[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-initiating-coverage":3,"mdc--16z50z-key":33,"related-org-openai-initiating-coverage":1097,"related-repo-openai-initiating-coverage":1304},{"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},"initiating-coverage","build public equity initiating coverage reports","Use when building public-equity-investing initiating coverage reports. Do not use for trade pitches, memos, earnings notes, models, or tearsheets.",{"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","2026-08-28T15:10:06.852616",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\u002Finitiating-coverage","---\nname: initiating-coverage\ndescription: Use when building public-equity-investing initiating coverage reports. Do not use for trade pitches, memos, earnings notes, models, or tearsheets.\n---\n\n# Initiating Coverage\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 categories needed for this workflow: `company_filings_ir`, `earnings_transcripts_presentations`, `internal_research`, `portfolio_models_trackers`, and `market_data_estimates`. Use the shared runtime contract to map each attempted category to an available app, connector, file, export, or user-provided input.\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- `Earnings Transcripts & Events`\n- `Portfolio Models & Trackers`\n- `Internal Research`\n\n## Internal Support\n\nWhen this workflow needs rendering, evidence\u002Fdata preparation, style, or sector context, route support through the visible `public-equity-investing` router and its bundled internal playbooks. Route workbook or model QA through the visible `model-audit-tieout` workflow.\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. Reuse resolved preferences in downstream steps; when acting only as input to an owning workflow, do not re-prompt.\n\n## Purpose\n\nBuild a full public-equity-investing initiation report that is thesis-led, model-backed, valuation-aware, source-disciplined, and explicit about what is proven versus assumed.\n\nThis skill owns initiation-style research architecture. It can produce a report outline, full initiation report, structured internal handoff, source request list, model\u002Fvaluation workplan, or deck-ready storyboard. For a substantial reusable initiation package, default to a polished standalone HTML initiation report following `..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md`, unless the user requests another surface, a quick\u002Fno-file answer, or a model\u002Fworkbook-first deliverable. Use `dashboard-builder` only when the user explicitly asks for a standardized dashboard, reusable validated template, or structured payload-driven render. Structured JSON is support\u002Faudit material, not the final user-facing artifact. This skill does not own live trade expression, generic memo writing, earnings notes, model-only work, or one-page issuer profiles.\n\n## Do Not Use\n\n- Live trade pitch, pair trade, add\u002Ftrim\u002Fexit rules, short-cover logic, or variant-perception trade expression: use `long-short-pitch`.\n- IC memo, investment memo, committee note, client memo, PM update, or memo rewrite: use `memo-builder`.\n- Pre-earnings or post-earnings note: use `earnings-preview` or `earnings-deep-dive`.\n- Model refresh, DCF, 3-statement model, comps workbook, or sensitivity-only task: use the relevant model or scenario skill.\n- One-page public issuer profile: use `company-tearsheet`.\n\n## Non-Negotiables\n\n- Preserve user files and models. Create additive outputs or marked-up recommendations unless the user explicitly asks for edits.\n- Prioritize user-provided material, connected\u002Fapproved sources, primary filings\u002Freleases\u002Ftranscripts, trusted providers, then clearly labeled assumptions.\n- Include report date, data cut-off, evidence confidence, underwriting status, unresolved conflicts, and major assumptions. Keep evidence confidence distinct from underwriting readiness; do not describe investability as source confidence.\n- Label facts, company claims, street estimates, model-derived values, PM judgment, assumptions, mixed claims, and missing sources.\n- Do not make personalized investment advice or compliance\u002Flegal\u002Ftax conclusions. Treat rating\u002Ftarget price language as research output requiring human review.\n- If context is thin, produce a skeleton, research agenda, model architecture, source request list, and thesis hypotheses rather than fabricating facts.\n\n## Workflow\n\n1. **Classify the mode.** Choose `sell_side_initiation`, `buy_side_deep_dive`, `long_only_initiation`, `hedge_fund_initiation`, `credit_adjacent_initiation`, `sector_initiation`, `model_first_initiation`, or `report_refresh`. Load `references\u002Freport-modes.md` only when mode-specific requirements matter.\n2. **Assess context depth.** For no-context prompts, ask one targeted clarification only if company\u002Fsecurity or output mode is unclear. For partial\u002Ffull context, preserve supplied facts, identify missing inputs, and build a source register and assumption register.\n3. **Complete market data and valuation inputs.** Before finalizing a substantive initiation, retrieve current price with an as-of timestamp, market capitalization, diluted share-count inputs, enterprise-value inputs, and available consensus or estimate context from approved accessible sources. Load `references\u002Fsource-and-evidence.md` for required treatment. If an input is unavailable, label it missing and explain what valuation conclusion it prevents; do not omit available market context simply because the report remains preliminary.\n4. **Coordinate with local skills.** Use `financial-source-of-truth` for evidence posture, `company-tearsheet` for issuer baseline, `financials-normalizer` or `excel-data-cleaner` for source prep, model skills for valuation work, `scenario-sensitivity-generator` for cases, and `thesis-tracker` after initiation.\n5. **Frame the senior thesis.** Answer what the market is missing, what must be true, what falsifies the thesis, which KPI\u002Fcatalyst matters, why the valuation method fits, and what would change the view.\n6. **Apply the financed-growth gate when material.** When capital intensity, debt, lease liabilities, dilution, customer-funded buildout, or financing risk is central to the equity debate, require a pro forma fully diluted capitalization \u002F enterprise-value bridge and after-financing return evidence before a positive ownership conclusion or target price. Use normalized FCF, ROIC or return on invested capacity, capacity-cohort cash returns, leverage, and interest burden as applicable. Treat equity-value-to-revenue or other revenue multiples as preliminary market context only when material financed obligations are not yet incorporated.\n7. **Build the report.** Default structure: cover\u002Fview, executive summary, key debates, company overview, industry position, model summary, valuation, catalysts, risks\u002Fdisconfirmers, scenarios, and source appendix. In standalone HTML, make the first read a single research-posture block, the central debate, the valuation or capital-return gate, the essential evidence, and what remains missing. Do not repeat the same conclusion in a hero, metric tile, PM-answer block, and decision box.\n8. **Apply sector context.** Load `references\u002Fsector-overlays.md` for report-mode framing and use `sector-context-overlay` only when sector nuance affects KPIs, valuation, or red flags.\n9. **Run QA.** Confirm the report has a real view, falsifiable thesis, sourced metrics, visible data cut-off, source conflicts, appropriate sector metrics, and non-boilerplate risks. For a local HTML file, inspect the opening viewport and important downstream sections with local headless-browser screenshots rather than the in-app Browser plugin; iterate on hierarchy, clipping, citation noise, and readability.\n\n## Sub-agent decomposition\n\nFor complex medium\u002Flarge requests, use sub-agents where available; otherwise emulate the split as named workstreams. Suggested lanes: evidence gathering, company and industry analysis, model\u002Fvaluation, thesis and risk, and report QA. Keep this skill as the lead: reconcile conflicts, source labels, assumptions, open items, final QA, and the user-facing answer.\n\n\n## Artifact Contract\n\nDefault initiation output should include:\n\n- MD \u002F PM-level answer with recommendation or research posture.\n- Investment thesis with 3-5 evidence-linked claims.\n- Key debates and variant perception.\n- Company and industry overview.\n- Model and forecast driver table.\n- Valuation \u002F target price methodology, sensitivity, and backup method.\n- Current market data and valuation-input status, including as-of time and explicit missing inputs.\n- Earnings quality and EPS basis when P\u002FE or EPS-driven valuation is used.\n- Catalysts, risks, disconfirming evidence, and monitoring items.\n- Source register, conflicts, assumptions, and open evidence requests.\n\nFor a long-only initiation where valuation, the capital stack, or after-financing cash economics remain materially unproven, label the output a `Preliminary initiation underwrite` or `Watchlist initiation`. State the evidence and modeling required before ownership rather than implying a completed positive initiation or supplying an unsupported target price. This posture does not excuse omitting current market data that is obtainable from approved accessible sources.\n\nFor standalone HTML artifacts, keep citations traceable but readable: do not fragment tickers, fiscal periods, dates, prices, ranges, multiples, or metric names with inline source links. Cite a complete figure or statement, or use a compact nearby source note.\n\nStructured handoffs should follow `references\u002Foutput-schema.md` and can be validated with:\n\n```bash\npython scripts\u002Fvalidate_initiation_json.py path\u002Fto\u002Finitiation.json\n```\n\nFor publication-looking reports, run `python scripts\u002Fvalidate_initiation_json.py path\u002Fto\u002Finitiation.json --publication-ready` so unresolved placeholders, weak source metadata, and unknown source IDs hard-fail. Use the validated structure to render or support the human-readable report; do not make raw JSON the lead deliverable unless explicitly requested.\n\nUse `scripts\u002Fcalculate_price_target.py` only when valuation assumptions are available in JSON; the helper calculates math, not analyst judgment.\n\nIf the user explicitly asks for a standardized dashboard, use `references\u002FDASHBOARD_PACK.md`. `initiating-coverage` owns the thesis, report architecture, and valuation judgment; `dashboard-builder` owns the shell\u002Frendering\u002FQA. Build a `public_equity_investing_dashboard.v1` payload as an internal renderer input, and keep JSON\u002FMarkdown\u002FCSV support files behind the HTML dashboard unless explicitly requested.\n\n## Reference Map\n\n- `references\u002Freport-modes.md`: mode-specific output standards.\n- `references\u002Freport-architecture.md`: full report structures and section variants.\n- `references\u002Fthesis-framework.md`: senior thesis, debate, and falsification prompts.\n- `references\u002Fvaluation-and-modeling.md`: valuation methods, assumptions, and price-target logic.\n- `references\u002Fsource-and-evidence.md`: source hierarchy, labels, stale data, and evidence requests.\n- `references\u002Fsector-overlays.md`: sector KPI, valuation, and red-flag overlays.\n- `references\u002Fpm-md-standards.md`: quality bar for PM\u002FMD-level initiations.\n- `references\u002Foutput-templates.md`: reusable report sections.\n- `references\u002Fquality-checklist.md`: final QA.\n- `references\u002Fintegration-guide.md`: local handoff patterns.\n\n## Final Note\n\nEnd each initiation with evidence confidence, underwriting status, data cut-off, unresolved conflicts, major assumptions, and the recommended next handoff such as `thesis-tracker`, `equity-model-update`, `earnings-preview`, or `long-short-pitch`.\n\n## Public Equity PM Judgment Layer\n\nFor substantial initiation work, 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\nRequired PM judgment:\n- State the decision hinge, variant perception, what is priced in, valuation basis, downside mechanism, ownership\u002Fpositioning, benchmark relevance, and falsifiers.\n- Add `etf_index_constituent_diligence` when the user is assessing an issuer as an ETF\u002Findex constituent, index exposure, passive-flow risk, or benchmark-relative holding.\n- Include market cap, float\u002Fliquidity, ownership, short interest, factor exposure, index membership, and capital allocation when source-backed or clearly missing.\n- Fund\u002Fproduct diligence is out of scope; public issuer or constituent diligence is in scope.\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,46,53,60,91,97,148,154,159,209,215,236,242,263,269,274,295,301,365,371,404,410,641,647,652,658,663,716,736,741,754,788,801,814,849,855,965,971,1001,1007,1055,1060,1091],{"type":39,"tag":40,"props":41,"children":42},"element","h1",{"id":4},[43],{"type":44,"value":45},"text","Initiating Coverage",{"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},{},[100,102,108,110,116,118,124,125,131,132,138,140,146],{"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 categories needed for this workflow: ",{"type":39,"tag":67,"props":111,"children":113},{"className":112},[],[114],{"type":44,"value":115},"company_filings_ir",{"type":44,"value":117},", ",{"type":39,"tag":67,"props":119,"children":121},{"className":120},[],[122],{"type":44,"value":123},"earnings_transcripts_presentations",{"type":44,"value":117},{"type":39,"tag":67,"props":126,"children":128},{"className":127},[],[129],{"type":44,"value":130},"internal_research",{"type":44,"value":117},{"type":39,"tag":67,"props":133,"children":135},{"className":134},[],[136],{"type":44,"value":137},"portfolio_models_trackers",{"type":44,"value":139},", and ",{"type":39,"tag":67,"props":141,"children":143},{"className":142},[],[144],{"type":44,"value":145},"market_data_estimates",{"type":44,"value":147},". Use the shared runtime contract to map each attempted category to an available app, connector, file, export, or user-provided input.",{"type":39,"tag":47,"props":149,"children":151},{"id":150},"relevant-dependency-categories",[152],{"type":44,"value":153},"Relevant Dependency Categories",{"type":39,"tag":61,"props":155,"children":156},{},[157],{"type":44,"value":158},"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":160,"props":161,"children":162},"ul",{},[163,173,182,191,200],{"type":39,"tag":164,"props":165,"children":166},"li",{},[167],{"type":39,"tag":67,"props":168,"children":170},{"className":169},[],[171],{"type":44,"value":172},"Market Data & Estimates",{"type":39,"tag":164,"props":174,"children":175},{},[176],{"type":39,"tag":67,"props":177,"children":179},{"className":178},[],[180],{"type":44,"value":181},"Company Filings & IR",{"type":39,"tag":164,"props":183,"children":184},{},[185],{"type":39,"tag":67,"props":186,"children":188},{"className":187},[],[189],{"type":44,"value":190},"Earnings Transcripts & Events",{"type":39,"tag":164,"props":192,"children":193},{},[194],{"type":39,"tag":67,"props":195,"children":197},{"className":196},[],[198],{"type":44,"value":199},"Portfolio Models & Trackers",{"type":39,"tag":164,"props":201,"children":202},{},[203],{"type":39,"tag":67,"props":204,"children":206},{"className":205},[],[207],{"type":44,"value":208},"Internal Research",{"type":39,"tag":47,"props":210,"children":212},{"id":211},"internal-support",[213],{"type":44,"value":214},"Internal Support",{"type":39,"tag":61,"props":216,"children":217},{},[218,220,226,228,234],{"type":44,"value":219},"When this workflow needs rendering, evidence\u002Fdata preparation, style, or sector context, route support through the visible ",{"type":39,"tag":67,"props":221,"children":223},{"className":222},[],[224],{"type":44,"value":225},"public-equity-investing",{"type":44,"value":227}," router and its bundled internal playbooks. Route workbook or model QA through the visible ",{"type":39,"tag":67,"props":229,"children":231},{"className":230},[],[232],{"type":44,"value":233},"model-audit-tieout",{"type":44,"value":235}," workflow.",{"type":39,"tag":47,"props":237,"children":239},{"id":238},"deliverable-intake",[240],{"type":44,"value":241},"Deliverable Intake",{"type":39,"tag":61,"props":243,"children":244},{},[245,247,253,255,261],{"type":44,"value":246},"Before source gathering or analysis for a new substantive hero deliverable, load ",{"type":39,"tag":67,"props":248,"children":250},{"className":249},[],[251],{"type":44,"value":252},"..\u002F..\u002Fshared\u002Fdeliverable-intake-policy.md",{"type":44,"value":254}," and use its adaptive ",{"type":39,"tag":67,"props":256,"children":258},{"className":257},[],[259],{"type":44,"value":260},"request_user_input",{"type":44,"value":262}," preflight for materially unresolved format, depth, audience\u002Fuse, or focus choices. Reuse resolved preferences in downstream steps; when acting only as input to an owning workflow, do not re-prompt.",{"type":39,"tag":47,"props":264,"children":266},{"id":265},"purpose",[267],{"type":44,"value":268},"Purpose",{"type":39,"tag":61,"props":270,"children":271},{},[272],{"type":44,"value":273},"Build a full public-equity-investing initiation report that is thesis-led, model-backed, valuation-aware, source-disciplined, and explicit about what is proven versus assumed.",{"type":39,"tag":61,"props":275,"children":276},{},[277,279,285,287,293],{"type":44,"value":278},"This skill owns initiation-style research architecture. It can produce a report outline, full initiation report, structured internal handoff, source request list, model\u002Fvaluation workplan, or deck-ready storyboard. For a substantial reusable initiation package, default to a polished standalone HTML initiation report following ",{"type":39,"tag":67,"props":280,"children":282},{"className":281},[],[283],{"type":44,"value":284},"..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md",{"type":44,"value":286},", unless the user requests another surface, a quick\u002Fno-file answer, or a model\u002Fworkbook-first deliverable. Use ",{"type":39,"tag":67,"props":288,"children":290},{"className":289},[],[291],{"type":44,"value":292},"dashboard-builder",{"type":44,"value":294}," only when the user explicitly asks for a standardized dashboard, reusable validated template, or structured payload-driven render. Structured JSON is support\u002Faudit material, not the final user-facing artifact. This skill does not own live trade expression, generic memo writing, earnings notes, model-only work, or one-page issuer profiles.",{"type":39,"tag":47,"props":296,"children":298},{"id":297},"do-not-use",[299],{"type":44,"value":300},"Do Not Use",{"type":39,"tag":160,"props":302,"children":303},{},[304,316,328,348,353],{"type":39,"tag":164,"props":305,"children":306},{},[307,309,315],{"type":44,"value":308},"Live trade pitch, pair trade, add\u002Ftrim\u002Fexit rules, short-cover logic, or variant-perception trade expression: use ",{"type":39,"tag":67,"props":310,"children":312},{"className":311},[],[313],{"type":44,"value":314},"long-short-pitch",{"type":44,"value":90},{"type":39,"tag":164,"props":317,"children":318},{},[319,321,327],{"type":44,"value":320},"IC memo, investment memo, committee note, client memo, PM update, or memo rewrite: use ",{"type":39,"tag":67,"props":322,"children":324},{"className":323},[],[325],{"type":44,"value":326},"memo-builder",{"type":44,"value":90},{"type":39,"tag":164,"props":329,"children":330},{},[331,333,339,341,347],{"type":44,"value":332},"Pre-earnings or post-earnings note: use ",{"type":39,"tag":67,"props":334,"children":336},{"className":335},[],[337],{"type":44,"value":338},"earnings-preview",{"type":44,"value":340}," or ",{"type":39,"tag":67,"props":342,"children":344},{"className":343},[],[345],{"type":44,"value":346},"earnings-deep-dive",{"type":44,"value":90},{"type":39,"tag":164,"props":349,"children":350},{},[351],{"type":44,"value":352},"Model refresh, DCF, 3-statement model, comps workbook, or sensitivity-only task: use the relevant model or scenario skill.",{"type":39,"tag":164,"props":354,"children":355},{},[356,358,364],{"type":44,"value":357},"One-page public issuer profile: use ",{"type":39,"tag":67,"props":359,"children":361},{"className":360},[],[362],{"type":44,"value":363},"company-tearsheet",{"type":44,"value":90},{"type":39,"tag":47,"props":366,"children":368},{"id":367},"non-negotiables",[369],{"type":44,"value":370},"Non-Negotiables",{"type":39,"tag":160,"props":372,"children":373},{},[374,379,384,389,394,399],{"type":39,"tag":164,"props":375,"children":376},{},[377],{"type":44,"value":378},"Preserve user files and models. Create additive outputs or marked-up recommendations unless the user explicitly asks for edits.",{"type":39,"tag":164,"props":380,"children":381},{},[382],{"type":44,"value":383},"Prioritize user-provided material, connected\u002Fapproved sources, primary filings\u002Freleases\u002Ftranscripts, trusted providers, then clearly labeled assumptions.",{"type":39,"tag":164,"props":385,"children":386},{},[387],{"type":44,"value":388},"Include report date, data cut-off, evidence confidence, underwriting status, unresolved conflicts, and major assumptions. 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Audience modes: ",{"type":39,"tag":67,"props":1021,"children":1023},{"className":1022},[],[1024],{"type":44,"value":1025},"long_only_pm",{"type":44,"value":117},{"type":39,"tag":67,"props":1028,"children":1030},{"className":1029},[],[1031],{"type":44,"value":1032},"long_short_hf",{"type":44,"value":117},{"type":39,"tag":67,"props":1035,"children":1037},{"className":1036},[],[1038],{"type":44,"value":1039},"sell_side_research",{"type":44,"value":117},{"type":39,"tag":67,"props":1042,"children":1044},{"className":1043},[],[1045],{"type":44,"value":1046},"etf_index_diligence",{"type":44,"value":117},{"type":39,"tag":67,"props":1049,"children":1051},{"className":1050},[],[1052],{"type":44,"value":1053},"public_equity_diligence",{"type":44,"value":90},{"type":39,"tag":61,"props":1056,"children":1057},{},[1058],{"type":44,"value":1059},"Required PM judgment:",{"type":39,"tag":160,"props":1061,"children":1062},{},[1063,1068,1081,1086],{"type":39,"tag":164,"props":1064,"children":1065},{},[1066],{"type":44,"value":1067},"State the decision hinge, variant perception, what is priced in, valuation basis, downside mechanism, ownership\u002Fpositioning, benchmark relevance, and falsifiers.",{"type":39,"tag":164,"props":1069,"children":1070},{},[1071,1073,1079],{"type":44,"value":1072},"Add ",{"type":39,"tag":67,"props":1074,"children":1076},{"className":1075},[],[1077],{"type":44,"value":1078},"etf_index_constituent_diligence",{"type":44,"value":1080}," when the user is assessing an issuer as an ETF\u002Findex constituent, index exposure, passive-flow risk, or benchmark-relative holding.",{"type":39,"tag":164,"props":1082,"children":1083},{},[1084],{"type":44,"value":1085},"Include market cap, float\u002Fliquidity, ownership, short interest, factor exposure, index membership, and capital allocation when source-backed or clearly missing.",{"type":39,"tag":164,"props":1087,"children":1088},{},[1089],{"type":44,"value":1090},"Fund\u002Fproduct diligence is out of scope; public issuer or constituent diligence is in scope.",{"type":39,"tag":1092,"props":1093,"children":1094},"style",{},[1095],{"type":44,"value":1096},"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":1098,"total":1303},[1099,1120,1143,1160,1176,1195,1214,1230,1246,1260,1272,1287],{"slug":1100,"name":1100,"fn":1101,"description":1102,"org":1103,"tags":1104,"stars":1117,"repoUrl":1118,"updatedAt":1119},"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},[1105,1108,1111,1114],{"name":1106,"slug":1107,"type":15},"Documents","documents",{"name":1109,"slug":1110,"type":15},"Healthcare","healthcare",{"name":1112,"slug":1113,"type":15},"Insurance","insurance",{"name":1115,"slug":1116,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-08-02T05:48:07.395855",{"slug":1121,"name":1121,"fn":1122,"description":1123,"org":1124,"tags":1125,"stars":1140,"repoUrl":1141,"updatedAt":1142},"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},[1126,1129,1131,1134,1137],{"name":1127,"slug":1128,"type":15},".NET","dotnet",{"name":1130,"slug":1121,"type":15},"ASP.NET Core",{"name":1132,"slug":1133,"type":15},"Blazor","blazor",{"name":1135,"slug":1136,"type":15},"C#","csharp",{"name":1138,"slug":1139,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1144,"name":1144,"fn":1145,"description":1146,"org":1147,"tags":1148,"stars":1140,"repoUrl":1141,"updatedAt":1159},"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},[1149,1152,1155,1158],{"name":1150,"slug":1151,"type":15},"Apps SDK","apps-sdk",{"name":1153,"slug":1154,"type":15},"ChatGPT","chatgpt",{"name":1156,"slug":1157,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1161,"name":1161,"fn":1162,"description":1163,"org":1164,"tags":1165,"stars":1140,"repoUrl":1141,"updatedAt":1175},"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},[1166,1169,1172],{"name":1167,"slug":1168,"type":15},"API Development","api-development",{"name":1170,"slug":1171,"type":15},"CLI","cli",{"name":1173,"slug":1174,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1177,"name":1177,"fn":1178,"description":1179,"org":1180,"tags":1181,"stars":1140,"repoUrl":1141,"updatedAt":1194},"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},[1182,1185,1188,1191],{"name":1183,"slug":1184,"type":15},"Cloudflare","cloudflare",{"name":1186,"slug":1187,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1189,"slug":1190,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1192,"slug":1193,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1196,"name":1196,"fn":1197,"description":1198,"org":1199,"tags":1200,"stars":1140,"repoUrl":1141,"updatedAt":1213},"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},[1201,1204,1207,1210],{"name":1202,"slug":1203,"type":15},"Productivity","productivity",{"name":1205,"slug":1206,"type":15},"Project Management","project-management",{"name":1208,"slug":1209,"type":15},"Strategy","strategy",{"name":1211,"slug":1212,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1215,"name":1215,"fn":1216,"description":1217,"org":1218,"tags":1219,"stars":1140,"repoUrl":1141,"updatedAt":1229},"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},[1220,1223,1225,1228],{"name":1221,"slug":1222,"type":15},"Design","design",{"name":1224,"slug":1215,"type":15},"Figma",{"name":1226,"slug":1227,"type":15},"Frontend","frontend",{"name":1156,"slug":1157,"type":15},"2026-04-12T05:06:47.939943",{"slug":1231,"name":1231,"fn":1232,"description":1233,"org":1234,"tags":1235,"stars":1140,"repoUrl":1141,"updatedAt":1245},"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},[1236,1237,1240,1241,1242],{"name":1221,"slug":1222,"type":15},{"name":1238,"slug":1239,"type":15},"Design System","design-system",{"name":1224,"slug":1215,"type":15},{"name":1226,"slug":1227,"type":15},{"name":1243,"slug":1244,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1247,"name":1247,"fn":1248,"description":1249,"org":1250,"tags":1251,"stars":1140,"repoUrl":1141,"updatedAt":1259},"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},[1252,1253,1254,1257,1258],{"name":1221,"slug":1222,"type":15},{"name":1238,"slug":1239,"type":15},{"name":1255,"slug":1256,"type":15},"Documentation","documentation",{"name":1224,"slug":1215,"type":15},{"name":1226,"slug":1227,"type":15},"2026-05-16T06:07:47.821474",{"slug":1261,"name":1261,"fn":1262,"description":1263,"org":1264,"tags":1265,"stars":1140,"repoUrl":1141,"updatedAt":1271},"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},[1266,1267,1268,1269,1270],{"name":1221,"slug":1222,"type":15},{"name":1224,"slug":1215,"type":15},{"name":1226,"slug":1227,"type":15},{"name":1243,"slug":1244,"type":15},{"name":1138,"slug":1139,"type":15},"2026-05-16T06:07:40.583615",{"slug":1273,"name":1273,"fn":1274,"description":1275,"org":1276,"tags":1277,"stars":1140,"repoUrl":1141,"updatedAt":1286},"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},[1278,1281,1282,1285],{"name":1279,"slug":1280,"type":15},"Animation","animation",{"name":1173,"slug":1174,"type":15},{"name":1283,"slug":1284,"type":15},"Creative","creative",{"name":1221,"slug":1222,"type":15},"2026-05-02T05:31:48.48485",{"slug":1288,"name":1288,"fn":1289,"description":1290,"org":1291,"tags":1292,"stars":1140,"repoUrl":1141,"updatedAt":1302},"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},[1293,1294,1295,1298,1301],{"name":1283,"slug":1284,"type":15},{"name":1221,"slug":1222,"type":15},{"name":1296,"slug":1297,"type":15},"Image Generation","image-generation",{"name":1299,"slug":1300,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",578,{"items":1305,"total":1401},[1306,1323,1337,1349,1364,1377,1389],{"slug":1307,"name":1307,"fn":1308,"description":1309,"org":1310,"tags":1311,"stars":22,"repoUrl":23,"updatedAt":1322},"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},[1312,1315,1318,1321],{"name":1313,"slug":1314,"type":15},"Accessibility","accessibility",{"name":1316,"slug":1317,"type":15},"Charts","charts",{"name":1319,"slug":1320,"type":15},"Data Visualization","data-visualization",{"name":1221,"slug":1222,"type":15},"2026-06-30T19:00:57.102",{"slug":1324,"name":1324,"fn":1325,"description":1326,"org":1327,"tags":1328,"stars":22,"repoUrl":23,"updatedAt":1336},"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},[1329,1330,1333],{"name":1283,"slug":1284,"type":15},{"name":1331,"slug":1332,"type":15},"Editing","editing",{"name":1334,"slug":1335,"type":15},"Imaging","imaging","2026-08-28T15:09:11.185865",{"slug":1338,"name":1338,"fn":1339,"description":1340,"org":1341,"tags":1342,"stars":22,"repoUrl":23,"updatedAt":1348},"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},[1343,1344,1345],{"name":1283,"slug":1284,"type":15},{"name":1221,"slug":1222,"type":15},{"name":1346,"slug":1347,"type":15},"Graphics","graphics","2026-08-28T15:09:07.42507",{"slug":1350,"name":1350,"fn":1351,"description":1352,"org":1353,"tags":1354,"stars":22,"repoUrl":23,"updatedAt":1363},"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},[1355,1356,1357,1360],{"name":1283,"slug":1284,"type":15},{"name":1346,"slug":1347,"type":15},{"name":1358,"slug":1359,"type":15},"Marketing","marketing",{"name":1361,"slug":1362,"type":15},"Social Media","social-media","2026-08-28T15:10:07.282096",{"slug":1365,"name":1365,"fn":1366,"description":1367,"org":1368,"tags":1369,"stars":22,"repoUrl":23,"updatedAt":1376},"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},[1370,1371,1372,1373],{"name":1283,"slug":1284,"type":15},{"name":1221,"slug":1222,"type":15},{"name":1346,"slug":1347,"type":15},{"name":1374,"slug":1375,"type":15},"Templates","templates","2026-08-28T15:10:03.050113",{"slug":1378,"name":1378,"fn":1379,"description":1380,"org":1381,"tags":1382,"stars":22,"repoUrl":23,"updatedAt":1388},"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},[1383,1384,1385],{"name":1283,"slug":1284,"type":15},{"name":1331,"slug":1332,"type":15},{"name":1386,"slug":1387,"type":15},"Video","video","2026-08-28T15:09:07.765245",{"slug":1390,"name":1390,"fn":1391,"description":1392,"org":1393,"tags":1394,"stars":22,"repoUrl":23,"updatedAt":1400},"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},[1395,1396,1397],{"name":1283,"slug":1284,"type":15},{"name":1334,"slug":1335,"type":15},{"name":1398,"slug":1399,"type":15},"Photography","photography","2026-08-28T15:09:10.386974",499]