[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-moody-s-peer-analysis":3,"mdc-sna1ok-key":36,"related-org-openai-moody-s-peer-analysis":20068,"related-repo-openai-moody-s-peer-analysis":20275},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"moody-s-peer-analysis","produce peer analysis reports for credit","Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers, run a peer analysis, do a credit peer comparison, generate a peer group report, or analyze relative credit positioning. Trigger even if they just name a company and mention \"peers\", \"peer comparison\", \"credit comparison\", \"peer group\", or \"relative value\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Research","research","tag",{"name":17,"slug":18,"type":15},"Reporting","reporting",{"name":20,"slug":21,"type":15},"HTML","html",{"name":23,"slug":24,"type":15},"Finance","finance",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fmoody-s\u002Fskills\u002Fmoody-s-peer-analysis","---\nname: moody-s-peer-analysis\ndescription: >\n Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's\n GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers,\n run a peer analysis, do a credit peer comparison, generate a peer group report, or analyze\n relative credit positioning. Trigger even if they just name a company and mention \"peers\",\n \"peer comparison\", \"credit comparison\", \"peer group\", or \"relative value\".\n---\n\n# Peer Analysis Skill\n\nGenerates a professional HTML report (styled like a Moody's peer analysis PDF) for a target\ncompany and up to 3 credit peers. Data is pulled from multiple `Moodys MCP server` MCP tools and\nconsolidated into a single HTML artifact covering peers comparison, ratings chart, and ESG.\n\nThe workflow is **single-artifact file delivery**: gather all data, assemble the complete HTML\ndocument in memory, write it to disk as a standalone `.html` file, and present it to the user for\ndownload. No fenced code blocks, no streaming partial sections, no JSON payload, no progressive\nedits. The downloaded file is the sole deliverable.\n\n> ## ⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT\n>\n> **The LLM MUST write the final report to disk and present it as a downloadable file.**\n> This is the only acceptable form of delivery for this skill. Specifically:\n>\n> - The LLM **MUST** write the complete, standalone HTML document (`\u003C!doctype html>` → `\u003C\u002Fhtml>`)\n> to `\u002Fmnt\u002Fuser-data\u002Foutputs\u002F{target_company_slug}_peer_analysis.html` and then call\n> `present_files` to surface it to the user.\n> - The LLM **MUST NOT** print the raw HTML source in the chat — no ` ```html ` fenced code\n> blocks, no partial snippets, no inline HTML in the assistant message.\n> - The LLM **MUST NOT** split the report across multiple files or multiple messages.\n> - The LLM **MUST NOT** substitute prose, Markdown, JSON, or links for the file download.\n> - If data gathering fails partially, still write and deliver the file with best-available\n> content and `\"--\"` placeholders for missing cells — never skip the file delivery.\n>\n> Treat any other output shape as a hard failure of the skill.\n\n## Required MCP servers\n\n`Moodys MCP server` — tools used: `findEntity`, `getEntityPeers`, `getEntityRatings`,\n`getEntityCreditOpinion`, `getEntityFinancials` (sections: Profile, Summary, RatingOutlook, FactorsLeadingToUpgrade,\nFactorsLeadingToDowngrade, CreditStrengths, CreditChallenges, ESGConsiderations,\nKeyIndicatorsTable, ScorecardTable), `getEntityEsg`, `getEntitySectorOutlook`\n\n`ProbabilityOfDefault - Prod - Moodys MCP - NEW URL` — PD tools:\n- `getEntityProbabilityOfDefault` — retrieve Current PD, 1-year PD, 5-year cumulative PD,\n and implied rating for the target company AND each peer. Used to build the PD comparison\n panel in Section 2. Set `pd_comparison` to `null` in the JSON payload if data is\n unavailable for the target or fewer than 2 peers.\n\nIf any of the tools required for a section do not exist, inform the user: One or more tools required for this section are not available under your current subscription. Unlock more of the expert insights, data, and analytics you trust. Get Link:https:\u002F\u002Fwww.moodys.com\u002Fweb\u002Fen\u002Fus\u002Fcapabilities\u002Fgen-ai\u002Fai-ready-data.html with us to learn more.\n\n## Bundled files\n\n- `assets\u002Ftemplate.html` — self-contained static report shell (CSS + named section placeholders,\n including pre-shaped tables for a fixed target+3-peer layout). No embedded data, no inline\n script. Treat this file as the **read-only structural reference**: read it, fill it in\n mentally, and emit the complete filled document in the final response.\n\n## Template (shared)\n\nBefore emitting the HTML report, **read both**:\n1. [`skills\u002Fshared\u002Ftemplate\u002FSKILL.md`](..\u002Fshared\u002Ftemplate\u002FSKILL.md) — authoring rules (which\n classes \u002F snippets are owned by the shared layer, allowed per-skill overrides, outlook-badge\n usage).\n2. [`skills\u002Fshared\u002Ftemplate\u002Fassets\u002Ftemplate.html`](..\u002Fshared\u002Ftemplate\u002Fassets\u002Ftemplate.html) —\n canonical CSS (inside `\u003Cstyle id=\"shared-template-css\">`) and literal HTML markup snippets\n (inside `\u003Ctemplate>` tags) for the document head, cover, TOC, section block, sources-section\n wrapper, footer, and outlook-badge.\n\n**Lookup order — always check the shared template before inventing.** If a class, design token,\nlayout primitive, or scaffold element you need is not defined in this `SKILL.md` or already\npresent in this skill's `assets\u002Ftemplate.html`, the shared template skill is authoritative. Do\nnot invent CSS, HTML scaffolds, or design tokens that the shared skill already provides; do not\nsilently restyle anything the shared skill owns (cover, TOC, section, sources-section wrapper,\nfooter, outlook-badge, design tokens, reset, body \u002F page base).\n\nAt emit time, copy the **contents** (not the `\u003Cstyle>` wrapper) of `\u003Cstyle id=\"shared-template-css\">`\nfrom the shared asset into the parent template's reserved marker region between the CSS-comment\nmarkers `\u002F* BEGIN shared-template-css ... *\u002F` and `\u002F* END shared-template-css *\u002F`. For HTML\nscaffolds (head boilerplate, cover, TOC, sources-section wrapper, footer), use the literal markup\nfrom the matching `\u003Ctemplate>` snippet in the shared asset. The parent template no longer\ncarries duplicated chrome CSS — those rules ship only in the shared asset.\n\nThis skill uses the **`cover-multi`** variant. Skill-specific override retained above the\nmarker region: `**.page { max-width: 1050px }**` (PA reports are wider than the 900px canonical\ndefault to fit the multi-column scorecard \u002F key-indicators tables). Skill-specific CSS that\nstays local: `.sub-heading`, all PA-specific table classes (`.pa-table`, `.credit-drivers-table`,\n`.ki-table`, `.sc-table`), and the chart helpers (`.chart-container`, `.chart-title`,\n`.chart-legend`, `.chart-legend-item`, `.chart-legend-swatch`). All outlook-badge usage in this\nskill must use the canonical pastel variants (`stable` \u002F `positive` \u002F `negative` \u002F `review` \u002F\n`na`) defined by the shared skill — no solid-fill or inline-color overrides. PA flags the target\nentity on the cover with `class=\"company-chip target\"`; the chip wrappers themselves come from\nthe shared cover-multi snippet.\n\n## Citations (shared)\n\nBefore emitting any `[n]` reference inline, any per-section recap block, or the end-of-document\nCitations block, **read both**:\n1. [`skills\u002Fshared\u002Fcitations\u002FSKILL.md`](..\u002Fshared\u002Fcitations\u002FSKILL.md) — authoring rules\n (numbering, hyperlinking, source data shape, carve-outs).\n2. [`skills\u002Fshared\u002Fcitations\u002Fassets\u002Ftemplate.html`](..\u002Fshared\u002Fcitations\u002Fassets\u002Ftemplate.html) —\n canonical CSS (inside `\u003Cstyle id=\"shared-citations-css\">`) and literal HTML markup snippets\n (inside `\u003Ctemplate>` tags) for inline references, the end-of-document Citations block, and\n the optional `.section-citations` recap.\n\nAt emit time, copy the **contents** (not the wrapper) of `\u003Cstyle id=\"shared-citations-css\">`\nfrom the shared asset into the parent template's reserved marker region, located inside\n`assets\u002Ftemplate.html` between the CSS-comment markers\n`\u002F* BEGIN shared-citations-css … *\u002F` and `\u002F* END shared-citations-css *\u002F`. The parent\ntemplate no longer carries duplicated citation CSS — those rules ship only in the shared\nasset.\n\nThe prefix used for the end-of-document container in this skill is `pa`, so the container id\nis `#pa-sources`. Optional per-section recap blocks live in `#pa-cite-peers`,\n`#pa-cite-ratings`, and `#pa-cite-esg`. Internal MCP tool names (e.g. `getEntityCreditOpinion`)\nare NEVER rendered inside `.source-meta`.\n\n---\n\n## Step 1 — Resolve the target company\n\nCall `findEntity` with the company name provided by the user. Store the canonical entity name\nand entity ID.\n\nIf the user provides only one company name, that is the **target company**. The peers will be\ndiscovered automatically in Step 2.\n\n---\n\n## Step 2 — Discover and resolve peers\n\nCall `getEntityPeers` for the target company. Select the top 3 peers returned.\n\nYou now have a set of up to **4 companies** (1 target + up to 3 peers). For each peer, call\n`findEntity` to resolve its canonical entity name and ID.\n\n---\n\n## Step 3 — Read the template\n\nRead `assets\u002Ftemplate.html` (relative to this skill directory) once. Keep its exact structure —\nCSS, `\u003Chead>`, section order, table skeletons (including all pre-shaped 4-company columns\u002Frows),\nrow labels, and element IDs — as the scaffold for the final artifact. Do **not** copy it to the\nworkspace and do **not** open it.\n\n---\n\n## Step 4 — Gather all data in parallel\n\nFor every company in the set (target + up to 3 peers), fire **all of the following in a single\nparallel batch** (one message, many tool calls):\n\n### Credit Opinion data (per company)\n\nCall `getEntityCreditOpinion`,`getEntityFinancials` requesting these sections, about the key Indicators table this should be populated with most recent fiscal year available (e.g. 2025 FY) on `getEntityFinancials`. Not LTM allowed:\n\n> **CRITICAL — `getEntityFinancials` is the authoritative source for all quantitative data.**\n> Always call `getEntityFinancials` (with `excludeInterimData: true`) for every entity in the\n> peer set to obtain the most recent **fiscal year-end** figures. Do NOT rely solely on the\n> Key Indicators or Scorecard exhibits embedded in `getEntityCreditOpinion` — those may\n> reference an older period. After fetching financials, identify each entity's latest year\n> with a non-null Revenue value and use that year exclusively for Key Indicators charts,\n> Scorecard \"Current\" column, and the Revenue bar chart. LTM figures are **not permitted**.\n\n| Section parameter | Purpose |\n|---|---|\n| `Profile` | Company description for the Peers Table |\n| `FactorsLeadingToUpgrade` | Upgrade factors for Credit Drivers |\n| `FactorsLeadingToDowngrade` | Downgrade factors for Credit Drivers |\n| `CreditStrengths` | Credit strengths for Credit Drivers |\n| `CreditChallenges` | Credit challenges for Credit Drivers |\n| `KeyIndicatorsTable` | Financial metrics for Key Indicators table |\n| `ScorecardTable` | Scorecard data |\n\n### Ratings (per company)\n\nCall `getEntityRatings` — retrieve the current long-term rating, rating class, rating date,\noutlook, and historical ratings (need at least the last 5 rating actions for the Ratings Chart).\n\n### ESG (per company)\n\nCall `getEntityEsg` — overall CIS classification plus E, S, G sub-scores.\n\n### Sector outlook (once per sector)\n\nCall `getEntitySectorOutlook` for the target company's sector. Reuse for peers in the same\nsector.\n\n### Probability of Default (target + all peers)\n\nCall `getEntityProbabilityOfDefault` for the target company AND every resolved peer in a\nsingle parallel batch. Retrieve:\n- 1-year PD (%)\n- 5-year cumulative PD (%)\n- PD-implied rating\n\nCompute the **peer average** for 1-year PD and 5-year cumulative PD (exclude the target).\nDetermine `pd_signal`:\n- `\"red\"` — target 1-year PD is >2× peer average\n- `\"amber\"` — target 1-year PD is 1.25–2× peer average\n- `\"green\"` — target 1-year PD is ≤1.25× peer average\n\nBuild `pd_gap_1yr` label (e.g. `\"+0.079pp above peer avg (3.5×)\"`).\n\nSet `pd_comparison` to `null` if the PD tool is unavailable or data is missing for the target\nor fewer than 2 peers — the panel is suppressed automatically.\n\nHold all results in context for Step 5 synthesis.\n\n---\n\n## Step 5 — Synthesize + emit the complete artifact\n\nAfter data is gathered, assemble the complete filled HTML document and write it to disk, then\npresent it to the user for download (see Step 7 for the file-naming and delivery contract).\n\nThe assembled document **must**:\n\n- Be a complete, standalone HTML document (doctype → `\u003C\u002Fhtml>`) that renders without\n external dependencies.\n- Preserve the template's `\u003Chead>` (CSS, fonts), section order, table skeletons, row labels, and\n element IDs exactly. Only the empty targets defined below are populated.\n\nWrite in professional financial\u002Fcredit analysis language. Always reference specific companies by\nname. The target company is **always the first column \u002F first row** in every table. Render order\nof content inside the code block follows the page top-to-bottom so the artifact is human-readable\nas well as browser-renderable: cover\u002Fheader fields first, then Peers Comparison sub-sections\n(1–6), Ratings Chart, ESG, and citations\u002Fsources last.\n\nAttribute substantive claims with numbered citation references. The exact inline markup, the\nURL-less fallback, and the rule that `n` matches the row position of the source inside\n`#pa-sources` are defined in [skills\u002Fshared\u002Fcitations\u002FSKILL.md](..\u002Fshared\u002Fcitations\u002FSKILL.md).\n\n### Cover \u002F header fields (write first)\n\n- `#pa-report-date` — e.g. `April 20, 2026` (plain text)\n- `#pa-footer-date` — same value (plain text)\n- `#pa-target-company` — canonical name of the target (plain text)\n- `#pa-peer-count` — integer count of peers resolved in Step 2 (plain text)\n- `#pa-company-chips` — `\u003Cspan class=\"company-chip target\">Target\u003C\u002Fspan>` followed by one\n `\u003Cspan class=\"company-chip\">Peer\u003C\u002Fspan>` per peer (space-separated; target first)\n- `#pa-cover-img-right`, `#pa-cover-img-bottom` — optional. If you have image URLs or data URIs\n to use, set the `src` attributes **and** add the `has-cover-image` class to the corresponding\n container (`\u003Cdiv class=\"cover-top has-cover-image\">` and\u002For `\u003Cdiv class=\"cover-bottom has-cover-image\">`).\n If you do not have images, leave the template as-is — the empty image strips will collapse\n automatically and the cover will render as a clean navy block with the accent bar.\n\n### Section 1 — Peers Comparison Table & Analysis\n\n**1) Peers Table** → `\u003Ctbody id=\"pa-peers-table\">`\n\nWrite one `\u003Ctr>` per company. Two columns: company name + a substantive description paragraph\nsourced from the Credit Opinion `Profile` section (headquarters, business overview, key\nbrands\u002Fsegments, approximate TTM revenue). Description paragraphs may carry inline citations.\n\n**2) Peers Rating** → `\u003Ctbody id=\"pa-peers-rating\">`\n\nWrite one `\u003Ctr>` per company. Three columns: company name, rating (formatted as\n`{rating} ({rating class} \u002F {date})`), and `\u003Cspan class=\"outlook-badge …\">Outlook\u003C\u002Fspan>`.\nUse class rules below.\n\n**3) Credit Drivers** — 5 rows × 4 company columns, pre-shaped `\u003Ctable>` with per-cell IDs\n\nWrite the 4 company header cells first:\n- `#pa-cd-col-1` — target name (plain text)\n- `#pa-cd-col-2`, `#pa-cd-col-3`, `#pa-cd-col-4` — peer names in order (leave empty if fewer\n than 3 peers were resolved)\n\nThen write the 16 body cells (`#pa-cd-r{1..4}-c{1..4}`). Each cell is a substantive paragraph\nwith specific quantitative thresholds where available. Cells may carry inline citations:\n\n- Row 1 (`Upgrade factors`) — from `FactorsLeadingToUpgrade`\n- Row 2 (`Downgrade factors`) — from `FactorsLeadingToDowngrade`\n- Row 3 (`Credit strengths (qualitative)`) — from `CreditStrengths`\n- Row 4 (`Credit challenges (qualitative)`) — from `CreditChallenges`\n\n> **Row 5 (\"Quantitative support\") has been removed.** Do NOT emit a 5th row in the Credit\n> Drivers table. The pre-shaped table in `assets\u002Ftemplate.html` has 5 row slots — leave\n> `#pa-cd-r5-c{1..4}` blank and suppress the row label for Row 5 by setting its `\u003Cth>` to\n> an empty string or by omitting it entirely if the template allows. Quantitative metrics\n> are covered by the Key Indicators bar charts immediately below.\n\nIf a Credit Opinion section is missing for a company, write `Not available` in the corresponding\ncell rather than leaving it blank.\n\n**4) Key Indicators — Peer Bar Charts** → `#pa-ki-charts`\n\nReplace the static Key Indicators table with a set of **horizontal peer bar charts** matching\nthe visual style from the sector-drift report. Emit a `\u003Cdiv id=\"pa-ki-charts\">` block\ncontaining **five** `peer-bar-chart-outer` panels, one per metric:\n\n| Chart | Metric | Unit | Source | Note on \"lower is better\" |\n|-------|--------|------|--------|--------------------------|\n| 1 | FCF Margin % | `%` | (OCF − \\|Capex\\|) \u002F Revenue | Higher = better |\n| 2 | Debt \u002F EBITDA | `x` | Moody's pre-computed Key Indicators | Lower = better |\n| 3 | EBITDA Margin % | `%` | EBITDA \u002F Revenue | Higher = better |\n| 4 | EBITA \u002F Interest | `x` | Moody's pre-computed Key Indicators | Higher = better |\n| 5 | RCF \u002F Net Debt | `%` | Moody's pre-computed Key Indicators | Higher = better |\n\nFor each chart:\n- Show one bar per company (target first, then peers sorted by descending value, then AVERAGE last)\n- The target bar uses `background:#0066cc` (blue); AVERAGE bar uses `background:#2e7d32` (green)\n- Peers use `background:#7ca8d8` (steel blue) for positive values, `background:#e0a0a0` for negative\n- Draw an orange median line (`background: #e87722`) at the peer median position\n- **Show the fiscal year for each company's bar** by appending the FY label in parentheses to\n the `pbc-name` element (e.g. `Target Co (FY2025)`, `Peer A (FY2024)`). This is required\n because different entities may have different most-recent fiscal years. Use the same FY\n year identified via `getEntityFinancials` for each entity.\n- Display the fiscal year reference at the top of the block (e.g. `FY2025, % of revenue | Orange line = peer median | Green bar = peer average`); if entities have mixed FYs, write `Most recent FY` instead of a single year\n- Include a note line at the bottom with: peer median, peer avg (n=X), company value, gap\n\n**Compute peer average and peer median** across all resolved peers (exclude the target).\n\n**FY period header**: show the most recent common FY year at the top of `#pa-ki-charts` in\na `\u003Cdiv class=\"ki-fy-header\">` (e.g. `KEY INDICATORS — FY2025 | Company vs. Peers`).\n\n**Reference snippet** for one chart panel (emit five of these inside `#pa-ki-charts`):\n\n```html\n\u003Cdiv id=\"pa-ki-charts\">\n \u003Cdiv class=\"ki-fy-header\">KEY INDICATORS — FY2025 | Company vs. Peers\u003C\u002Fdiv>\n\n \u003Cdiv class=\"peer-bar-chart-outer\">\n \u003Cdiv class=\"pbc-title\">FCF MARGIN — COMPANY VS. PEERS\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-subtitle\">FY2025, % of revenue | Orange line = peer median | Green bar = peer average\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-rows\">\n \u003C!-- Target (subject) row -->\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name subject\" title=\"Target Co\">Target Co\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-median-line\" style=\"left:52.3%\">\u003Cdiv class=\"pbc-median-tip\">Median 8.4%\u003C\u002Fdiv>\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-fill subj-neg\" style=\"left:0;width:12.1%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val neg\">-2.1%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C!-- Peer rows (sorted descending by value) -->\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name\" title=\"Peer A\">Peer A\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-median-line\" style=\"left:52.3%\">\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-fill peer-pos\" style=\"left:0;width:100%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val pos\">12.3%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C!-- AVERAGE bar (last, separated by dashed border) -->\n \u003Cdiv class=\"pbc-row\" style=\"margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3\">\n \u003Cdiv class=\"pbc-name average\">AVERAGE\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-fill avg-bar\" style=\"left:0;width:70.7%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val avg-val\">8.7%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-note\">Peer median 8.42% | Peer avg 8.70% (n=6, Moody's). Company: -2.10%. Gap vs. median: -10.52pp.\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n\n \u003C!-- Repeat for Debt\u002FEBITDA, EBITDA Margin %, EBITA\u002FInterest, RCF\u002FNet Debt -->\n\u003C\u002Fdiv>\n```\n\n**Bar width calculation** — for charts with only positive values:\n- Find `maxAbs` = max of all absolute values across company + peers\n- `fillW` = `(value \u002F maxAbs * 88).toFixed(1) + '%'`\n\nFor charts that could include negative values (FCF Margin):\n- Use a zero-anchored track: `zeroPct = 44`, positive bars grow right, negative bars grow left\n- `fillW = (|value| \u002F maxAbs * 44).toFixed(1) + '%'`\n- `fillL` for negative: `(zeroPct - |value|\u002FmaxAbs*44).toFixed(1) + '%'`\n\n**Median line position**: `medPct = (medV \u002F maxAbs * 88).toFixed(1) + '%'` (positive-only charts)\n\nSource all values from `getEntityFinancials` (most recent FY — same period used in scorecards).\nIf a value is missing, omit the bar row for that company.\n\n**5) Scorecards** — 7 rows × 8 sub-columns (4 companies × Current\u002FForward), pre-shaped `\u003Ctable>`\n\nWrite the 4 top-level company headers first:\n- `#pa-sc-col-1` — target name\n- `#pa-sc-col-2`, `#pa-sc-col-3`, `#pa-sc-col-4` — peer names\n\nWrite the 8 sub-header labels:\n- `#pa-sc-col-{1..4}-curr` — current-period label that **must exactly match the most-recent\n FY period used for that entity in the Key Indicators bar charts** (e.g. if Apple's KI data\n is from FY2025, write `FY2025`; if Microsoft's is from FY2024, write `FY2024`). Each\n entity's label is set independently — do not force a single common year across all columns.\n- `#pa-sc-col-{1..4}-fwd` — forward-period label (e.g. `Forward`)\n\n> **FY LABEL SYNCHRONY — STRICTLY ENFORCED (Sections 4 and 5):**\n> The fiscal year label shown in Section 4 (Key Indicators bar charts) for each entity\n> **MUST be identical** to the label shown in the `#pa-sc-col-{n}-curr` sub-header for that\n> same entity in Section 5 (Scorecards). This is a hard consistency requirement:\n>\n> - Determine the most-recent non-null full fiscal year-end for each entity from\n> `getEntityFinancials` (with `excludeInterimData: true`). Label it as `FY{YYYY}`\n> (e.g. `FY2025`, `FY2024`). **Never use \"LTM\", \"TTM\", \"Current\", or any period\n> label other than the specific `FY{YYYY}` form.**\n> - Write that exact `FY{YYYY}` string in:\n> 1. The `pbc-name` element of each company's row inside every Section 4 bar chart\n> (appended in parentheses, e.g. `Apple Inc. (FY2025)`), AND in the\n> `\u003Cdiv class=\"ki-fy-header\">` block label.\n> 2. The `#pa-sc-col-{n}-curr` sub-header cell for that entity in Section 5.\n> 3. The data values themselves — all numbers in Section 4 and Section 5 Current cells\n> must be sourced from the same `FY{YYYY}` period.\n> - If two entities have different most-recent FYs, each gets its own correct label\n> independently. The header `\u003Cdiv class=\"ki-fy-header\">` should then read\n> `KEY INDICATORS — Most Recent FY | Company vs. Peers`.\n> - This synchrony check is mandatory before emitting the final HTML. Mismatched labels\n> between Section 4 and Section 5 are a hard failure of the skill.\n\n> **`~` (tilde) prefix rule — STRICT:** The `~` prefix (e.g. `~2.5x`, `~15%`) means\n> *approximately estimated \u002F forecast* and must **only** appear in **Forward** (`-fwd`) cells.\n> It must **never** appear in **Current** (`-curr`) cells. Current-period cells contain actual\n> reported or Moody's-adjusted figures sourced from `getEntityFinancials`; use the precise\n> value as-is (e.g. `2.3x`, `14.8%`). If the exact current figure is unavailable, write `N\u002FA`\n> — do not substitute a tilde-prefixed estimate.\n\nThen write the 56 body cells (`#pa-sc-r{1..7}-c{1..4}-curr` and `-fwd`) for the 7 rows:\n- Row 1 — Scale: Revenue\u002FSales (USD bn)\n- Row 2 — Profitability: EBIT(A) margin\n- Row 3 — Leverage: Debt\u002FEBITDA\n- Row 4 — Cash flow: RCF\u002FNet debt\n- Row 5 — Coverage: EBIT(A)\u002FInterest\n- Row 6 — Scorecard-indicated outcome\n- Row 7 — Actual rating\n\nSource from `ScorecardTable` in the Credit Opinion and `getEntityFinancials`\n\n**6) Conclusion** → `#pa-conclusion`\n\nThree `\u003Cp>` paragraphs focused on **differentiation** of the target among its peers. Paragraphs\nmay carry inline citations:\n\n- Paragraph 1: How the target differentiates positively vs. weaker peers on quantitative metrics\n (leverage, coverage, cash flow). Cite specific ratios.\n- Paragraph 2: Business risk profile comparison — where the target is more concentrated or less\n diversified vs. stable peers. Reference upgrade\u002Fdowngrade triggers.\n- Paragraph 3: Practical positioning — frame the target's \"path to stand out\" by linking back\n to the upgrade\u002Fdowngrade framework and key risk factors.\n\n### Section 2 — Ratings Chart (± Probability of Default)\n\n> **SECTION 2 TITLE RULE — STRICTLY ENFORCED:**\n> The heading for Section 2 (in both the TOC `\u003Cli>` and the `\u003Cdiv class=\"section-heading\">`)\n> must be set **conditionally** at emit time:\n>\n> - If PD data is available (i.e. `pd_comparison` is NOT `null`) →\n> use **\"Section 2. Ratings Chart & Probability of Default\"**\n> - If PD data is unavailable (i.e. `pd_comparison` is `null`, the MCP server is unreachable,\n> or data is missing for the target or fewer than 2 peers) →\n> use **\"Section 2. Ratings Chart\"**\n>\n> The template ships with the longer title as a placeholder; overwrite it in both locations\n> (`#sec2 .section-heading` and the matching `\u003Cli>` in `\u003Cul class=\"toc-list\">`) whenever\n> PD data is absent. Never show \"& Probability of Default\" in the title if there is no PD panel.\n\n**Chart** → `#pa-ratings-chart`\n\nEmit a single inline `\u003Csvg>` block authored by the agent (see SVG template below). The chart\nplots the last 5 rating actions for each company as a line chart. X-axis uses sequential labels\n(`Rating 1` … `Rating 5`, most recent first); Y-axis maps Moody's rating symbols to a numeric\nscale.\n\n**PD Panel** → `#pa-pd-panel`\n\nImmediately after the ratings chart, emit the Probability of Default panel as a **horizontal\nbar chart** using the same `.peer-bar-chart-outer` style as the Key Indicators charts in\nSection 1. If PD data is unavailable, leave `#pa-pd-panel` empty (the element collapses).\n\nEmit one `peer-bar-chart-outer` block showing the **1-year PD (%)** for each company. Use the\nsame CSS classes and bar-width formula as the KI charts (`pbc-fill`, `pbc-track`, `pbc-rows`,\netc.). Include a note row at the bottom with peer median, peer average, and the gap signal.\n\nSignal colouring for the target bar:\n- `pbc-fill subj-neg` (red) — target 1-year PD > 2× peer average (`pd_signal: \"red\"`)\n- `pbc-fill subj-pos` (blue) — all other cases\n\n**Reference snippet** (emit this block directly into `#pa-pd-panel`):\n\n```html\n\u003Cdiv class=\"peer-bar-chart-outer\">\n \u003Cdiv class=\"pbc-title\">PROBABILITY OF DEFAULT — 1-YEAR PD (%)\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-subtitle\">Moody's PD model | Orange line = peer median | Green bar = peer average\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-rows\">\n \u003C!-- Target (subject) row — blue or red depending on pd_signal -->\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name subject\" title=\"Target Co\">Target Co\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-median-line\" style=\"left:38.5%\">\u003Cdiv class=\"pbc-median-tip\">Median 0.032%\u003C\u002Fdiv>\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-fill subj-neg\" style=\"left:0;width:100%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val neg\">0.111%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C!-- Peer rows (sorted descending by pd_1yr) -->\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name\" title=\"Peer A\">Peer A\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-median-line\" style=\"left:38.5%\">\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-fill peer-pos\" style=\"left:0;width:54.1%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val pos\">0.060%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C!-- AVERAGE bar (last, separated by dashed border) -->\n \u003Cdiv class=\"pbc-row\" style=\"margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3\">\n \u003Cdiv class=\"pbc-name average\">AVERAGE\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-fill avg-bar\" style=\"left:0;width:28.8%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val avg-val\">0.032%\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-note\">Peer median 0.032% | Peer avg 0.032% (n=3). Target: 0.111%. Gap: +0.079pp above peer avg (3.5×). PD-implied rating: A1.\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-note\" style=\"margin-top:4px;font-style:italic\">One-sentence PD narrative goes here.\u003C\u002Fdiv>\n\u003C\u002Fdiv>\n```\n\n**Bar width calculation:** `fillW = (pd_1yr \u002F maxPD * 88).toFixed(1) + '%'` where `maxPD` is\nthe maximum 1-year PD across all companies including the target.\n\n**Median line position:** `medPct = (medianPD \u002F maxPD * 88).toFixed(1) + '%'`\n\n**Analysis** → `#pa-ratings-analysis`\n\nOne `\u003Cp>` paragraph on rating trajectories — which companies show improvement, deterioration,\nor stability, and what that implies for relative credit positioning. May carry inline citations.\n\n### Section 3 — ESG Table & Analysis\n\n**ESG Table** → `\u003Ctbody id=\"pa-esg-table\">`\n\nWrite one `\u003Ctr>` per company. Five columns: company name, Overall (CIS-*), Environmental (E-*),\nSocial (S-*), Governance (G-*).\n\n**Analysis** → `#pa-esg-analysis`\n\nTwo `\u003Cp>` paragraphs. Paragraphs may carry inline citations:\n\n- Paragraph 1: Compare ESG profiles across the peer set. Identify which companies share similar\n profiles and what drives the overall classification.\n- Paragraph 2: Highlight the key differentiator (typically Governance) and explain which company\n stands out as weaker\u002Fstronger and why.\n\n### Citations & sources (write last)\n\n- `#pa-cite-peers` — optional `\u003Cdiv class=\"section-citations\">…\u003C\u002Fdiv>` recap for the\n peers-comparison section. Use the markup defined in\n [skills\u002Fshared\u002Fcitations\u002FSKILL.md](..\u002Fshared\u002Fcitations\u002FSKILL.md). Omit if empty.\n- `#pa-cite-ratings` — optional recap for the ratings-chart section. Same markup.\n- `#pa-cite-esg` — optional recap for the ESG section. Same markup.\n- `#pa-sources` — end-of-document Citations rows. One `\u003Cdiv class=\"source-item\">` per source,\n in `[1], [2], …` order, using the canonical row markup from the shared citations skill.\n Internal MCP tool names are NEVER rendered in `.source-meta`.\n\n---\n\n## Streaming protocol (element → content mapping)\n\n| Element ID | Content type |\n|------------------------------------------------------|------------------------------------------------------------------------|\n| `#pa-report-date` | Plain text date |\n| `#pa-footer-date` | Plain text date (same value) |\n| `#pa-target-company` | Plain text (canonical target name) |\n| `#pa-peer-count` | Plain text integer |\n| `#pa-company-chips` | `\u003Cspan class=\"company-chip target\">` + `\u003Cspan class=\"company-chip\">`s |\n| `#pa-cover-img-right`, `#pa-cover-img-bottom` | `\u003Cimg>` element — set `src` attribute |\n| `\u003Ctbody id=\"pa-peers-table\">` | `\u003Ctr>` rows (company name + description) with inline citations |\n| `\u003Ctbody id=\"pa-peers-rating\">` | `\u003Ctr>` rows with `\u003Cspan class=\"outlook-badge …\">` |\n| `#pa-cd-col-1` … `#pa-cd-col-4` | Plain text (company names) |\n| `#pa-cd-r{1..4}-c{1..4}` | Prose cell content (short `\u003Cp>` or plain text) with inline citations |\n| `#pa-ki-charts` | Five `.peer-bar-chart-outer` panels (FCF Margin, Debt\u002FEBITDA, EBITDA Margin, EBITA\u002FInterest, RCF\u002FNet Debt) |\n| `#pa-sc-col-1` … `#pa-sc-col-4` | Plain text (company names, span 2 sub-columns) |\n| `#pa-sc-col-{1..4}-curr`, `#pa-sc-col-{1..4}-fwd` | Plain text sub-header labels (Current \u002F Forward period) |\n| `#pa-sc-r{1..7}-c{1..4}-curr`, `…-fwd` | Plain text scorecard cell values |\n| `#pa-conclusion` | Three `\u003Cp>` paragraphs with inline citations |\n| `#pa-ratings-chart` | Single `\u003Cdiv class=\"chart-container\">…\u003Csvg>…\u003C\u002Fsvg>…\u003C\u002Fdiv>` block |\n| `#pa-pd-panel` | PD comparison panel — horizontal bar chart using `peer-bar-chart-outer` style |\n| `#pa-ratings-analysis` | One `\u003Cp>` paragraph with inline citations |\n| `\u003Ctbody id=\"pa-esg-table\">` | `\u003Ctr>` rows (company + overall + E + S + G) |\n| `#pa-esg-analysis` | Two `\u003Cp>` paragraphs with inline citations |\n| `#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg` | `\u003Cdiv class=\"section-citations\">…\u003C\u002Fdiv>` (optional, see shared citations skill) |\n| `#pa-sources` | `\u003Cdiv class=\"source-item\">` rows (see shared citations skill) |\n\nIf fewer than 3 peers are returned, leave unused column\u002Frow IDs empty. Do not collapse or remove\ncells — the pre-shaped table simply keeps those cells blank.\n\n### Reference HTML snippets\n\n**Peers table row** (`\u003Ctbody id=\"pa-peers-table\">`):\n\n```html\n\u003Ctr>\n \u003Ctd class=\"company-name\">Target Co\u003C\u002Ftd>\n \u003Ctd>Headquartered in Dearborn, Michigan, Target Co is a global automaker with TTM revenue of approximately $180B \u003Ca href=\"https:\u002F\u002Fexample.com\u002Fcredit-opinion-target\" target=\"_blank\" class=\"cite-ref\">[1]\u003C\u002Fa>, anchored by its F-Series, SUV, and Pro commercial businesses \u003Ca href=\"https:\u002F\u002Fexample.com\u002Fprofile-target\" target=\"_blank\" class=\"cite-ref\">[2]\u003C\u002Fa>.\u003C\u002Ftd>\n\u003C\u002Ftr>\n```\n\n**Peers rating row** (`\u003Ctbody id=\"pa-peers-rating\">`):\n\n```html\n\u003Ctr>\n \u003Ctd class=\"company-name\">Target Co\u003C\u002Ftd>\n \u003Ctd>Baa3 (Senior Unsecured - Dom Curr \u002F 2024-05-09)\u003C\u002Ftd>\n \u003Ctd>\u003Cspan class=\"outlook-badge stable\">Stable\u003C\u002Fspan>\u003C\u002Ftd>\n\u003C\u002Ftr>\n```\n\n**Company chips** (`#pa-company-chips`):\n\n```html\n\u003Cspan class=\"company-chip target\">Target Co\u003C\u002Fspan>\n\u003Cspan class=\"company-chip\">Peer One\u003C\u002Fspan>\n\u003Cspan class=\"company-chip\">Peer Two\u003C\u002Fspan>\n\u003Cspan class=\"company-chip\">Peer Three\u003C\u002Fspan>\n```\n\n**ESG table row** (`\u003Ctbody id=\"pa-esg-table\">`):\n\n```html\n\u003Ctr>\n \u003Ctd class=\"company-name\">Target Co\u003C\u002Ftd>\n \u003Ctd>CIS-3\u003C\u002Ftd>\n \u003Ctd>E-4\u003C\u002Ftd>\n \u003Ctd>S-3\u003C\u002Ftd>\n \u003Ctd>G-2\u003C\u002Ftd>\n\u003C\u002Ftr>\n```\n\n**Credit Drivers — per-cell write** (repeat for each of the 20 body cells):\n\n```html\nLeverage sustained below 2.5x Debt\u002FEBITDA, EBITA margin above 7%, and sustained positive free cash flow after dividends \u003Ca href=\"https:\u002F\u002Fexample.com\u002Fcredit-opinion-target\" target=\"_blank\" class=\"cite-ref\">[1]\u003C\u002Fa>.\n```\n\n**Conclusion paragraph** (inside `#pa-conclusion`, same inline-citation pattern applies to\n`#pa-ratings-analysis` and `#pa-esg-analysis`):\n\n```html\n\u003Cp>On pure quantitative credit metrics, Target Co stands out decisively: Debt\u002FEBITDA of 0.7x and EBITA\u002FInterest of 27x are in line with the strongest-scoring peers, while its scale advantage (LTM revenue of $294B vs. $61B and $23B for the peer set) and FCF\u002FDebt of 41% add a differentiation layer the others cannot match \u003Ca href=\"https:\u002F\u002Fexample.com\u002Fcredit-opinion-target\" target=\"_blank\" class=\"cite-ref\">[1]\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fexample.com\u002Fpeer-ratings\" target=\"_blank\" class=\"cite-ref\">[2]\u003C\u002Fa>.\u003C\u002Fp>\n```\n\n**Key Indicators — single row** (emit the full `\u003Ctr>` for each company inside the\n`#pa-key-indicators` table, keeping the per-cell `id` attributes intact):\n\n```html\n\u003Ctr>\n \u003Ctd id=\"pa-ki-r1-company\">Target Co\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v1\">LTM (30 Sep 2025)\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v2\">180.2B\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v3\">155.6B\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v4\">7.8B\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v5\">4.33%\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v6\">13.1B\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v7\">11.88x\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v8\">3.62x\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v9\">136.0B\u003C\u002Ftd>\n \u003Ctd id=\"pa-ki-r1-v10\">18.5%\u003C\u002Ftd>\n\u003C\u002Ftr>\n```\n\n**Scorecard — per-cell write** (Current or Forward):\n\n```html\n2.7x\n```\n\n**Section citations recap** (`#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg`) and\n**sources rows** (`#pa-sources`): see\n[skills\u002Fshared\u002Fcitations\u002FSKILL.md](..\u002Fshared\u002Fcitations\u002FSKILL.md) for the canonical markup.\nReuse the same `[n]` numbering across inline references, optional recap blocks, and the\nend-of-document Citations block. Never include MCP tool names in `.source-meta`.\n\n---\n\n## Ratings Chart SVG template\n\nEmit the entire chart as a single HTML string into `#pa-ratings-chart`. The agent authors the\nSVG directly — there is no runtime script.\n\n### Hardcoded constants\n\n- Dimensions: `W = 700`, `H = 350`\n- Padding: `PAD_L = 70`, `PAD_R = 30`, `PAD_T = 30`, `PAD_B = 50`\n- Plot area: width `= W - PAD_L - PAD_R = 600`, height `= H - PAD_T - PAD_B = 270`\n- Number of x-axis points: `maxPts` = the largest number of ratings any company has, capped at 5\n- Palette (first = target): `#0066cc`, `#e6550d`, `#1a7a4a`, `#8b5cf6`, `#d63384`\n\n### Moody's rating → numeric value map\n\n| Rating | Value | Rating | Value |\n|--------|-------|--------|-------|\n| Aaa | 21 | Ba1 | 11 |\n| Aa1 | 20 | Ba2 | 10 |\n| Aa2 | 19 | Ba3 | 9 |\n| Aa3 | 18 | B1 | 8 |\n| A1 | 17 | B2 | 7 |\n| A2 | 16 | B3 | 6 |\n| A3 | 15 | Caa1 | 5 |\n| Baa1 | 14 | Caa2 | 4 |\n| Baa2 | 13 | Caa3 | 3 |\n| Baa3 | 12 | Ca | 2 |\n| | | C | 1 |\n\n`RATING_LABELS` (index 0..20 → symbol): `[\"C\", \"Ca\", \"Caa3\", \"Caa2\", \"Caa1\", \"B3\", \"B2\", \"B1\", \"Ba3\", \"Ba2\", \"Ba1\", \"Baa3\", \"Baa2\", \"Baa1\", \"A3\", \"A2\", \"A1\", \"Aa3\", \"Aa2\", \"Aa1\", \"Aaa\"]`.\n\n### Coordinate formulae\n\nCompute once per chart:\n\n- Collect every rating value across all companies' last-5 series → `values[]`.\n- `minV = clamp(min(values) - 1, 1, 21)`\n- `maxV = clamp(max(values) + 1, 1, 21)` (ensure `maxV > minV`; if equal, set `maxV = minV + 1`)\n\nPer point `(i, v)` where `i` is the x-index (0-based) and `v` is the rating value:\n\n- `xPos(i) = PAD_L + (i \u002F (maxPts - 1)) * 600` = `70 + (i \u002F (maxPts - 1)) * 600`\n- `yPos(v) = PAD_T + 270 - ((v - minV) \u002F (maxV - minV)) * 270` = `30 + 270 - ((v - minV) \u002F (maxV - minV)) * 270`\n\n### Reference SVG block\n\n```html\n\u003Cdiv class=\"chart-container\">\n \u003Cdiv class=\"chart-title\">Last 5 Ratings for Target and Peers\u003C\u002Fdiv>\n \u003Csvg viewBox=\"0 0 700 350\" width=\"100%\" preserveAspectRatio=\"xMidYMid meet\">\n \u003C!-- Horizontal gridlines + y-axis rating labels (one line + label per rating tick from minV to maxV) -->\n \u003Cline x1=\"70\" y1=\"30\" x2=\"670\" y2=\"30\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"34\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Baa1\u003C\u002Ftext>\n \u003Cline x1=\"70\" y1=\"84\" x2=\"670\" y2=\"84\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"88\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Baa2\u003C\u002Ftext>\n \u003Cline x1=\"70\" y1=\"138\" x2=\"670\" y2=\"138\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"142\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Baa3\u003C\u002Ftext>\n \u003Cline x1=\"70\" y1=\"192\" x2=\"670\" y2=\"192\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"196\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Ba1\u003C\u002Ftext>\n \u003Cline x1=\"70\" y1=\"246\" x2=\"670\" y2=\"246\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"250\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Ba2\u003C\u002Ftext>\n \u003Cline x1=\"70\" y1=\"300\" x2=\"670\" y2=\"300\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"64\" y=\"304\" text-anchor=\"end\" font-size=\"10\" fill=\"#475569\">Ba3\u003C\u002Ftext>\n\n \u003C!-- X-axis baseline + tick labels -->\n \u003Cline x1=\"70\" y1=\"300\" x2=\"670\" y2=\"300\" stroke=\"#334155\" stroke-width=\"1.5\"\u002F>\n \u003Ctext x=\"70\" y=\"320\" text-anchor=\"middle\" font-size=\"10\" fill=\"#475569\">Rating 1\u003C\u002Ftext>\n \u003Ctext x=\"220\" y=\"320\" text-anchor=\"middle\" font-size=\"10\" fill=\"#475569\">Rating 2\u003C\u002Ftext>\n \u003Ctext x=\"370\" y=\"320\" text-anchor=\"middle\" font-size=\"10\" fill=\"#475569\">Rating 3\u003C\u002Ftext>\n \u003Ctext x=\"520\" y=\"320\" text-anchor=\"middle\" font-size=\"10\" fill=\"#475569\">Rating 4\u003C\u002Ftext>\n \u003Ctext x=\"670\" y=\"320\" text-anchor=\"middle\" font-size=\"10\" fill=\"#475569\">Rating 5\u003C\u002Ftext>\n\n \u003C!-- Target company line (palette[0] = #0066cc) -->\n \u003Cpath d=\"M70,138 L220,138 L370,192 L520,192 L670,192\"\n fill=\"none\" stroke=\"#0066cc\" stroke-width=\"2.5\"\u002F>\n \u003Ccircle cx=\"70\" cy=\"138\" r=\"4\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"220\" cy=\"138\" r=\"4\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"370\" cy=\"192\" r=\"4\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"520\" cy=\"192\" r=\"4\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"670\" cy=\"192\" r=\"4\" fill=\"#0066cc\"\u002F>\n\n \u003C!-- Repeat \u003Cpath>+\u003Ccircle>s for peers 2, 3, 4 using palette[1..3] -->\n \u003C\u002Fsvg>\n \u003Cdiv class=\"chart-legend\">\n \u003Cdiv class=\"chart-legend-item\">\u003Cspan class=\"chart-legend-swatch\" style=\"background:#0066cc\">\u003C\u002Fspan>Target Co\u003C\u002Fdiv>\n \u003Cdiv class=\"chart-legend-item\">\u003Cspan class=\"chart-legend-swatch\" style=\"background:#e6550d\">\u003C\u002Fspan>Peer One\u003C\u002Fdiv>\n \u003Cdiv class=\"chart-legend-item\">\u003Cspan class=\"chart-legend-swatch\" style=\"background:#1a7a4a\">\u003C\u002Fspan>Peer Two\u003C\u002Fdiv>\n \u003Cdiv class=\"chart-legend-item\">\u003Cspan class=\"chart-legend-swatch\" style=\"background:#8b5cf6\">\u003C\u002Fspan>Peer Three\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n```\n\n### Class-selection rules\n\n**`.outlook-badge`** modifier (inside peers-rating rows):\n\n- `stable` — outlook is \"Stable\"\n- `positive` — outlook is \"Positive\"\n- `negative` — outlook is \"Negative\"\n- `review` — outlook contains \"Review\" (e.g., \"Rating Under Review\")\n- `na` — outlook is missing or unknown\n\n**`.company-chip.target`** applies only to the target (first) chip. Remaining chips use plain\n`.company-chip`.\n\n### Conventions\n\n- Use `\u003Cp>` for paragraphs, `\u003Cul>\u003Cli>` for bullets, `\u003Cstrong class=\"subsection-title\">…\u003C\u002Fstrong>`\n for bold subheaders inside prose containers.\n- Emit inline citations per [skills\u002Fshared\u002Fcitations\u002FSKILL.md](..\u002Fshared\u002Fcitations\u002FSKILL.md).\n Inline citations are the primary attribution mechanism — the optional per-section blocks\n (`#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg`) remain available as supplementary\n summary boxes.\n- Do NOT include overall section titles — the template already has those.\n- `rating` values: use Moody's rating symbol (e.g. `Aaa`, `Aa1`, `Baa2`, `Ba1`). If not found,\n use `N\u002FA`.\n- `outlook` values: `Stable`, `Positive`, `Negative`, `Rating Under Review`, or `N\u002FA`.\n\n---\n\n\n\n\n\n\n\n\n---\n\n## Tips\n\n- Run ALL data-gathering tool calls in a single parallel batch (one message, many tool calls).\n- Write the final HTML to disk as a single `.html` file and deliver it via `present_files` — do not print the HTML source in the chat, do not split across multiple files.\n- The target company always appears as the first column \u002F first row in every table and\n comparison.\n- The conclusion must orient around the target company — how it differentiates from its peers.\n- If fewer than 3 peers are returned, leave the unused column\u002Frow IDs empty. The pre-shaped\n tables keep those cells blank — do not attempt to collapse or restructure the table.\n- If `getEntityCreditOpinion` does not return a particular section, write `Not available` in the\n corresponding cell rather than leaving it blank.\n- `getEntitySectorOutlook` typically applies to all companies in the same sector — call once\n and reuse.\n- Emit the ratings-chart SVG directly into `#pa-ratings-chart` — the template no longer builds\n the chart at render time. Pick the `.outlook-badge` class yourself using the rules above.\n- For companies with fewer than 5 historical ratings, either repeat the oldest available rating\n value to fill the trailing points, or reduce `maxPts` in the chart formula to the largest\n available count (and drop the corresponding `Rating k` x-axis labels).\n- Inline citations follow the shared citations skill — read\n [skills\u002Fshared\u002Fcitations\u002FSKILL.md](..\u002Fshared\u002Fcitations\u002FSKILL.md) before authoring any `[n]`\n reference or the Citations block.\n- **PD panel**: write the fully rendered HTML directly into `#pa-pd-panel` using the CSS classes\n already in the template (`.pd-panel`, `.pd-stats`, `.pbc-rows`, etc.). The template's `\u003Cscript>`\n block handles the `data-pd` attribute approach as a fallback, but writing innerHTML directly is\n preferred in the static-artifact delivery mode. If PD data is unavailable, leave `#pa-pd-panel`\n empty (the section collapses automatically).\n- **Key Indicators bar charts**: write the complete `#pa-ki-charts` block directly — five\n `.peer-bar-chart-outer` panels. Use the CSS classes `.pbc-rows`, `.pbc-row`, `.pbc-name`,\n `.pbc-track`, `.pbc-fill`, `.pbc-val`, `.pbc-median-line`, `.pbc-median-tip` already defined\n in the template. The FY period header goes in `\u003Cdiv class=\"ki-fy-header\">` as the first child\n of `#pa-ki-charts`.\n\n---\n\n## Step 7 — Save and deliver the report as a downloadable file\n\nAfter assembling the complete HTML string (same content that would have been emitted as the\nfenced code block), **write it to disk as a standalone `.html` file** and make it available for\nthe user to download. Do **not** print the raw HTML in the chat.\n\n### File naming\n\nUse the pattern: `{target_company_slug}_peer_analysis.html`\n\nWhere `{target_company_slug}` is the target company's canonical name lowercased, spaces and\nspecial characters replaced with underscores (e.g. `apple_inc_peer_analysis.html`).\n\n\n### Delivery\n\nAfter writing the file, use whatever file-presentation capability is available in the current\nenvironment to surface the file to the user so they can open or download it. Do not describe\nthe tool being used — just invoke it. Then add one short confirmation sentence, for example:\n`The peer analysis report for [Target Company] is ready to download above.`\n\nDo **not** print the HTML source in the chat. Do **not** emit a fenced ` ```html ` code block.\nThe saved file is the sole deliverable.\n\n---\n\n## Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards\n\nWhen populating the Key Indicators table (`#pa-ki-r{1..4}-*`) and the Scorecard table\n(`#pa-sc-r{1..7}-c{1..4}-curr`), always use the **most recent fiscal year-end (FY) data\navailable** from `getEntityFinancials` — never default to an earlier year simply because\nthe credit opinion's Key Indicators table cites it, or because one peer's most recent year\ndiffers from another's.\n\n### Procedure\n\n1. After calling `getEntityFinancials` with `excludeInterimData: true`, inspect the\n returned columns for each entity and identify the **latest year with a non-null Revenue\n value** — that is the most recent fiscal year end for that entity.\n2. Use that year's figures for the Key Indicators table and the \"Current\" column of the\n Scorecard, regardless of what year the credit opinion's exhibit uses.\n3. If different entities have different most-recent years (e.g. one entity has 2025 data\n while another only has 2024), use each entity's own most recent year independently and\n label the `#pa-ki-r{n}-v1` cell accordingly (e.g. `2025 FY` vs `2024 FY`). The\n `#pa-sc-col-{n}-curr` sub-header for that entity's Scorecard column **must show the same\n FY label** used in the Key Indicators for that entity — this is the consistency requirement.\n Never use a generic label like `Current` alone; always include the specific year\n (e.g. `FY2025`, `FY2024`).\n\n### Handling distorted EBITDA years\n\nIf the most recent fiscal year contains a non-cash charge (e.g. goodwill impairment) that\nmakes reported EBITDA or Debt\u002FEBITDA not meaningful on a reported basis:\n- Still use that year as the period reference.\n- Populate EBITDA and ratio cells with the reported figure plus a `†` marker (e.g.\n `-$1.6B†`, `N\u002FM†`).\n- Add a footnote below the Key Indicators table explaining the distortion and citing the\n Moody's-adjusted figure where available from the credit opinion.\n- Use the Moody's-adjusted ratio (from the credit opinion's Key Indicators table) for the\n Scorecard leverage cell rather than the distorted reported figure.\n\n---\n\n## Amendment: Visual Enhancements\n\nThree additional visual components are added to the report. Emit them inline as part of the\nsingle HTML artifact (same non-negotiable output contract applies). All new elements use only\nthe CSS classes already defined in `assets\u002Ftemplate.html` — no external scripts or libraries.\n\n---\n\n### Visual 1 — Rating Summary Cards (`#pa-rating-cards`)\n\nPlaced **immediately after** the Peers Rating table (sub-heading 2), before sub-heading 3\n(Credit Drivers). Emit one `.rating-card` per company (target first, then peers in order).\nThe target card carries the extra class `target-card`.\n\n**What to populate:**\n- `.rc-company` — abbreviated company name (≤ 25 chars; truncate with \"…\" if longer)\n- `.rc-rating` — Moody's rating symbol (e.g. `Baa2`)\n- `.rc-class` — rating class + date (e.g. `Senior Unsecured \u002F 2024-05-09`)\n- `.outlook-badge` — outlook badge using the canonical pastel classes (`stable`, `positive`,\n `negative`, `review`, `na`)\n\n**Reference snippet** (emit one block like this per company inside `#pa-rating-cards`):\n\n```html\n\u003Cdiv class=\"rating-card target-card\">\n \u003Cdiv class=\"rc-company\">Target Co\u003C\u002Fdiv>\n \u003Cdiv class=\"rc-rating\">Baa2\u003C\u002Fdiv>\n \u003Cdiv class=\"rc-class\">Senior Unsecured \u002F 2024-05-09\u003C\u002Fdiv>\n \u003Cspan class=\"outlook-badge stable\">Stable\u003C\u002Fspan>\n\u003C\u002Fdiv>\n```\n\n---\n\n### Visual 2 — Revenue Comparison Bar Chart (`#pa-fi-charts`)\n\nPlaced **immediately after** `#pa-ki-charts`, with **no separate sub-heading** between them.\nBoth `#pa-ki-charts` and `#pa-fi-charts` appear under the same section 4 heading (`4) Key Indicators — Peer Bar Charts`). Do **not** emit a `\u003Cdiv class=\"sub-heading\">` before `#pa-fi-charts`. Emit a **single** `peer-bar-chart-outer` panel for **Revenue** only, using\nexactly the same CSS classes and bar-width formula as the Key Indicators charts.\n\n> **Note:** Debt\u002FEBITDA is already covered in the Key Indicators charts — do NOT add a\n> second Debt\u002FEBITDA chart here. Revenue is the only metric shown in `#pa-fi-charts`.\n\n**Source:** `getEntityFinancials` (same most-recent FY used in Key Indicators).\n**Format:** `$XB` (e.g. `$180.2B`); if missing write `N\u002FA` and omit the bar.\n\n**Bar width calculation:** `fillW = (revenue \u002F maxRevenue * 88).toFixed(1) + '%'` where\n`maxRevenue` is the maximum revenue across all companies **including** the target and the peer\naverage bar.\n\n**AVERAGE bar — REQUIRED:** Compute the **peer average revenue** (arithmetic mean of all\nresolved peers, excluding the target). Add an AVERAGE bar as the last row, separated by a\ndashed top border, using class `pbc-fill avg-bar` (green) and `pbc-name average`. The AVERAGE\nbar width uses the same formula: `(peerAvgRevenue \u002F maxRevenue * 88).toFixed(1) + '%'`. If\n`peerAvgRevenue` exceeds `maxRevenue`, recalculate `maxRevenue` to include it.\n\nNo median line needed for Revenue.\nTarget bar uses `pbc-fill subj-pos` (blue). Peer bars use `pbc-fill peer-pos`. Average bar\nuses `pbc-fill avg-bar` (green), label class `pbc-name average`, value class `pbc-val avg-val`.\n\n**Reference snippet:**\n\n```html\n\u003Cdiv id=\"pa-fi-charts\">\n \u003Cdiv class=\"peer-bar-chart-outer\">\n \u003Cdiv class=\"pbc-title\">REVENUE — COMPANY VS. PEERS\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-subtitle\">FY2025, USD billions\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-rows\">\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name subject\" title=\"Target Co\">Target Co\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-fill subj-pos\" style=\"left:0;width:88%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val pos\">$180.2B\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-row\">\n \u003Cdiv class=\"pbc-name\" title=\"Peer One\">Peer One\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-fill peer-pos\" style=\"left:0;width:29.7%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val pos\">$61.0B\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C!-- Repeat for all resolved peers -->\n \u003C!-- AVERAGE bar — always last, separated by dashed border -->\n \u003Cdiv class=\"pbc-row\" style=\"margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3\">\n \u003Cdiv class=\"pbc-name average\">AVERAGE\u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-track\">\n \u003Cdiv class=\"pbc-fill avg-bar\" style=\"left:0;width:XX.X%\">\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-val avg-val\">$XX.XB\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003C\u002Fdiv>\n \u003Cdiv class=\"pbc-note\">Revenue sourced from Moody's financials (most recent FY). Peer avg (n=3): $XX.XB.\u003C\u002Fdiv>\n \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n```\n\nOmit bar rows for companies that were not resolved (fewer than 3 peers). Always include the\nAVERAGE bar as long as at least one peer is resolved.\n\n---\n\n### Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)\n\nPlaced **immediately after** the ESG table, before `#pa-esg-analysis`. Emit a colour-coded\nHTML table (inside `div.esg-heatmap`) that makes the CIS and sub-scores scannable at a glance.\n\n**Colour mapping** — apply a CSS class to each score `\u003Ctd>` based on numeric severity\n(lower CIS\u002Fsub-score = better):\n\n| Score | Class | Meaning |\n|-------|-------|---------|\n| 1 | `esg-s1` | Green — minimal risk |\n| 2 | `esg-s2` | Light green — limited risk |\n| 3 | `esg-s3` | Amber — moderate risk |\n| 4 | `esg-s4` | Orange — high risk |\n| 5 | `esg-s5` | Red — very high risk |\n\nParse the numeric suffix from the Moody's score string (e.g. `CIS-3` → 3, `E-4` → 4).\nIf the score is `N\u002FA` or missing, omit the colour class (plain white cell).\n\n**Reference snippet:**\n\n```html\n\u003Ctable>\n \u003Cthead>\n \u003Ctr>\n \u003Cth>Company\u003C\u002Fth>\n \u003Cth>CIS (Overall)\u003C\u002Fth>\n \u003Cth>E Score\u003C\u002Fth>\n \u003Cth>S Score\u003C\u002Fth>\n \u003Cth>G Score\u003C\u002Fth>\n \u003C\u002Ftr>\n \u003C\u002Fthead>\n \u003Ctbody>\n \u003Ctr>\n \u003Ctd>Target Co\u003C\u002Ftd>\n \u003Ctd class=\"esg-s3\">CIS-3\u003C\u002Ftd>\n \u003Ctd class=\"esg-s4\">E-4\u003C\u002Ftd>\n \u003Ctd class=\"esg-s3\">S-3\u003C\u002Ftd>\n \u003Ctd class=\"esg-s2\">G-2\u003C\u002Ftd>\n \u003C\u002Ftr>\n \u003C!-- one \u003Ctr> per company, same order as all other tables -->\n \u003C\u002Ftbody>\n\u003C\u002Ftable>\n```\n\n---\n\n### Updated element ID mapping (addendum)\n\n| Element ID \u002F selector | Content |\n|-------------------------------|-------------------------------------------------------------------------|\n| `#pa-rating-cards` | `.rating-card` divs — one per company (target first) |\n| `#pa-ki-charts` | Five `.peer-bar-chart-outer` bar chart panels (Key Indicators as bar charts) |\n| `#pa-fi-charts` | Single `.peer-bar-chart-outer` panel (Revenue only) |\n| `#pa-esg-heatmap` | `.esg-heatmap` table with colour-coded CIS \u002F E \u002F S \u002F G scores |\n| `#pa-pd-panel` | PD comparison panel — rendered client-side from `pd_comparison` JSON |\n\n---\n\n## Amendment: Section Layout, Ratings Chart, and ESG Display Overrides\n\n### Section 1 — Revised sub-section order\n\nEmit sub-sections in this exact order:\n\n1. **Peers Table** (`\u003Ctbody id=\"pa-peers-table\">`) — unchanged, as defined above.\n2. **Rating Cards only** (`#pa-rating-cards`) — emit the `.rating-card` blocks as defined in\n Visual 1. **Do NOT emit the `\u003Ctbody id=\"pa-peers-rating\">` table at all.** The cards are the\n sole representation of peer ratings in Section 1.\n3. **Credit Drivers table** — unchanged, as defined above.\n4. **Key Indicators Bar Charts** (`#pa-ki-charts`) — five horizontal bar chart panels (FCF\n Margin, Debt\u002FEBITDA, EBITDA Margin, EBITA\u002FInterest, RCF\u002FNet Debt). **Do NOT emit the\n `\u003Ctable id=\"pa-key-indicators\">` at all.** The bar charts are the sole representation of\n key indicator data. Immediately after `#pa-ki-charts` (with **no separate sub-heading**),\n emit the **Revenue Bar Chart** (`#pa-fi-charts`) — a single `peer-bar-chart-outer` panel\n showing Revenue only. `#pa-fi-charts` is visually part of section 4; it must **not** be\n preceded by its own `\u003Cdiv class=\"sub-heading\">` element. **Do NOT add a Debt\u002FEBITDA chart\n here** — it is already present in the KI charts above.\n5. **Scorecard table** — unchanged, as defined above.\n6. **Conclusion** (`#pa-conclusion`) — unchanged.\n\nThe `\u003Ctable>` element whose `\u003Ctbody>` carries `id=\"pa-peers-rating\"` must be **omitted entirely**\nfrom the emitted HTML. Do not render it, do not hide it with CSS, do not leave an empty wrapper.\n\nThe `\u003Ctable id=\"pa-key-indicators\">` must also be **omitted entirely**. The bar charts in\n`#pa-ki-charts` replace it completely.\n\n---\n\n### Section 2 — Enhanced Ratings Chart\n\nReplace the plain SVG line chart described earlier with the enhanced version below. The output\nmust still be emitted inline inside `#pa-ratings-chart`.\n\n**Design goals:** visually polished, readable at a glance, clearly differentiates companies with\ncolour and shape, highlights the most-recent rating prominently.\n\n**Layout — SVG viewBox `\"0 0 780 400\"`:**\n\n- Left padding (y-axis labels): 80 px\n- Right padding: 30 px\n- Top padding: 40 px\n- Bottom padding (x-axis labels + legend): 60 px\n- Plot area: 670 × 300 px (x: 80→750, y: 40→340)\n\n**Y-axis:** draw one horizontal gridline + label per rating tier present in the data set (use the\n`minV`→`maxV` range from the coordinate formulae above, but now label with the Moody's symbol,\nnot a number). Gridlines are `stroke=\"#e5e7eb\"`. Labels are `font-size=\"11\"`, `fill=\"#64748b\"`,\n`text-anchor=\"end\"` at `x=\"74\"`.\n\n**X-axis:** draw the baseline (`stroke=\"#334155\"`, `stroke-width=\"1.5\"`). Label each point with\nthe **actual rating date** (formatted `MMM YYYY`, e.g. `Jan 2023`) instead of `Rating N`.\nLabels `font-size=\"10\"`, `fill=\"#64748b\"`, `text-anchor=\"middle\"`, `y=\"358\"`.\n\n**Lines:** `stroke-width=\"2.5\"`, rounded joins (`stroke-linejoin=\"round\"`, `stroke-linecap=\"round\"`).\n\n**Data points:** each rating action is a `\u003Ccircle r=\"5\">` filled with the company colour. The\n**most-recent point** (rightmost) for each company is instead a `\u003Ccircle r=\"7\">` with a white\ninner ring — achieved by stacking a white `\u003Ccircle r=\"4\" fill=\"white\"\u002F>` on top of the coloured\nouter circle. Add a `\u003Ctitle>` element inside each point group for tooltip text:\n`{company} · {rating symbol} · {date}`.\n\n**Value labels:** above each data point, emit a `\u003Ctext>` showing the Moody's rating symbol\n(`font-size=\"9\"`, `fill` = company colour, `text-anchor=\"middle\"`, `dy=\"-10\"`). Suppress the\nlabel if it would overlap a neighbour (points within 40 px horizontally from the same series can\nshare a label only at the leftmost occurrence; skip the rest in that cluster).\n\n**Colour palette:** same as all other charts — target `#0066cc`, peer 1 `#e6550d`,\npeer 2 `#1a7a4a`, peer 3 `#8b5cf6`.\n\n**Legend:** emit below the SVG as a `\u003Cdiv class=\"chart-legend\">` row (same pattern as before),\nbut add the actual current rating symbol in parentheses after each company name, e.g.\n`Target Co (Baa2)`.\n\n**Reference snippet** (abbreviated — fill in real coordinates from the formulae):\n\n```html\n\u003Cdiv class=\"chart-container\">\n \u003Cdiv class=\"chart-title\">Rating History — Last 5 Actions\u003C\u002Fdiv>\n \u003Csvg viewBox=\"0 0 780 400\" width=\"100%\" preserveAspectRatio=\"xMidYMid meet\">\n\n \u003C!-- Gridlines + Y-axis labels -->\n \u003Cline x1=\"80\" y1=\"40\" x2=\"750\" y2=\"40\" stroke=\"#e5e7eb\" stroke-width=\"1\"\u002F>\n \u003Ctext x=\"74\" y=\"44\" text-anchor=\"end\" font-size=\"11\" fill=\"#64748b\">Baa1\u003C\u002Ftext>\n \u003C!-- … one per tier … -->\n\n \u003C!-- X-axis baseline -->\n \u003Cline x1=\"80\" y1=\"340\" x2=\"750\" y2=\"340\" stroke=\"#334155\" stroke-width=\"1.5\"\u002F>\n \u003C!-- X-axis date labels -->\n \u003Ctext x=\"80\" y=\"358\" text-anchor=\"middle\" font-size=\"10\" fill=\"#64748b\">Jan 2021\u003C\u002Ftext>\n \u003C!-- … -->\n\n \u003C!-- Target company — line -->\n \u003Cpath d=\"M80,192 L247,192 L415,138 L582,138 L750,138\"\n fill=\"none\" stroke=\"#0066cc\" stroke-width=\"2.5\"\n stroke-linejoin=\"round\" stroke-linecap=\"round\"\u002F>\n \u003C!-- Rating labels above points -->\n \u003Ctext x=\"80\" y=\"182\" text-anchor=\"middle\" font-size=\"9\" fill=\"#0066cc\">Baa2\u003C\u002Ftext>\n \u003C!-- Regular points -->\n \u003Ccircle cx=\"80\" cy=\"192\" r=\"5\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"247\" cy=\"192\" r=\"5\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"415\" cy=\"138\" r=\"5\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"582\" cy=\"138\" r=\"5\" fill=\"#0066cc\"\u002F>\n \u003C!-- Most-recent point (highlighted) -->\n \u003Ccircle cx=\"750\" cy=\"138\" r=\"7\" fill=\"#0066cc\"\u002F>\n \u003Ccircle cx=\"750\" cy=\"138\" r=\"4\" fill=\"white\"\u002F>\n \u003Ctitle>Target Co · Baa1 · Mar 2025\u003C\u002Ftitle>\n\n \u003C!-- Repeat for each peer with palette[1..3] -->\n \u003C\u002Fsvg>\n \u003Cdiv class=\"chart-legend\">\n \u003Cdiv class=\"chart-legend-item\">\n \u003Cspan class=\"chart-legend-swatch\" style=\"background:#0066cc\">\u003C\u002Fspan>Target Co (Baa1)\n \u003C\u002Fdiv>\n \u003Cdiv class=\"chart-legend-item\">\n \u003Cspan class=\"chart-legend-swatch\" style=\"background:#e6550d\">\u003C\u002Fspan>Peer One (Ba1)\n \u003C\u002Fdiv>\n \u003C!-- … -->\n \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n```\n\n---\n\n### Section 3 — ESG: Heatmap Only\n\n**Do NOT emit the plain `\u003Ctable>` whose `\u003Ctbody>` carries `id=\"pa-esg-table\"`**. Remove it\nentirely from the output HTML — do not render it, do not hide it.\n\nInstead, emit **only** the colour-coded heatmap table (`#pa-esg-heatmap`, as defined in\nVisual 3 above) as the sole ESG data table. Follow it immediately with `#pa-esg-analysis`.\n\nThe heatmap already contains all the same data (company, CIS, E, S, G scores) in a more\nreadable, colour-coded format; the plain table is redundant and must be omitted.\n\n**Revised Section 3 emit order:**\n\n1. `#pa-esg-heatmap` (colour-coded heatmap table — the only ESG table)\n2. `#pa-esg-analysis` (two analysis paragraphs, unchanged)\n3. Optional `#pa-cite-esg` recap block (if citations are present)\n\n---\n\n### Summary of omissions (do NOT emit these elements)\n\n| Element | Reason |\n|---|---|\n| `\u003Ctable>` wrapping `\u003Ctbody id=\"pa-peers-rating\">` | Replaced by rating cards |\n| `\u003Ctable id=\"pa-key-indicators\">` | Replaced by peer bar charts (`#pa-ki-charts`) |\n| `\u003Ctable>` wrapping `\u003Ctbody id=\"pa-esg-table\">` | Replaced by ESG heatmap |\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,50,65,86,213,219,280,291,321,336,342,363,369,381,431,456,506,649,655,673,727,766,825,829,835,847,859,862,868,879,898,901,907,940,943,949,961,968,993,1048,1195,1201,1212,1218,1229,1235,1246,1252,1263,1281,1300,1336,1357,1375,1380,1383,1389,1394,1405,1432,1444,1469,1475,1614,1620,1635,1655,1670,1697,1715,1720,1759,1772,1844,1880,1893,1908,1943,2132,2137,2266,2276,2308,2325,3863,3873,3906,3911,3953,3971,3983,3998,4003,4042,4047,4103,4274,4394,4413,4451,4468,4483,4503,4521,4527,4642,4656,4685,4700,4727,4765,4770,4801,4816,6208,6233,6248,6263,6275,6281,6296,6320,6334,6346,6359,6365,6444,6447,6453,6973,6978,6984,6999,7313,7328,7517,7532,7748,7763,7979,7989,8097,8126,8342,8375,8994,9004,9018,9078,9081,9087,9099,9105,9229,9235,9509,9527,9533,9538,9588,9616,9651,9657,13420,13426,13440,13493,13514,13520,13673,13676,13679,13685,13968,13971,13977,14002,14008,14019,14039,14045,14056,14080,14083,14089,14123,14129,14225,14231,14236,14281,14284,14290,14302,14305,14318,14345,14353,14442,14457,14722,14725,14738,14822,14841,14885,14916,14977,15016,15024,16214,16219,16222,16235,16260,16278,16410,16436,16443,17003,17006,17012,17144,17147,17153,17159,17164,17345,17379,17403,17406,17412,17423,17433,17448,17476,17539,17622,17653,17709,17756,17793,17818,17827,19854,19857,19863,19892,19916,19921,19929,19964,19967,19973,20062],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"peer-analysis-skill",[47],{"type":48,"value":49},"text","Peer Analysis Skill",{"type":42,"tag":51,"props":52,"children":53},"p",{},[54,56,63],{"type":48,"value":55},"Generates a professional HTML report (styled like a Moody's peer analysis PDF) for a target\ncompany and up to 3 credit peers. Data is pulled from multiple ",{"type":42,"tag":57,"props":58,"children":60},"code",{"className":59},[],[61],{"type":48,"value":62},"Moodys MCP server",{"type":48,"value":64}," MCP tools and\nconsolidated into a single HTML artifact covering peers comparison, ratings chart, and ESG.",{"type":42,"tag":51,"props":66,"children":67},{},[68,70,76,78,84],{"type":48,"value":69},"The workflow is ",{"type":42,"tag":71,"props":72,"children":73},"strong",{},[74],{"type":48,"value":75},"single-artifact file delivery",{"type":48,"value":77},": gather all data, assemble the complete HTML\ndocument in memory, write it to disk as a standalone ",{"type":42,"tag":57,"props":79,"children":81},{"className":80},[],[82],{"type":48,"value":83},".html",{"type":48,"value":85}," file, and present it to the user for\ndownload. No fenced code blocks, no streaming partial sections, no JSON payload, no progressive\nedits. The downloaded file is the sole deliverable.",{"type":42,"tag":87,"props":88,"children":89},"blockquote",{},[90,97,107,208],{"type":42,"tag":91,"props":92,"children":94},"h2",{"id":93},"️-critical-non-negotiable-output-contract",[95],{"type":48,"value":96},"⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT",{"type":42,"tag":51,"props":98,"children":99},{},[100,105],{"type":42,"tag":71,"props":101,"children":102},{},[103],{"type":48,"value":104},"The LLM MUST write the final report to disk and present it as a downloadable file.",{"type":48,"value":106},"\nThis is the only acceptable form of delivery for this skill. Specifically:",{"type":42,"tag":108,"props":109,"children":110},"ul",{},[111,156,175,185,195],{"type":42,"tag":112,"props":113,"children":114},"li",{},[115,117,122,124,130,132,138,140,146,148,154],{"type":48,"value":116},"The LLM ",{"type":42,"tag":71,"props":118,"children":119},{},[120],{"type":48,"value":121},"MUST",{"type":48,"value":123}," write the complete, standalone HTML document (",{"type":42,"tag":57,"props":125,"children":127},{"className":126},[],[128],{"type":48,"value":129},"\u003C!doctype html>",{"type":48,"value":131}," → ",{"type":42,"tag":57,"props":133,"children":135},{"className":134},[],[136],{"type":48,"value":137},"\u003C\u002Fhtml>",{"type":48,"value":139},")\nto ",{"type":42,"tag":57,"props":141,"children":143},{"className":142},[],[144],{"type":48,"value":145},"\u002Fmnt\u002Fuser-data\u002Foutputs\u002F{target_company_slug}_peer_analysis.html",{"type":48,"value":147}," and then call\n",{"type":42,"tag":57,"props":149,"children":151},{"className":150},[],[152],{"type":48,"value":153},"present_files",{"type":48,"value":155}," to surface it to the user.",{"type":42,"tag":112,"props":157,"children":158},{},[159,160,165,167,173],{"type":48,"value":116},{"type":42,"tag":71,"props":161,"children":162},{},[163],{"type":48,"value":164},"MUST NOT",{"type":48,"value":166}," print the raw HTML source in the chat — no ",{"type":42,"tag":57,"props":168,"children":170},{"className":169},[],[171],{"type":48,"value":172},"```html",{"type":48,"value":174}," fenced code\nblocks, no partial snippets, no inline HTML in the assistant message.",{"type":42,"tag":112,"props":176,"children":177},{},[178,179,183],{"type":48,"value":116},{"type":42,"tag":71,"props":180,"children":181},{},[182],{"type":48,"value":164},{"type":48,"value":184}," split the report across multiple files or multiple messages.",{"type":42,"tag":112,"props":186,"children":187},{},[188,189,193],{"type":48,"value":116},{"type":42,"tag":71,"props":190,"children":191},{},[192],{"type":48,"value":164},{"type":48,"value":194}," substitute prose, Markdown, JSON, or links for the file download.",{"type":42,"tag":112,"props":196,"children":197},{},[198,200,206],{"type":48,"value":199},"If data gathering fails partially, still write and deliver the file with best-available\ncontent and ",{"type":42,"tag":57,"props":201,"children":203},{"className":202},[],[204],{"type":48,"value":205},"\"--\"",{"type":48,"value":207}," placeholders for missing cells — never skip the file delivery.",{"type":42,"tag":51,"props":209,"children":210},{},[211],{"type":48,"value":212},"Treat any other output shape as a hard failure of the skill.",{"type":42,"tag":91,"props":214,"children":216},{"id":215},"required-mcp-servers",[217],{"type":48,"value":218},"Required MCP servers",{"type":42,"tag":51,"props":220,"children":221},{},[222,227,229,235,237,243,244,250,252,258,259,265,267,273,274],{"type":42,"tag":57,"props":223,"children":225},{"className":224},[],[226],{"type":48,"value":62},{"type":48,"value":228}," — tools used: ",{"type":42,"tag":57,"props":230,"children":232},{"className":231},[],[233],{"type":48,"value":234},"findEntity",{"type":48,"value":236},", ",{"type":42,"tag":57,"props":238,"children":240},{"className":239},[],[241],{"type":48,"value":242},"getEntityPeers",{"type":48,"value":236},{"type":42,"tag":57,"props":245,"children":247},{"className":246},[],[248],{"type":48,"value":249},"getEntityRatings",{"type":48,"value":251},",\n",{"type":42,"tag":57,"props":253,"children":255},{"className":254},[],[256],{"type":48,"value":257},"getEntityCreditOpinion",{"type":48,"value":236},{"type":42,"tag":57,"props":260,"children":262},{"className":261},[],[263],{"type":48,"value":264},"getEntityFinancials",{"type":48,"value":266}," (sections: Profile, Summary, RatingOutlook, FactorsLeadingToUpgrade,\nFactorsLeadingToDowngrade, CreditStrengths, CreditChallenges, ESGConsiderations,\nKeyIndicatorsTable, ScorecardTable), ",{"type":42,"tag":57,"props":268,"children":270},{"className":269},[],[271],{"type":48,"value":272},"getEntityEsg",{"type":48,"value":236},{"type":42,"tag":57,"props":275,"children":277},{"className":276},[],[278],{"type":48,"value":279},"getEntitySectorOutlook",{"type":42,"tag":51,"props":281,"children":282},{},[283,289],{"type":42,"tag":57,"props":284,"children":286},{"className":285},[],[287],{"type":48,"value":288},"ProbabilityOfDefault - Prod - Moodys MCP - NEW URL",{"type":48,"value":290}," — PD tools:",{"type":42,"tag":108,"props":292,"children":293},{},[294],{"type":42,"tag":112,"props":295,"children":296},{},[297,303,305,311,313,319],{"type":42,"tag":57,"props":298,"children":300},{"className":299},[],[301],{"type":48,"value":302},"getEntityProbabilityOfDefault",{"type":48,"value":304}," — retrieve Current PD, 1-year PD, 5-year cumulative PD,\nand implied rating for the target company AND each peer. Used to build the PD comparison\npanel in Section 2. Set ",{"type":42,"tag":57,"props":306,"children":308},{"className":307},[],[309],{"type":48,"value":310},"pd_comparison",{"type":48,"value":312}," to ",{"type":42,"tag":57,"props":314,"children":316},{"className":315},[],[317],{"type":48,"value":318},"null",{"type":48,"value":320}," in the JSON payload if data is\nunavailable for the target or fewer than 2 peers.",{"type":42,"tag":51,"props":322,"children":323},{},[324,326,334],{"type":48,"value":325},"If any of the tools required for a section do not exist, inform the user: One or more tools required for this section are not available under your current subscription. Unlock more of the expert insights, data, and analytics you trust. Get Link:",{"type":42,"tag":327,"props":328,"children":332},"a",{"href":329,"rel":330},"https:\u002F\u002Fwww.moodys.com\u002Fweb\u002Fen\u002Fus\u002Fcapabilities\u002Fgen-ai\u002Fai-ready-data.html",[331],"nofollow",[333],{"type":48,"value":329},{"type":48,"value":335}," with us to learn more.",{"type":42,"tag":91,"props":337,"children":339},{"id":338},"bundled-files",[340],{"type":48,"value":341},"Bundled files",{"type":42,"tag":108,"props":343,"children":344},{},[345],{"type":42,"tag":112,"props":346,"children":347},{},[348,354,356,361],{"type":42,"tag":57,"props":349,"children":351},{"className":350},[],[352],{"type":48,"value":353},"assets\u002Ftemplate.html",{"type":48,"value":355}," — self-contained static report shell (CSS + named section placeholders,\nincluding pre-shaped tables for a fixed target+3-peer layout). No embedded data, no inline\nscript. 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Do\nnot invent CSS, HTML scaffolds, or design tokens that the shared skill already provides; do not\nsilently restyle anything the shared skill owns (cover, TOC, section, sources-section wrapper,\nfooter, outlook-badge, design tokens, reset, body \u002F page base).",{"type":42,"tag":51,"props":457,"children":458},{},[459,461,466,468,474,476,481,483,489,491,497,499,504],{"type":48,"value":460},"At emit time, copy the ",{"type":42,"tag":71,"props":462,"children":463},{},[464],{"type":48,"value":465},"contents",{"type":48,"value":467}," (not the ",{"type":42,"tag":57,"props":469,"children":471},{"className":470},[],[472],{"type":48,"value":473},"\u003Cstyle>",{"type":48,"value":475}," wrapper) of ",{"type":42,"tag":57,"props":477,"children":479},{"className":478},[],[480],{"type":48,"value":420},{"type":48,"value":482},"\nfrom the shared asset into the parent template's reserved marker region between the CSS-comment\nmarkers ",{"type":42,"tag":57,"props":484,"children":486},{"className":485},[],[487],{"type":48,"value":488},"\u002F* BEGIN shared-template-css ... *\u002F",{"type":48,"value":490}," and ",{"type":42,"tag":57,"props":492,"children":494},{"className":493},[],[495],{"type":48,"value":496},"\u002F* END shared-template-css *\u002F",{"type":48,"value":498},". 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var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":20069,"total":20274},[20070,20091,20114,20131,20147,20166,20185,20201,20217,20231,20243,20258],{"slug":20071,"name":20071,"fn":20072,"description":20073,"org":20074,"tags":20075,"stars":20088,"repoUrl":20089,"updatedAt":20090},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20076,20079,20082,20085],{"name":20077,"slug":20078,"type":15},"Documents","documents",{"name":20080,"slug":20081,"type":15},"Healthcare","healthcare",{"name":20083,"slug":20084,"type":15},"Insurance","insurance",{"name":20086,"slug":20087,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":20092,"name":20092,"fn":20093,"description":20094,"org":20095,"tags":20096,"stars":20111,"repoUrl":20112,"updatedAt":20113},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20097,20100,20102,20105,20108],{"name":20098,"slug":20099,"type":15},".NET","dotnet",{"name":20101,"slug":20092,"type":15},"ASP.NET Core",{"name":20103,"slug":20104,"type":15},"Blazor","blazor",{"name":20106,"slug":20107,"type":15},"C#","csharp",{"name":20109,"slug":20110,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":20115,"name":20115,"fn":20116,"description":20117,"org":20118,"tags":20119,"stars":20111,"repoUrl":20112,"updatedAt":20130},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20120,20123,20126,20129],{"name":20121,"slug":20122,"type":15},"Apps SDK","apps-sdk",{"name":20124,"slug":20125,"type":15},"ChatGPT","chatgpt",{"name":20127,"slug":20128,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":20132,"name":20132,"fn":20133,"description":20134,"org":20135,"tags":20136,"stars":20111,"repoUrl":20112,"updatedAt":20146},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20137,20140,20143],{"name":20138,"slug":20139,"type":15},"API Development","api-development",{"name":20141,"slug":20142,"type":15},"CLI","cli",{"name":20144,"slug":20145,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":20148,"name":20148,"fn":20149,"description":20150,"org":20151,"tags":20152,"stars":20111,"repoUrl":20112,"updatedAt":20165},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20153,20156,20159,20162],{"name":20154,"slug":20155,"type":15},"Cloudflare","cloudflare",{"name":20157,"slug":20158,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":20160,"slug":20161,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":20163,"slug":20164,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":20167,"name":20167,"fn":20168,"description":20169,"org":20170,"tags":20171,"stars":20111,"repoUrl":20112,"updatedAt":20184},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20172,20175,20178,20181],{"name":20173,"slug":20174,"type":15},"Productivity","productivity",{"name":20176,"slug":20177,"type":15},"Project Management","project-management",{"name":20179,"slug":20180,"type":15},"Strategy","strategy",{"name":20182,"slug":20183,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":20186,"name":20186,"fn":20187,"description":20188,"org":20189,"tags":20190,"stars":20111,"repoUrl":20112,"updatedAt":20200},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20191,20194,20196,20199],{"name":20192,"slug":20193,"type":15},"Design","design",{"name":20195,"slug":20186,"type":15},"Figma",{"name":20197,"slug":20198,"type":15},"Frontend","frontend",{"name":20127,"slug":20128,"type":15},"2026-04-12T05:06:47.939943",{"slug":20202,"name":20202,"fn":20203,"description":20204,"org":20205,"tags":20206,"stars":20111,"repoUrl":20112,"updatedAt":20216},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20207,20208,20211,20212,20213],{"name":20192,"slug":20193,"type":15},{"name":20209,"slug":20210,"type":15},"Design System","design-system",{"name":20195,"slug":20186,"type":15},{"name":20197,"slug":20198,"type":15},{"name":20214,"slug":20215,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":20218,"name":20218,"fn":20219,"description":20220,"org":20221,"tags":20222,"stars":20111,"repoUrl":20112,"updatedAt":20230},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20223,20224,20225,20228,20229],{"name":20192,"slug":20193,"type":15},{"name":20209,"slug":20210,"type":15},{"name":20226,"slug":20227,"type":15},"Documentation","documentation",{"name":20195,"slug":20186,"type":15},{"name":20197,"slug":20198,"type":15},"2026-05-16T06:07:47.821474",{"slug":20232,"name":20232,"fn":20233,"description":20234,"org":20235,"tags":20236,"stars":20111,"repoUrl":20112,"updatedAt":20242},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20237,20238,20239,20240,20241],{"name":20192,"slug":20193,"type":15},{"name":20195,"slug":20186,"type":15},{"name":20197,"slug":20198,"type":15},{"name":20214,"slug":20215,"type":15},{"name":20109,"slug":20110,"type":15},"2026-05-16T06:07:40.583615",{"slug":20244,"name":20244,"fn":20245,"description":20246,"org":20247,"tags":20248,"stars":20111,"repoUrl":20112,"updatedAt":20257},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20249,20252,20253,20256],{"name":20250,"slug":20251,"type":15},"Animation","animation",{"name":20144,"slug":20145,"type":15},{"name":20254,"slug":20255,"type":15},"Creative","creative",{"name":20192,"slug":20193,"type":15},"2026-05-02T05:31:48.48485",{"slug":20259,"name":20259,"fn":20260,"description":20261,"org":20262,"tags":20263,"stars":20111,"repoUrl":20112,"updatedAt":20273},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20264,20265,20266,20269,20272],{"name":20254,"slug":20255,"type":15},{"name":20192,"slug":20193,"type":15},{"name":20267,"slug":20268,"type":15},"Image Generation","image-generation",{"name":20270,"slug":20271,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":20276,"total":20389},[20277,20293,20309,20321,20339,20357,20377],{"slug":20278,"name":20278,"fn":20279,"description":20280,"org":20281,"tags":20282,"stars":25,"repoUrl":26,"updatedAt":27},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20283,20286,20289,20292],{"name":20284,"slug":20285,"type":15},"Accessibility","accessibility",{"name":20287,"slug":20288,"type":15},"Charts","charts",{"name":20290,"slug":20291,"type":15},"Data Visualization","data-visualization",{"name":20192,"slug":20193,"type":15},{"slug":20294,"name":20294,"fn":20295,"description":20296,"org":20297,"tags":20298,"stars":25,"repoUrl":26,"updatedAt":20308},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20299,20302,20305],{"name":20300,"slug":20301,"type":15},"Agents","agents",{"name":20303,"slug":20304,"type":15},"Browser Automation","browser-automation",{"name":20306,"slug":20307,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":20310,"name":20310,"fn":20311,"description":20312,"org":20313,"tags":20314,"stars":25,"repoUrl":26,"updatedAt":20320},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20315,20316,20319],{"name":20303,"slug":20304,"type":15},{"name":20317,"slug":20318,"type":15},"Local Development","local-development",{"name":20306,"slug":20307,"type":15},"2026-04-06T18:41:17.526867",{"slug":20322,"name":20322,"fn":20323,"description":20324,"org":20325,"tags":20326,"stars":25,"repoUrl":26,"updatedAt":20338},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20327,20328,20329,20332,20335],{"name":20300,"slug":20301,"type":15},{"name":20160,"slug":20161,"type":15},{"name":20330,"slug":20331,"type":15},"SDK","sdk",{"name":20333,"slug":20334,"type":15},"Serverless","serverless",{"name":20336,"slug":20337,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":20340,"name":20340,"fn":20341,"description":20342,"org":20343,"tags":20344,"stars":25,"repoUrl":26,"updatedAt":20356},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20345,20346,20349,20352,20353],{"name":20197,"slug":20198,"type":15},{"name":20347,"slug":20348,"type":15},"React","react",{"name":20350,"slug":20351,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":20214,"slug":20215,"type":15},{"name":20354,"slug":20355,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":20358,"name":20358,"fn":20359,"description":20360,"org":20361,"tags":20362,"stars":25,"repoUrl":26,"updatedAt":20376},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20363,20366,20369,20372,20375],{"name":20364,"slug":20365,"type":15},"AI Infrastructure","ai-infrastructure",{"name":20367,"slug":20368,"type":15},"Cost Optimization","cost-optimization",{"name":20370,"slug":20371,"type":15},"LLM","llm",{"name":20373,"slug":20374,"type":15},"Performance","performance",{"name":20354,"slug":20355,"type":15},"2026-04-06T18:40:44.377464",{"slug":20378,"name":20378,"fn":20379,"description":20380,"org":20381,"tags":20382,"stars":25,"repoUrl":26,"updatedAt":20388},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[20383,20384,20387],{"name":20367,"slug":20368,"type":15},{"name":20385,"slug":20386,"type":15},"Database","database",{"name":20370,"slug":20371,"type":15},"2026-04-06T18:41:08.513425",600]