[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-company-tearsheet":3,"mdc--mc4l7i-key":33,"related-org-openai-company-tearsheet":1093,"related-repo-openai-company-tearsheet":1300},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"company-tearsheet","create public issuer tearsheets","Use when creating source-backed public issuer tearsheets. Do not use for private diligence, fund diligence, vendors, or market maps.",{"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],{"name":13,"slug":14,"type":15},"Reporting","reporting","tag",{"name":17,"slug":18,"type":15},"Finance","finance",{"name":20,"slug":21,"type":15},"Equity Research","equity-research",4888,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-08-28T15:09:16.763487",null,661,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fpublic-equity-investing\u002Fskills\u002Fcompany-tearsheet","---\nname: company-tearsheet\ndescription: Use when creating source-backed public issuer tearsheets. Do not use for private diligence, fund diligence, vendors, or market maps.\n---\n\n# Company Tearsheet\n\n## Skill Configuration\n\n### Common Skill Instructions\n\nMANDATORY: Before searching connectors, retrieving evidence, or drafting output, read and apply the shared runtime contract in `..\u002Fpublic-equity-investing\u002FSKILL.md## Cross-Skill Runtime Contract`. Then check the router skill map and `..\u002F..\u002Fshared\u002Fplugin-routing-playbook.md` for adjacent skills that should be sequenced with this workflow. Do not run user-context setup or inspection during ordinary workflow work; route only explicit saved-context, source-setup, onboarding, or automation-setup requests to `..\u002Fuser-context\u002FSKILL.md`.\n\n### Source Resolution\n\nLoad `..\u002F..\u002Fshared\u002Fworkflow-source-resolution.md`. Resolve only the catalogued source categories needed for the current tearsheet. Prefer a user-named source first, then one available app, connector, file, export, or pasted input that satisfies the category. Attempt the smallest useful native read only when the workflow needs that source. If a route needs auth, connection, or setup, state the practical limitation and continue from prompt context, active artifacts, pasted or exported material, and public sources when the tearsheet can still be useful. Do not inspect unrelated source categories, run broad source setup, write connector readiness, or create, read, migrate, or update `category-state.json`.\n\nThe runtime source categories below cover the catalogued Public Equity Investing sources. Use `references\u002Fsource-and-evidence.md` for the broader evidence hierarchy and freshness rules.\n\n### Workflow Sources\n\nWhen this skill uses a source category, use it for the following information. These are semantic source categories, not fixed connector names.\n\n- `company_filings_ir`: filings, IR materials, reported financials, and issuer disclosures needed for the factual baseline.\n- `earnings_transcripts_presentations`: transcripts, presentations, events, and recent management commentary when they materially change the issuer read.\n- `internal_research`: internal notes, expert context, prior research, and team discussions when they materially improve the baseline.\n- `portfolio_models_trackers`: portfolio context, watchlists, models, and thesis trackers only when they materially change the investor lens or downstream route.\n- `market_data_estimates`: market data, consensus, estimates, ownership, positioning, and provider exports needed for valuation context and freshness checks.\n\n## Relevant Dependency Categories\n\nThese are the source categories most likely to matter for this workflow. Use the router contract to resolve only the categories the task actually needs, prefer user-named sources first, and state any material source limitation.\n\n- `Market Data & Estimates`\n- `Company Filings & IR`\n\n## Deliverable Intake\n\nBefore source gathering or analysis for a new substantive hero deliverable, load `..\u002F..\u002Fshared\u002Fdeliverable-intake-policy.md` and use its adaptive `request_user_input` preflight for materially unresolved format, depth, audience\u002Fuse, or focus choices. When the user explicitly requests HTML for a tearsheet, that resolves the presentation surface to a polished standalone HTML tearsheet; ask only remaining material choices and do not treat HTML as a request for a standardized dashboard. Reuse resolved preferences in downstream steps; when acting only as input to an owning workflow, do not re-prompt.\n\n## Purpose\n\nCreate a source-backed baseline profile for a public issuer so downstream Public Equity Investing workflows start from the same factual view. The default artifact is an issuer baseline by design, not a memo, model, pitch, or recommendation.\n\nUse this before or inside comps, DCF, 3-statement, earnings, model update, long\u002Fshort pitch, memo, meeting-prep, thesis tracker, risk\u002Fsizing, hedge, event, catalyst, equity-risk credit-signal, and deck\u002Freport workflows when a fast public profile is needed.\n\nUse chat for quick issuer baselines. When the user explicitly requests HTML or selects HTML during intake, produce a compact polished standalone HTML tearsheet following `..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md`; let the issuer's business model and requested review lens determine the hierarchy. If the work expands into detailed thesis construction, scenarios, underwriting, or a full investment view, route the baseline into `initiating-coverage`, `memo-builder`, or the relevant owning workflow. Use `dashboard-builder` only when the user explicitly asks for a standardized dashboard, reusable dashboard template, or structured payload-driven render.\n\n## Do Not Use\n\n- Private company, sponsor-owned asset, private fund, LP\u002FGP diligence target, vendor, customer, or commercial counterparty.\n- Fund\u002Fasset-manager diligence profiles.\n- Market maps, buyer lists, private-company sourcing screens, or diligence workplans.\n- Full memos, valuation models, trade pitches, or investment recommendations.\n- Do not compress a broader investment, earnings, comps, credit, or pitch request into a tearsheet; route to the owning full-analysis skill.\n\n## Non-Negotiables\n\n- Preserve source materials and user work.\n- Prefer user-provided context\u002Ffiles, callable runtime apps\u002Fconnectors when actually available, primary sources, user-provided provider exports, credible secondary sources, then labeled assumptions.\n- Use `financial-source-of-truth` for source hierarchy, stale-data checks, citations, conflicts, and fact\u002Fassumption discipline.\n- Use `financials-normalizer` or `excel-data-cleaner` first when source financials\u002Ftables are messy.\n- Never invent missing facts, metrics, ratings, debt, valuation, ownership, customers, or KPIs.\n- Label facts, calculations, estimates, management claims, user adjustments, assumptions, missing fields, and confidence.\n- In a reader-facing artifact, translate internal evidence labels into plain investor language such as `Reported`, `Company-defined`, `Derived`, or `Not yet sourced`; retain exact evidence labels only in support data or when specifically requested.\n\n## Workflow\n\n1. **Classify profile.** Choose `public_company`, `equity_issuer_profile`, or `public_sector_peer`; identify downstream use case.\n2. **Build source inventory.** Track `source_id`, source name\u002Ftype, owner\u002Fprovider, as-of date, retrieved-at date, period, location, freshness, and notes.\n3. **Extract profile-critical facts.** Use only source-supported business, segment, geography, leadership, metrics, valuation, capital structure, KPI, recent event, risk, and evidence-gap fields relevant to the use case.\n4. **Label evidence and confidence.** Use labels from `references\u002Fsource-and-evidence.md` and confidence values `high`, `medium`, or `low`.\n5. **Compose tearsheet.** For an HTML tearsheet, build a compact issuer baseline with an investor read, four or five decision-useful metrics, core business and earnings drivers, valuation context, concise catalysts\u002Frisks, material evidence gaps, source notes, and recommended next analytical route.\n6. **Keep scope at baseline.** Do not allow a live event, long missing-data register, extensive diligence questions, or scenario work to overwhelm the issuer baseline. Escalate to an owning full-analysis workflow when that additional work becomes central.\n7. **Run QC.** Confirm identity, periods, units, currency, sources, confidence, stale\u002Fconflicting data, derived-calculation support, and reader-facing legibility.\n\n## Deterministic Helpers\n\n```bash\npython scripts\u002Fvalidate_tearsheet_json.py path\u002Fto\u002Ftearsheet.json\npython scripts\u002Fbuild_tearsheet_markdown.py path\u002Fto\u002Ftearsheet.json output.md\n```\n\nThe helpers validate\u002Frender structured inputs. They do not fetch data or replace source review. Raw JSON and generated Markdown are support or renderer-input artifacts unless the user explicitly asks for those formats.\n\nFor standardized dashboard handoffs only, use `references\u002FDASHBOARD_PACK.md`. `company-tearsheet` owns the issuer baseline and source confidence; `dashboard-builder` owns the shared shell\u002Frendering\u002FQA. Build a `public_equity_investing_dashboard.v1` payload as an internal renderer input, and keep JSON\u002FMarkdown support files behind the HTML artifact unless explicitly requested.\n\n## When To Invoke Support\n\nLoad `shared\u002Fsupport-layer-routing-contract.md` when support services are needed. Use `financial-source-of-truth` for source hierarchy, stale data, conflicts, and fact\u002Fassumption labels; use `financials-normalizer` or `excel-data-cleaner` before using messy financials, ownership tables, market\u002Fsecurity data, or KPI exports. Support artifacts stay secondary to the tearsheet, dashboard\u002Freport, or downstream owning workflow.\n\n## Output Contract\n\nUser-facing response:\n\n1. Tearsheet created: entity, profile type, scope, sources, as-of date.\n2. Key takeaways: 3-5 bullets with estimates\u002Fassumptions marked.\n3. Metric table: decision-useful metrics with period, units, source, confidence.\n4. Risks\u002Fgaps: stale data, conflicts, missing facts, evidence flags.\n5. Recommended next step or downstream handoff.\n\nFor a standalone HTML tearsheet, keep the first-read structure compact:\n\n1. Investor read and four or five high-signal metrics.\n2. Earnings-driver table or compact driver cards.\n3. Use the visible heading `Valuation Context` or `Trailing Valuation Snapshot` when only historical or derived multiples are supported. Do not include `Debate` in the heading unless forward estimates, peer comparisons, target-price evidence, or explicit market expectations are sourced.\n4. Concise catalyst-and-risk matrix.\n5. Material evidence gaps, source ledger, and next analytical route.\n\nDo not expand the tearsheet into a full initiation report, long diligence-question set, scenario package, or recommendation merely because HTML space is available.\n\n## HTML Guidance\n\nWhen HTML is requested or selected, load `..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md` and apply these workflow-specific rules:\n\n- Lead with the factual investor read and the core earnings-driver question; the issuer baseline and earnings drivers are the primary objects.\n- Prefer four or five distinct metric tiles, one earnings-driver comparison object, one compact valuation-context object, and one catalyst\u002Frisk object over repeated dashboard panels.\n- When a current transaction, rumor, regulatory item, or other live event is material but not the requested focus, feature it in the investor read and catalyst\u002Frisk section and identify missing primary evidence in the evidence-gaps block. Do not thread it through earnings drivers, valuation, and multiple summary panels unless it directly changes those analyses.\n- Keep missing ownership, positioning, factor, or consensus fields visible through a compact evidence-gaps block; do not render a long table of unsourced fields unless those fields are the requested diligence focus.\n- Render visible evidence posture in plain language rather than internal labels such as `fact_source_reported` or `missing_required_source`.\n- Keep citations traceable but readable: do not fragment tickers, years, dates, numeric ranges, metric names, or product labels into separately linked tokens.\n- Visually inspect local HTML via local headless-browser screenshots, not the in-app Browser plugin, and iterate on hierarchy, density, clipping, citation rendering, and whitespace before delivery.\n\n## Reference Map\n\n- `references\u002Fsource-and-evidence.md`: source hierarchy, citations, stale-data, labels, conflicts.\n- `references\u002Fprofile-templates.md`: one-page and profile-specific templates.\n- `references\u002Fmetric-library.md`: metric categories, `sector-context-overlay` guidance, KPI guidance.\n- `references\u002Fquality-checks.md`: profile QC checks.\n- `references\u002Fintegration-guide.md`: Public Equity Investing handoffs.\n\n## Public Equity PM Judgment Layer\n\nFor substantial tearsheets, load `shared\u002Fpm-judgment-heuristics.md` before finalizing. Audience modes: `long_only_pm`, `long_short_hf`, `sell_side_research`, `etf_index_diligence`, `public_equity_diligence`.\n\nUse-case modes: `long_only_baseline`, `hf_baseline`, `sell_side_coverage_starter`, `etf_index_constituent_profile`, `public_diligence_baseline`.\n\nRequired PM judgment:\n- Keep the tearsheet factual, but make the next analytical route obvious.\n- Include investor-useful fields when available: market cap, enterprise value, float, ADV\u002Fliquidity, index membership, ETF\u002Fpassive ownership and flow relevance, top holders, short interest, borrow\u002Fcrowding, factor exposure, ownership concentration, governance, capital allocation, sell-side coverage, consensus setup, balance-sheet risk, and key operating KPIs.\n- Always identify unavailable or stale ownership, positioning, borrow, liquidity, factor, and consensus fields with an as-of\u002Fsource requirement rather than silently omitting them. In reader-facing HTML, consolidate non-central missing fields into a compact evidence-gaps block instead of displaying a long low-information register.\n- Do not turn a tearsheet into a recommendation; route investment decisions to initiating coverage, memo-builder, long-short-pitch, or thesis-tracker.\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,46,53,60,91,97,117,130,136,141,201,207,212,233,239,260,266,271,276,313,319,347,353,444,450,583,589,646,651,686,692,724,730,735,763,768,819,824,830,842,894,900,965,971,1019,1059,1064,1087],{"type":39,"tag":40,"props":41,"children":42},"element","h1",{"id":4},[43],{"type":44,"value":45},"text","Company Tearsheet",{"type":39,"tag":47,"props":48,"children":50},"h2",{"id":49},"skill-configuration",[51],{"type":44,"value":52},"Skill Configuration",{"type":39,"tag":54,"props":55,"children":57},"h3",{"id":56},"common-skill-instructions",[58],{"type":44,"value":59},"Common Skill Instructions",{"type":39,"tag":61,"props":62,"children":63},"p",{},[64,66,73,75,81,83,89],{"type":44,"value":65},"MANDATORY: Before searching connectors, retrieving evidence, or drafting output, read and apply the shared runtime contract in ",{"type":39,"tag":67,"props":68,"children":70},"code",{"className":69},[],[71],{"type":44,"value":72},"..\u002Fpublic-equity-investing\u002FSKILL.md## Cross-Skill Runtime Contract",{"type":44,"value":74},". Then check the router skill map and ",{"type":39,"tag":67,"props":76,"children":78},{"className":77},[],[79],{"type":44,"value":80},"..\u002F..\u002Fshared\u002Fplugin-routing-playbook.md",{"type":44,"value":82}," for adjacent skills that should be sequenced with this workflow. Do not run user-context setup or inspection during ordinary workflow work; route only explicit saved-context, source-setup, onboarding, or automation-setup requests to ",{"type":39,"tag":67,"props":84,"children":86},{"className":85},[],[87],{"type":44,"value":88},"..\u002Fuser-context\u002FSKILL.md",{"type":44,"value":90},".",{"type":39,"tag":54,"props":92,"children":94},{"id":93},"source-resolution",[95],{"type":44,"value":96},"Source Resolution",{"type":39,"tag":61,"props":98,"children":99},{},[100,102,108,110,116],{"type":44,"value":101},"Load ",{"type":39,"tag":67,"props":103,"children":105},{"className":104},[],[106],{"type":44,"value":107},"..\u002F..\u002Fshared\u002Fworkflow-source-resolution.md",{"type":44,"value":109},". Resolve only the catalogued source categories needed for the current tearsheet. Prefer a user-named source first, then one available app, connector, file, export, or pasted input that satisfies the category. Attempt the smallest useful native read only when the workflow needs that source. If a route needs auth, connection, or setup, state the practical limitation and continue from prompt context, active artifacts, pasted or exported material, and public sources when the tearsheet can still be useful. Do not inspect unrelated source categories, run broad source setup, write connector readiness, or create, read, migrate, or update ",{"type":39,"tag":67,"props":111,"children":113},{"className":112},[],[114],{"type":44,"value":115},"category-state.json",{"type":44,"value":90},{"type":39,"tag":61,"props":118,"children":119},{},[120,122,128],{"type":44,"value":121},"The runtime source categories below cover the catalogued Public Equity Investing sources. Use ",{"type":39,"tag":67,"props":123,"children":125},{"className":124},[],[126],{"type":44,"value":127},"references\u002Fsource-and-evidence.md",{"type":44,"value":129}," for the broader evidence hierarchy and freshness rules.",{"type":39,"tag":54,"props":131,"children":133},{"id":132},"workflow-sources",[134],{"type":44,"value":135},"Workflow Sources",{"type":39,"tag":61,"props":137,"children":138},{},[139],{"type":44,"value":140},"When this skill uses a source category, use it for the following information. These are semantic source categories, not fixed connector names.",{"type":39,"tag":142,"props":143,"children":144},"ul",{},[145,157,168,179,190],{"type":39,"tag":146,"props":147,"children":148},"li",{},[149,155],{"type":39,"tag":67,"props":150,"children":152},{"className":151},[],[153],{"type":44,"value":154},"company_filings_ir",{"type":44,"value":156},": filings, IR materials, reported financials, and issuer disclosures needed for the factual baseline.",{"type":39,"tag":146,"props":158,"children":159},{},[160,166],{"type":39,"tag":67,"props":161,"children":163},{"className":162},[],[164],{"type":44,"value":165},"earnings_transcripts_presentations",{"type":44,"value":167},": transcripts, presentations, events, and recent management commentary when they materially change the issuer read.",{"type":39,"tag":146,"props":169,"children":170},{},[171,177],{"type":39,"tag":67,"props":172,"children":174},{"className":173},[],[175],{"type":44,"value":176},"internal_research",{"type":44,"value":178},": internal notes, expert context, prior research, and team discussions when they materially improve the baseline.",{"type":39,"tag":146,"props":180,"children":181},{},[182,188],{"type":39,"tag":67,"props":183,"children":185},{"className":184},[],[186],{"type":44,"value":187},"portfolio_models_trackers",{"type":44,"value":189},": portfolio context, watchlists, models, and thesis trackers only when they materially change the investor lens or downstream route.",{"type":39,"tag":146,"props":191,"children":192},{},[193,199],{"type":39,"tag":67,"props":194,"children":196},{"className":195},[],[197],{"type":44,"value":198},"market_data_estimates",{"type":44,"value":200},": market data, consensus, estimates, ownership, positioning, and provider exports needed for valuation context and freshness checks.",{"type":39,"tag":47,"props":202,"children":204},{"id":203},"relevant-dependency-categories",[205],{"type":44,"value":206},"Relevant Dependency Categories",{"type":39,"tag":61,"props":208,"children":209},{},[210],{"type":44,"value":211},"These are the source categories most likely to matter for this workflow. Use the router contract to resolve only the categories the task actually needs, prefer user-named sources first, and state any material source limitation.",{"type":39,"tag":142,"props":213,"children":214},{},[215,224],{"type":39,"tag":146,"props":216,"children":217},{},[218],{"type":39,"tag":67,"props":219,"children":221},{"className":220},[],[222],{"type":44,"value":223},"Market Data & Estimates",{"type":39,"tag":146,"props":225,"children":226},{},[227],{"type":39,"tag":67,"props":228,"children":230},{"className":229},[],[231],{"type":44,"value":232},"Company Filings & IR",{"type":39,"tag":47,"props":234,"children":236},{"id":235},"deliverable-intake",[237],{"type":44,"value":238},"Deliverable Intake",{"type":39,"tag":61,"props":240,"children":241},{},[242,244,250,252,258],{"type":44,"value":243},"Before source gathering or analysis for a new substantive hero deliverable, load ",{"type":39,"tag":67,"props":245,"children":247},{"className":246},[],[248],{"type":44,"value":249},"..\u002F..\u002Fshared\u002Fdeliverable-intake-policy.md",{"type":44,"value":251}," and use its adaptive ",{"type":39,"tag":67,"props":253,"children":255},{"className":254},[],[256],{"type":44,"value":257},"request_user_input",{"type":44,"value":259}," preflight for materially unresolved format, depth, audience\u002Fuse, or focus choices. When the user explicitly requests HTML for a tearsheet, that resolves the presentation surface to a polished standalone HTML tearsheet; ask only remaining material choices and do not treat HTML as a request for a standardized dashboard. Reuse resolved preferences in downstream steps; when acting only as input to an owning workflow, do not re-prompt.",{"type":39,"tag":47,"props":261,"children":263},{"id":262},"purpose",[264],{"type":44,"value":265},"Purpose",{"type":39,"tag":61,"props":267,"children":268},{},[269],{"type":44,"value":270},"Create a source-backed baseline profile for a public issuer so downstream Public Equity Investing workflows start from the same factual view. The default artifact is an issuer baseline by design, not a memo, model, pitch, or recommendation.",{"type":39,"tag":61,"props":272,"children":273},{},[274],{"type":44,"value":275},"Use this before or inside comps, DCF, 3-statement, earnings, model update, long\u002Fshort pitch, memo, meeting-prep, thesis tracker, risk\u002Fsizing, hedge, event, catalyst, equity-risk credit-signal, and deck\u002Freport workflows when a fast public profile is needed.",{"type":39,"tag":61,"props":277,"children":278},{},[279,281,287,289,295,297,303,305,311],{"type":44,"value":280},"Use chat for quick issuer baselines. When the user explicitly requests HTML or selects HTML during intake, produce a compact polished standalone HTML tearsheet following ",{"type":39,"tag":67,"props":282,"children":284},{"className":283},[],[285],{"type":44,"value":286},"..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md",{"type":44,"value":288},"; let the issuer's business model and requested review lens determine the hierarchy. If the work expands into detailed thesis construction, scenarios, underwriting, or a full investment view, route the baseline into ",{"type":39,"tag":67,"props":290,"children":292},{"className":291},[],[293],{"type":44,"value":294},"initiating-coverage",{"type":44,"value":296},", ",{"type":39,"tag":67,"props":298,"children":300},{"className":299},[],[301],{"type":44,"value":302},"memo-builder",{"type":44,"value":304},", or the relevant owning workflow. Use ",{"type":39,"tag":67,"props":306,"children":308},{"className":307},[],[309],{"type":44,"value":310},"dashboard-builder",{"type":44,"value":312}," only when the user explicitly asks for a standardized dashboard, reusable dashboard template, or structured payload-driven render.",{"type":39,"tag":47,"props":314,"children":316},{"id":315},"do-not-use",[317],{"type":44,"value":318},"Do Not Use",{"type":39,"tag":142,"props":320,"children":321},{},[322,327,332,337,342],{"type":39,"tag":146,"props":323,"children":324},{},[325],{"type":44,"value":326},"Private company, sponsor-owned asset, private fund, LP\u002FGP diligence target, vendor, customer, or commercial counterparty.",{"type":39,"tag":146,"props":328,"children":329},{},[330],{"type":44,"value":331},"Fund\u002Fasset-manager diligence profiles.",{"type":39,"tag":146,"props":333,"children":334},{},[335],{"type":44,"value":336},"Market maps, buyer lists, private-company sourcing screens, or diligence workplans.",{"type":39,"tag":146,"props":338,"children":339},{},[340],{"type":44,"value":341},"Full memos, valuation models, trade pitches, or investment recommendations.",{"type":39,"tag":146,"props":343,"children":344},{},[345],{"type":44,"value":346},"Do not compress a broader investment, earnings, comps, credit, or pitch request into a tearsheet; route to the owning full-analysis skill.",{"type":39,"tag":47,"props":348,"children":350},{"id":349},"non-negotiables",[351],{"type":44,"value":352},"Non-Negotiables",{"type":39,"tag":142,"props":354,"children":355},{},[356,361,366,379,399,404,409],{"type":39,"tag":146,"props":357,"children":358},{},[359],{"type":44,"value":360},"Preserve source materials and user work.",{"type":39,"tag":146,"props":362,"children":363},{},[364],{"type":44,"value":365},"Prefer user-provided context\u002Ffiles, callable runtime apps\u002Fconnectors when actually available, primary sources, user-provided provider exports, credible secondary sources, then labeled assumptions.",{"type":39,"tag":146,"props":367,"children":368},{},[369,371,377],{"type":44,"value":370},"Use ",{"type":39,"tag":67,"props":372,"children":374},{"className":373},[],[375],{"type":44,"value":376},"financial-source-of-truth",{"type":44,"value":378}," for source hierarchy, stale-data checks, citations, conflicts, and fact\u002Fassumption discipline.",{"type":39,"tag":146,"props":380,"children":381},{},[382,383,389,391,397],{"type":44,"value":370},{"type":39,"tag":67,"props":384,"children":386},{"className":385},[],[387],{"type":44,"value":388},"financials-normalizer",{"type":44,"value":390}," or ",{"type":39,"tag":67,"props":392,"children":394},{"className":393},[],[395],{"type":44,"value":396},"excel-data-cleaner",{"type":44,"value":398}," first when source financials\u002Ftables are messy.",{"type":39,"tag":146,"props":400,"children":401},{},[402],{"type":44,"value":403},"Never invent missing facts, metrics, ratings, debt, valuation, ownership, customers, or KPIs.",{"type":39,"tag":146,"props":405,"children":406},{},[407],{"type":44,"value":408},"Label facts, calculations, estimates, management claims, user adjustments, assumptions, missing fields, and confidence.",{"type":39,"tag":146,"props":410,"children":411},{},[412,414,420,421,427,428,434,436,442],{"type":44,"value":413},"In a reader-facing artifact, translate internal evidence labels into plain investor language such as ",{"type":39,"tag":67,"props":415,"children":417},{"className":416},[],[418],{"type":44,"value":419},"Reported",{"type":44,"value":296},{"type":39,"tag":67,"props":422,"children":424},{"className":423},[],[425],{"type":44,"value":426},"Company-defined",{"type":44,"value":296},{"type":39,"tag":67,"props":429,"children":431},{"className":430},[],[432],{"type":44,"value":433},"Derived",{"type":44,"value":435},", or ",{"type":39,"tag":67,"props":437,"children":439},{"className":438},[],[440],{"type":44,"value":441},"Not yet sourced",{"type":44,"value":443},"; retain exact evidence labels only in support data or when specifically requested.",{"type":39,"tag":47,"props":445,"children":447},{"id":446},"workflow",[448],{"type":44,"value":449},"Workflow",{"type":39,"tag":451,"props":452,"children":453},"ol",{},[454,487,505,515,553,563,573],{"type":39,"tag":146,"props":455,"children":456},{},[457,463,465,471,472,478,479,485],{"type":39,"tag":458,"props":459,"children":460},"strong",{},[461],{"type":44,"value":462},"Classify profile.",{"type":44,"value":464}," Choose ",{"type":39,"tag":67,"props":466,"children":468},{"className":467},[],[469],{"type":44,"value":470},"public_company",{"type":44,"value":296},{"type":39,"tag":67,"props":473,"children":475},{"className":474},[],[476],{"type":44,"value":477},"equity_issuer_profile",{"type":44,"value":435},{"type":39,"tag":67,"props":480,"children":482},{"className":481},[],[483],{"type":44,"value":484},"public_sector_peer",{"type":44,"value":486},"; identify downstream use case.",{"type":39,"tag":146,"props":488,"children":489},{},[490,495,497,503],{"type":39,"tag":458,"props":491,"children":492},{},[493],{"type":44,"value":494},"Build source inventory.",{"type":44,"value":496}," Track ",{"type":39,"tag":67,"props":498,"children":500},{"className":499},[],[501],{"type":44,"value":502},"source_id",{"type":44,"value":504},", source name\u002Ftype, owner\u002Fprovider, as-of date, retrieved-at date, period, location, freshness, and notes.",{"type":39,"tag":146,"props":506,"children":507},{},[508,513],{"type":39,"tag":458,"props":509,"children":510},{},[511],{"type":44,"value":512},"Extract profile-critical facts.",{"type":44,"value":514}," Use only source-supported business, segment, geography, leadership, metrics, valuation, capital structure, KPI, recent event, risk, and evidence-gap fields relevant to the use case.",{"type":39,"tag":146,"props":516,"children":517},{},[518,523,525,530,532,538,539,545,546,552],{"type":39,"tag":458,"props":519,"children":520},{},[521],{"type":44,"value":522},"Label evidence and confidence.",{"type":44,"value":524}," Use labels from ",{"type":39,"tag":67,"props":526,"children":528},{"className":527},[],[529],{"type":44,"value":127},{"type":44,"value":531}," and confidence values ",{"type":39,"tag":67,"props":533,"children":535},{"className":534},[],[536],{"type":44,"value":537},"high",{"type":44,"value":296},{"type":39,"tag":67,"props":540,"children":542},{"className":541},[],[543],{"type":44,"value":544},"medium",{"type":44,"value":435},{"type":39,"tag":67,"props":547,"children":549},{"className":548},[],[550],{"type":44,"value":551},"low",{"type":44,"value":90},{"type":39,"tag":146,"props":554,"children":555},{},[556,561],{"type":39,"tag":458,"props":557,"children":558},{},[559],{"type":44,"value":560},"Compose tearsheet.",{"type":44,"value":562}," For an HTML tearsheet, build a compact issuer baseline with an investor read, four or five decision-useful metrics, core business and earnings drivers, valuation context, concise catalysts\u002Frisks, material evidence gaps, source notes, and recommended next analytical route.",{"type":39,"tag":146,"props":564,"children":565},{},[566,571],{"type":39,"tag":458,"props":567,"children":568},{},[569],{"type":44,"value":570},"Keep scope at baseline.",{"type":44,"value":572}," Do not allow a live event, long missing-data register, extensive diligence questions, or scenario work to overwhelm the issuer baseline. Escalate to an owning full-analysis workflow when that additional work becomes central.",{"type":39,"tag":146,"props":574,"children":575},{},[576,581],{"type":39,"tag":458,"props":577,"children":578},{},[579],{"type":44,"value":580},"Run QC.",{"type":44,"value":582}," Confirm identity, periods, units, currency, sources, confidence, stale\u002Fconflicting data, derived-calculation support, and reader-facing legibility.",{"type":39,"tag":47,"props":584,"children":586},{"id":585},"deterministic-helpers",[587],{"type":44,"value":588},"Deterministic Helpers",{"type":39,"tag":590,"props":591,"children":596},"pre",{"className":592,"code":593,"language":594,"meta":595,"style":595},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","python scripts\u002Fvalidate_tearsheet_json.py path\u002Fto\u002Ftearsheet.json\npython scripts\u002Fbuild_tearsheet_markdown.py path\u002Fto\u002Ftearsheet.json output.md\n","bash","",[597],{"type":39,"tag":67,"props":598,"children":599},{"__ignoreMap":595},[600,623],{"type":39,"tag":601,"props":602,"children":605},"span",{"class":603,"line":604},"line",1,[606,612,618],{"type":39,"tag":601,"props":607,"children":609},{"style":608},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[610],{"type":44,"value":611},"python",{"type":39,"tag":601,"props":613,"children":615},{"style":614},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[616],{"type":44,"value":617}," scripts\u002Fvalidate_tearsheet_json.py",{"type":39,"tag":601,"props":619,"children":620},{"style":614},[621],{"type":44,"value":622}," path\u002Fto\u002Ftearsheet.json\n",{"type":39,"tag":601,"props":624,"children":626},{"class":603,"line":625},2,[627,631,636,641],{"type":39,"tag":601,"props":628,"children":629},{"style":608},[630],{"type":44,"value":611},{"type":39,"tag":601,"props":632,"children":633},{"style":614},[634],{"type":44,"value":635}," scripts\u002Fbuild_tearsheet_markdown.py",{"type":39,"tag":601,"props":637,"children":638},{"style":614},[639],{"type":44,"value":640}," path\u002Fto\u002Ftearsheet.json",{"type":39,"tag":601,"props":642,"children":643},{"style":614},[644],{"type":44,"value":645}," output.md\n",{"type":39,"tag":61,"props":647,"children":648},{},[649],{"type":44,"value":650},"The helpers validate\u002Frender structured inputs. They do not fetch data or replace source review. Raw JSON and generated Markdown are support or renderer-input artifacts unless the user explicitly asks for those formats.",{"type":39,"tag":61,"props":652,"children":653},{},[654,656,662,664,669,671,676,678,684],{"type":44,"value":655},"For standardized dashboard handoffs only, use ",{"type":39,"tag":67,"props":657,"children":659},{"className":658},[],[660],{"type":44,"value":661},"references\u002FDASHBOARD_PACK.md",{"type":44,"value":663},". ",{"type":39,"tag":67,"props":665,"children":667},{"className":666},[],[668],{"type":44,"value":4},{"type":44,"value":670}," owns the issuer baseline and source confidence; ",{"type":39,"tag":67,"props":672,"children":674},{"className":673},[],[675],{"type":44,"value":310},{"type":44,"value":677}," owns the shared shell\u002Frendering\u002FQA. Build a ",{"type":39,"tag":67,"props":679,"children":681},{"className":680},[],[682],{"type":44,"value":683},"public_equity_investing_dashboard.v1",{"type":44,"value":685}," payload as an internal renderer input, and keep JSON\u002FMarkdown support files behind the HTML artifact unless explicitly requested.",{"type":39,"tag":47,"props":687,"children":689},{"id":688},"when-to-invoke-support",[690],{"type":44,"value":691},"When To Invoke Support",{"type":39,"tag":61,"props":693,"children":694},{},[695,696,702,704,709,711,716,717,722],{"type":44,"value":101},{"type":39,"tag":67,"props":697,"children":699},{"className":698},[],[700],{"type":44,"value":701},"shared\u002Fsupport-layer-routing-contract.md",{"type":44,"value":703}," when support services are needed. Use ",{"type":39,"tag":67,"props":705,"children":707},{"className":706},[],[708],{"type":44,"value":376},{"type":44,"value":710}," for source hierarchy, stale data, conflicts, and fact\u002Fassumption labels; use ",{"type":39,"tag":67,"props":712,"children":714},{"className":713},[],[715],{"type":44,"value":388},{"type":44,"value":390},{"type":39,"tag":67,"props":718,"children":720},{"className":719},[],[721],{"type":44,"value":396},{"type":44,"value":723}," before using messy financials, ownership tables, market\u002Fsecurity data, or KPI exports. Support artifacts stay secondary to the tearsheet, dashboard\u002Freport, or downstream owning workflow.",{"type":39,"tag":47,"props":725,"children":727},{"id":726},"output-contract",[728],{"type":44,"value":729},"Output Contract",{"type":39,"tag":61,"props":731,"children":732},{},[733],{"type":44,"value":734},"User-facing response:",{"type":39,"tag":451,"props":736,"children":737},{},[738,743,748,753,758],{"type":39,"tag":146,"props":739,"children":740},{},[741],{"type":44,"value":742},"Tearsheet created: entity, profile type, scope, sources, as-of date.",{"type":39,"tag":146,"props":744,"children":745},{},[746],{"type":44,"value":747},"Key takeaways: 3-5 bullets with estimates\u002Fassumptions marked.",{"type":39,"tag":146,"props":749,"children":750},{},[751],{"type":44,"value":752},"Metric table: decision-useful metrics with period, units, source, confidence.",{"type":39,"tag":146,"props":754,"children":755},{},[756],{"type":44,"value":757},"Risks\u002Fgaps: stale data, conflicts, missing facts, evidence flags.",{"type":39,"tag":146,"props":759,"children":760},{},[761],{"type":44,"value":762},"Recommended next step or downstream handoff.",{"type":39,"tag":61,"props":764,"children":765},{},[766],{"type":44,"value":767},"For a standalone HTML tearsheet, keep the first-read structure compact:",{"type":39,"tag":451,"props":769,"children":770},{},[771,776,781,809,814],{"type":39,"tag":146,"props":772,"children":773},{},[774],{"type":44,"value":775},"Investor read and four or five high-signal metrics.",{"type":39,"tag":146,"props":777,"children":778},{},[779],{"type":44,"value":780},"Earnings-driver table or compact driver cards.",{"type":39,"tag":146,"props":782,"children":783},{},[784,786,792,793,799,801,807],{"type":44,"value":785},"Use the visible heading ",{"type":39,"tag":67,"props":787,"children":789},{"className":788},[],[790],{"type":44,"value":791},"Valuation Context",{"type":44,"value":390},{"type":39,"tag":67,"props":794,"children":796},{"className":795},[],[797],{"type":44,"value":798},"Trailing Valuation Snapshot",{"type":44,"value":800}," when only historical or derived multiples are supported. Do not include ",{"type":39,"tag":67,"props":802,"children":804},{"className":803},[],[805],{"type":44,"value":806},"Debate",{"type":44,"value":808}," in the heading unless forward estimates, peer comparisons, target-price evidence, or explicit market expectations are sourced.",{"type":39,"tag":146,"props":810,"children":811},{},[812],{"type":44,"value":813},"Concise catalyst-and-risk matrix.",{"type":39,"tag":146,"props":815,"children":816},{},[817],{"type":44,"value":818},"Material evidence gaps, source ledger, and next analytical route.",{"type":39,"tag":61,"props":820,"children":821},{},[822],{"type":44,"value":823},"Do not expand the tearsheet into a full initiation report, long diligence-question set, scenario package, or recommendation merely because HTML space is available.",{"type":39,"tag":47,"props":825,"children":827},{"id":826},"html-guidance",[828],{"type":44,"value":829},"HTML Guidance",{"type":39,"tag":61,"props":831,"children":832},{},[833,835,840],{"type":44,"value":834},"When HTML is requested or selected, load ",{"type":39,"tag":67,"props":836,"children":838},{"className":837},[],[839],{"type":44,"value":286},{"type":44,"value":841}," and apply these workflow-specific rules:",{"type":39,"tag":142,"props":843,"children":844},{},[845,850,855,860,865,884,889],{"type":39,"tag":146,"props":846,"children":847},{},[848],{"type":44,"value":849},"Lead with the factual investor read and the core earnings-driver question; the issuer baseline and earnings drivers are the primary objects.",{"type":39,"tag":146,"props":851,"children":852},{},[853],{"type":44,"value":854},"Prefer four or five distinct metric tiles, one earnings-driver comparison object, one compact valuation-context object, and one catalyst\u002Frisk object over repeated dashboard panels.",{"type":39,"tag":146,"props":856,"children":857},{},[858],{"type":44,"value":859},"When a current transaction, rumor, regulatory item, or other live event is material but not the requested focus, feature it in the investor read and catalyst\u002Frisk section and identify missing primary evidence in the evidence-gaps block. Do not thread it through earnings drivers, valuation, and multiple summary panels unless it directly changes those analyses.",{"type":39,"tag":146,"props":861,"children":862},{},[863],{"type":44,"value":864},"Keep missing ownership, positioning, factor, or consensus fields visible through a compact evidence-gaps block; do not render a long table of unsourced fields unless those fields are the requested diligence focus.",{"type":39,"tag":146,"props":866,"children":867},{},[868,870,876,877,883],{"type":44,"value":869},"Render visible evidence posture in plain language rather than internal labels such as ",{"type":39,"tag":67,"props":871,"children":873},{"className":872},[],[874],{"type":44,"value":875},"fact_source_reported",{"type":44,"value":390},{"type":39,"tag":67,"props":878,"children":880},{"className":879},[],[881],{"type":44,"value":882},"missing_required_source",{"type":44,"value":90},{"type":39,"tag":146,"props":885,"children":886},{},[887],{"type":44,"value":888},"Keep citations traceable but readable: do not fragment tickers, years, dates, numeric ranges, metric names, or product labels into separately linked tokens.",{"type":39,"tag":146,"props":890,"children":891},{},[892],{"type":44,"value":893},"Visually inspect local HTML via local headless-browser screenshots, not the in-app Browser plugin, and iterate on hierarchy, density, clipping, citation rendering, and whitespace before delivery.",{"type":39,"tag":47,"props":895,"children":897},{"id":896},"reference-map",[898],{"type":44,"value":899},"Reference Map",{"type":39,"tag":142,"props":901,"children":902},{},[903,913,924,943,954],{"type":39,"tag":146,"props":904,"children":905},{},[906,911],{"type":39,"tag":67,"props":907,"children":909},{"className":908},[],[910],{"type":44,"value":127},{"type":44,"value":912},": source hierarchy, citations, stale-data, labels, conflicts.",{"type":39,"tag":146,"props":914,"children":915},{},[916,922],{"type":39,"tag":67,"props":917,"children":919},{"className":918},[],[920],{"type":44,"value":921},"references\u002Fprofile-templates.md",{"type":44,"value":923},": one-page and profile-specific templates.",{"type":39,"tag":146,"props":925,"children":926},{},[927,933,935,941],{"type":39,"tag":67,"props":928,"children":930},{"className":929},[],[931],{"type":44,"value":932},"references\u002Fmetric-library.md",{"type":44,"value":934},": metric categories, ",{"type":39,"tag":67,"props":936,"children":938},{"className":937},[],[939],{"type":44,"value":940},"sector-context-overlay",{"type":44,"value":942}," guidance, KPI guidance.",{"type":39,"tag":146,"props":944,"children":945},{},[946,952],{"type":39,"tag":67,"props":947,"children":949},{"className":948},[],[950],{"type":44,"value":951},"references\u002Fquality-checks.md",{"type":44,"value":953},": profile QC checks.",{"type":39,"tag":146,"props":955,"children":956},{},[957,963],{"type":39,"tag":67,"props":958,"children":960},{"className":959},[],[961],{"type":44,"value":962},"references\u002Fintegration-guide.md",{"type":44,"value":964},": Public Equity Investing handoffs.",{"type":39,"tag":47,"props":966,"children":968},{"id":967},"public-equity-pm-judgment-layer",[969],{"type":44,"value":970},"Public Equity PM Judgment Layer",{"type":39,"tag":61,"props":972,"children":973},{},[974,976,982,984,990,991,997,998,1004,1005,1011,1012,1018],{"type":44,"value":975},"For substantial tearsheets, load ",{"type":39,"tag":67,"props":977,"children":979},{"className":978},[],[980],{"type":44,"value":981},"shared\u002Fpm-judgment-heuristics.md",{"type":44,"value":983}," before finalizing. Audience modes: ",{"type":39,"tag":67,"props":985,"children":987},{"className":986},[],[988],{"type":44,"value":989},"long_only_pm",{"type":44,"value":296},{"type":39,"tag":67,"props":992,"children":994},{"className":993},[],[995],{"type":44,"value":996},"long_short_hf",{"type":44,"value":296},{"type":39,"tag":67,"props":999,"children":1001},{"className":1000},[],[1002],{"type":44,"value":1003},"sell_side_research",{"type":44,"value":296},{"type":39,"tag":67,"props":1006,"children":1008},{"className":1007},[],[1009],{"type":44,"value":1010},"etf_index_diligence",{"type":44,"value":296},{"type":39,"tag":67,"props":1013,"children":1015},{"className":1014},[],[1016],{"type":44,"value":1017},"public_equity_diligence",{"type":44,"value":90},{"type":39,"tag":61,"props":1020,"children":1021},{},[1022,1024,1030,1031,1037,1038,1044,1045,1051,1052,1058],{"type":44,"value":1023},"Use-case modes: ",{"type":39,"tag":67,"props":1025,"children":1027},{"className":1026},[],[1028],{"type":44,"value":1029},"long_only_baseline",{"type":44,"value":296},{"type":39,"tag":67,"props":1032,"children":1034},{"className":1033},[],[1035],{"type":44,"value":1036},"hf_baseline",{"type":44,"value":296},{"type":39,"tag":67,"props":1039,"children":1041},{"className":1040},[],[1042],{"type":44,"value":1043},"sell_side_coverage_starter",{"type":44,"value":296},{"type":39,"tag":67,"props":1046,"children":1048},{"className":1047},[],[1049],{"type":44,"value":1050},"etf_index_constituent_profile",{"type":44,"value":296},{"type":39,"tag":67,"props":1053,"children":1055},{"className":1054},[],[1056],{"type":44,"value":1057},"public_diligence_baseline",{"type":44,"value":90},{"type":39,"tag":61,"props":1060,"children":1061},{},[1062],{"type":44,"value":1063},"Required PM judgment:",{"type":39,"tag":142,"props":1065,"children":1066},{},[1067,1072,1077,1082],{"type":39,"tag":146,"props":1068,"children":1069},{},[1070],{"type":44,"value":1071},"Keep the tearsheet factual, but make the next analytical route obvious.",{"type":39,"tag":146,"props":1073,"children":1074},{},[1075],{"type":44,"value":1076},"Include investor-useful fields when available: market cap, enterprise value, float, ADV\u002Fliquidity, index membership, ETF\u002Fpassive ownership and flow relevance, top holders, short interest, borrow\u002Fcrowding, factor exposure, ownership concentration, governance, capital allocation, sell-side coverage, consensus setup, balance-sheet risk, and key operating KPIs.",{"type":39,"tag":146,"props":1078,"children":1079},{},[1080],{"type":44,"value":1081},"Always identify unavailable or stale ownership, positioning, borrow, liquidity, factor, and consensus fields with an as-of\u002Fsource requirement rather than silently omitting them. In reader-facing HTML, consolidate non-central missing fields into a compact evidence-gaps block instead of displaying a long low-information register.",{"type":39,"tag":146,"props":1083,"children":1084},{},[1085],{"type":44,"value":1086},"Do not turn a tearsheet into a recommendation; route investment decisions to initiating coverage, memo-builder, long-short-pitch, or thesis-tracker.",{"type":39,"tag":1088,"props":1089,"children":1090},"style",{},[1091],{"type":44,"value":1092},"html .light .shiki span {color: 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.light .shiki span {color: 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":1094,"total":1299},[1095,1116,1139,1156,1172,1191,1210,1226,1242,1256,1268,1283],{"slug":1096,"name":1096,"fn":1097,"description":1098,"org":1099,"tags":1100,"stars":1113,"repoUrl":1114,"updatedAt":1115},"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},[1101,1104,1107,1110],{"name":1102,"slug":1103,"type":15},"Documents","documents",{"name":1105,"slug":1106,"type":15},"Healthcare","healthcare",{"name":1108,"slug":1109,"type":15},"Insurance","insurance",{"name":1111,"slug":1112,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-08-02T05:48:07.395855",{"slug":1117,"name":1117,"fn":1118,"description":1119,"org":1120,"tags":1121,"stars":1136,"repoUrl":1137,"updatedAt":1138},"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},[1122,1125,1127,1130,1133],{"name":1123,"slug":1124,"type":15},".NET","dotnet",{"name":1126,"slug":1117,"type":15},"ASP.NET Core",{"name":1128,"slug":1129,"type":15},"Blazor","blazor",{"name":1131,"slug":1132,"type":15},"C#","csharp",{"name":1134,"slug":1135,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1140,"name":1140,"fn":1141,"description":1142,"org":1143,"tags":1144,"stars":1136,"repoUrl":1137,"updatedAt":1155},"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},[1145,1148,1151,1154],{"name":1146,"slug":1147,"type":15},"Apps SDK","apps-sdk",{"name":1149,"slug":1150,"type":15},"ChatGPT","chatgpt",{"name":1152,"slug":1153,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1157,"name":1157,"fn":1158,"description":1159,"org":1160,"tags":1161,"stars":1136,"repoUrl":1137,"updatedAt":1171},"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},[1162,1165,1168],{"name":1163,"slug":1164,"type":15},"API Development","api-development",{"name":1166,"slug":1167,"type":15},"CLI","cli",{"name":1169,"slug":1170,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1173,"name":1173,"fn":1174,"description":1175,"org":1176,"tags":1177,"stars":1136,"repoUrl":1137,"updatedAt":1190},"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},[1178,1181,1184,1187],{"name":1179,"slug":1180,"type":15},"Cloudflare","cloudflare",{"name":1182,"slug":1183,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1185,"slug":1186,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1188,"slug":1189,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1192,"name":1192,"fn":1193,"description":1194,"org":1195,"tags":1196,"stars":1136,"repoUrl":1137,"updatedAt":1209},"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},[1197,1200,1203,1206],{"name":1198,"slug":1199,"type":15},"Productivity","productivity",{"name":1201,"slug":1202,"type":15},"Project Management","project-management",{"name":1204,"slug":1205,"type":15},"Strategy","strategy",{"name":1207,"slug":1208,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1211,"name":1211,"fn":1212,"description":1213,"org":1214,"tags":1215,"stars":1136,"repoUrl":1137,"updatedAt":1225},"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},[1216,1219,1221,1224],{"name":1217,"slug":1218,"type":15},"Design","design",{"name":1220,"slug":1211,"type":15},"Figma",{"name":1222,"slug":1223,"type":15},"Frontend","frontend",{"name":1152,"slug":1153,"type":15},"2026-04-12T05:06:47.939943",{"slug":1227,"name":1227,"fn":1228,"description":1229,"org":1230,"tags":1231,"stars":1136,"repoUrl":1137,"updatedAt":1241},"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},[1232,1233,1236,1237,1238],{"name":1217,"slug":1218,"type":15},{"name":1234,"slug":1235,"type":15},"Design System","design-system",{"name":1220,"slug":1211,"type":15},{"name":1222,"slug":1223,"type":15},{"name":1239,"slug":1240,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1243,"name":1243,"fn":1244,"description":1245,"org":1246,"tags":1247,"stars":1136,"repoUrl":1137,"updatedAt":1255},"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},[1248,1249,1250,1253,1254],{"name":1217,"slug":1218,"type":15},{"name":1234,"slug":1235,"type":15},{"name":1251,"slug":1252,"type":15},"Documentation","documentation",{"name":1220,"slug":1211,"type":15},{"name":1222,"slug":1223,"type":15},"2026-05-16T06:07:47.821474",{"slug":1257,"name":1257,"fn":1258,"description":1259,"org":1260,"tags":1261,"stars":1136,"repoUrl":1137,"updatedAt":1267},"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},[1262,1263,1264,1265,1266],{"name":1217,"slug":1218,"type":15},{"name":1220,"slug":1211,"type":15},{"name":1222,"slug":1223,"type":15},{"name":1239,"slug":1240,"type":15},{"name":1134,"slug":1135,"type":15},"2026-05-16T06:07:40.583615",{"slug":1269,"name":1269,"fn":1270,"description":1271,"org":1272,"tags":1273,"stars":1136,"repoUrl":1137,"updatedAt":1282},"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},[1274,1277,1278,1281],{"name":1275,"slug":1276,"type":15},"Animation","animation",{"name":1169,"slug":1170,"type":15},{"name":1279,"slug":1280,"type":15},"Creative","creative",{"name":1217,"slug":1218,"type":15},"2026-05-02T05:31:48.48485",{"slug":1284,"name":1284,"fn":1285,"description":1286,"org":1287,"tags":1288,"stars":1136,"repoUrl":1137,"updatedAt":1298},"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},[1289,1290,1291,1294,1297],{"name":1279,"slug":1280,"type":15},{"name":1217,"slug":1218,"type":15},{"name":1292,"slug":1293,"type":15},"Image Generation","image-generation",{"name":1295,"slug":1296,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",578,{"items":1301,"total":1397},[1302,1319,1333,1345,1360,1373,1385],{"slug":1303,"name":1303,"fn":1304,"description":1305,"org":1306,"tags":1307,"stars":22,"repoUrl":23,"updatedAt":1318},"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},[1308,1311,1314,1317],{"name":1309,"slug":1310,"type":15},"Accessibility","accessibility",{"name":1312,"slug":1313,"type":15},"Charts","charts",{"name":1315,"slug":1316,"type":15},"Data Visualization","data-visualization",{"name":1217,"slug":1218,"type":15},"2026-06-30T19:00:57.102",{"slug":1320,"name":1320,"fn":1321,"description":1322,"org":1323,"tags":1324,"stars":22,"repoUrl":23,"updatedAt":1332},"adobe-batch-edit-photos","apply consistent photo adjustments","Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says \"make my photos look cohesive\", \"give all these the same style\", \"apply a warm and golden feel to all of these\", \"make this cinematic\", \"match the look across my photos\", \"edit all my travel photos the same way\", \"batch edit these\", \"make these consistent\", \"fix my phone photos\", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like \"apply a preset to all of these\", \"make these look professional\", or \"they were shot in mixed lighting — can you fix them all\". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1325,1326,1329],{"name":1279,"slug":1280,"type":15},{"name":1327,"slug":1328,"type":15},"Editing","editing",{"name":1330,"slug":1331,"type":15},"Imaging","imaging","2026-08-28T15:09:11.185865",{"slug":1334,"name":1334,"fn":1335,"description":1336,"org":1337,"tags":1338,"stars":22,"repoUrl":23,"updatedAt":1344},"adobe-create-mockups","create product and scene mockups","Use when a user wants to see their logo, design, or sketch on a product or scene mockup — mugs, t-shirts, business cards, hats, phone screens, posters, billboards, or similar. Triggers on \"create mockups\", \"show my logo on products\", or any logo upload with a request to visualize it on items. Access: 🔐 Signed-In required | Gen AI: ✅ Adobe Firefly via `image_generate` used for design creation, sketch polishing, and mockup scene generation\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1339,1340,1341],{"name":1279,"slug":1280,"type":15},{"name":1217,"slug":1218,"type":15},{"name":1342,"slug":1343,"type":15},"Graphics","graphics","2026-08-28T15:09:07.42507",{"slug":1346,"name":1346,"fn":1347,"description":1348,"org":1349,"tags":1350,"stars":22,"repoUrl":23,"updatedAt":1359},"adobe-create-social-variations","export platform-ready social media assets","Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools. Use this skill when a user wants to prepare a photo, image, or video for one or more social platforms — Instagram, TikTok, LinkedIn, Facebook, YouTube, Snapchat, Pinterest, Threads, or X\u002FTwitter. Triggers on: \"prepare my image for Instagram\", \"resize for TikTok\", \"get this ready to post\", \"make versions for all platforms\", \"social media sizes\", \"crop for stories\", \"export for LinkedIn\", \"resize my video for social\", \"make social media assets\", or any request to adapt a photo or video for specific platforms. Handles subject-aware cropping, AI canvas expansion, test previews before full runs, and same-ratio video resizing.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1351,1352,1353,1356],{"name":1279,"slug":1280,"type":15},{"name":1342,"slug":1343,"type":15},{"name":1354,"slug":1355,"type":15},"Marketing","marketing",{"name":1357,"slug":1358,"type":15},"Social Media","social-media","2026-08-28T15:10:07.282096",{"slug":1361,"name":1361,"fn":1362,"description":1363,"org":1364,"tags":1365,"stars":22,"repoUrl":23,"updatedAt":1372},"adobe-design-from-template","create visual designs from templates","Create any visual design using Adobe Express templates — flyers, posters, social media posts (Instagram, Facebook, LinkedIn), business cards, invitations, greeting cards, resumes, cover letters, brochures, newsletters, certificates, presentations, YouTube thumbnails, email headers, logos, menus, and labels. Use this skill whenever the user wants to make, design, or build any visual — even if they just say \"make me a flyer\", \"design a poster\", \"I need something for Instagram\", \"create an event invite\", or \"make a business card\". Also handles browsing templates, editing text, replacing images, changing backgrounds, animating, and exporting designs. Access: 🔐 Signed-In required | Gen AI: ❌ by default — image replacement only where the surface permits generative AI (e.g. Codex); none on Claude\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1366,1367,1368,1369],{"name":1279,"slug":1280,"type":15},{"name":1217,"slug":1218,"type":15},{"name":1342,"slug":1343,"type":15},{"name":1370,"slug":1371,"type":15},"Templates","templates","2026-08-28T15:10:03.050113",{"slug":1374,"name":1374,"fn":1375,"description":1376,"org":1377,"tags":1378,"stars":22,"repoUrl":23,"updatedAt":1384},"adobe-edit-quick-cut","create video sizzle reels","Create a punchy sizzle reel from a video using Adobe Quick Cut. Use this skill whenever a user wants to cut, trim, or shorten a video into highlights — including phrases like \"make a sizzle reel\", \"make a highlight reel\", \"quick cut this\", \"cut the best parts\", \"shorten this video\", \"make a highlight clip\", \"summarize this video visually\", or any request to produce a shorter edited version of a video. Use this skill for Quick Cut requests before suggesting manual editing in Premiere. Requires the user to upload a video file.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1379,1380,1381],{"name":1279,"slug":1280,"type":15},{"name":1327,"slug":1328,"type":15},{"name":1382,"slug":1383,"type":15},"Video","video","2026-08-28T15:09:07.765245",{"slug":1386,"name":1386,"fn":1387,"description":1388,"org":1389,"tags":1390,"stars":22,"repoUrl":23,"updatedAt":1396},"adobe-retouch-portraits","batch retouch portrait photos","Bulk-retouch a folder of portrait photos using Adobe tools — designed for wedding photographers and event photographers who need fast, walk-away batch processing. Use this skill when the user says \"retouch my photos\", \"batch process these portraits\", \"process my wedding photos\", \"clean up this folder of images\", \"run my headshots through Adobe\", or uploads\u002Fselects a folder of photos and wants them polished and ready to review. Automatically applies auto-straighten, auto-tone, and auto-light to every image. Outputs a preview grid and download folder. Access: 🔐 Signed-In required | Gen AI: ❌ by default — optional background-only cleanup only where the surface permits generative AI (e.g. Codex); none on Claude\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1391,1392,1393],{"name":1279,"slug":1280,"type":15},{"name":1330,"slug":1331,"type":15},{"name":1394,"slug":1395,"type":15},"Photography","photography","2026-08-28T15:09:10.386974",499]