[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-portfolio-risk-management":3,"mdc-w664qm-key":36,"related-org-openai-portfolio-risk-management":1436,"related-repo-openai-portfolio-risk-management":1643},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"portfolio-risk-management","manage public equity portfolio risk","Use when sizing Public Equity Investing positions, finding equity hedges, or building an integrated position-and-hedge risk plan from a listed-equity thesis. Do not use for thesis construction, standalone event underwriting, trade execution, personal investment advice, or credit-instrument risk.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Portfolio Management","portfolio-management","tag",{"name":17,"slug":18,"type":15},"Finance","finance",{"name":20,"slug":21,"type":15},"Equity Research","equity-research",{"name":23,"slug":24,"type":15},"Risk Assessment","risk-assessment",4888,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-08-28T15:10:07.714314",null,661,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fpublic-equity-investing\u002Fskills\u002Fportfolio-risk-management","---\nname: portfolio-risk-management\ndescription: Use when sizing Public Equity Investing positions, finding equity hedges, or building an integrated position-and-hedge risk plan from a listed-equity thesis. Do not use for thesis construction, standalone event underwriting, trade execution, personal investment advice, or credit-instrument risk.\n---\n\n# Portfolio Risk Management\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: `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- `Portfolio Models & Trackers`\n- `Market Data & Estimates`\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. For a substantive integrated position-and-hedge plan or explicit HTML risk-plan request, the default resolves the presentation surface to a polished standalone HTML risk decision report unless the user requests another surface, a quick\u002Fno-file answer, workbook output, or 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\nTurn a listed-equity investment view into an implementable risk posture: the right size, any appropriate hedge, the exposure intentionally retained, and the rules for resizing or removing protection. This skill owns equity longs, equity shorts, pair trades, ETFs\u002Findex constituents, listed options, equity factor hedges, futures\u002Findex overlays, and macro proxies when the decision remains a public-equity decision.\n\nDo not treat sizing and hedging as independent answers when one changes the other. Size from the tightest credible constraint; hedge only risks that can be reduced without destroying the intended alpha. A size-down\u002Fno-hedge outcome is valid when hedge basis risk, cost, liquidity, or complexity is worse than the unwanted exposure.\n\nFor a substantive reusable risk package, produce a polished standalone HTML risk decision report following `..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md`; retain the structured decision-sheet strengths of sizing tables, hedge comparisons, scenarios, and monitoring triggers without forcing a standardized dashboard shell. Use `dashboard-builder` only when the user explicitly asks for a standardized dashboard, recurring monitoring dashboard, reusable validated template, or structured payload-driven render.\n\n## Mode Selection\n\nInfer the mode from the requested decision and available context:\n\n| Mode | Use when | Core output |\n| --- | --- | --- |\n| `position_sizing` | The user asks how much to own or short, add\u002Ftrim\u002Fexit thresholds, loss budgets, liquidity capacity, or portfolio exposure impact. | Recommended size, binding constraint, scenario P&L, liquidity exit, monitoring rules. |\n| `hedge_design` | The user asks how to hedge, neutralize, protect, de-beta, rank hedge candidates, or compare hedge instruments. | Hedge objective, candidate set, basis-risk ledger, sizing method, readiness checks, exit rules. |\n| `integrated_risk_plan` | The user asks for both position size and hedge, or the hedge choice could materially change recommended size. | Unhedged versus hedged\u002Fsize-down comparison, recommended package, retained exposure, action rules. |\n\nDo not ask the user to choose a mode when the prompt or supplied artifact makes the decision clear. Ask one targeted clarification only when selecting the wrong mode would materially change the deliverable, such as an ambiguous request to \"manage risk\" without a stated position, unwanted exposure, or requested action.\n\n## Public Equity PM\u002FRisk Lens\n\nLoad `..\u002F..\u002Fshared\u002Fpm-judgment-heuristics.md` and `..\u002F..\u002Fshared\u002Fcredit-markets-handoff.md` before producing a substantial risk recommendation.\n\nAudience modes:\n\n- `long_only_pm`: emphasize benchmark active weight, tracking error, liquidity\u002Fcapacity, drawdown tolerance, add\u002Ftrim discipline, and portfolio role.\n- `long_short_hf`: emphasize gross\u002Fnet\u002Fbeta\u002Ffactor impact, borrow, short squeeze risk, catalyst path, hedge fit, and cover\u002Fresize rules.\n- `market_neutral_pairs_pm`: emphasize leg sizing, beta\u002Ffactor\u002Fdriver neutrality, residual spread risk, borrow, and liquidity.\n- `event_driven_equity_pm`: emphasize adverse gap, timing delay, probability-weighted outcomes, options\u002Fborrow liquidity, and event slippage.\n- `etf_index_benchmark_pm`: emphasize constituent weight, active weight, ETF\u002Findex flow exposure, rebalance risk, liquidity, and tracking-error impact.\n\nEvery substantive output must state intended alpha, unwanted risk, retained exposure, binding constraint, liquidity\u002Fexit posture, hedge or size-down tradeoff, monitoring triggers, implementation readiness, and missing evidence that could change the decision. Include basis risk and a hedge-failure scenario whenever protection is proposed.\n\n## Boundary With Credit Markets\n\nThis skill may use CDS levels, credit spreads, ratings, maturity walls, refinancing pressure, covenant headlines, or liquidity stress only as common-equity downside signals.\n\nUse CDS\u002Fspreads only as common-equity risk context. CDS levels and credit spreads may appear only as equity-risk signals or common-equity downside context; never treat them as a locally owned hedge implementation.\n\nUse Credit Markets for CDS, bonds, loans, spread DV01\u002FCS01, credit spread hedges, capital-structure hedges, distressed hedges, recovery waterfalls, covenant analysis or covenant hedges, debt-security sizing, and credit-security relative value. Do not present a credit instrument as a local hedge recommendation.\n\n## Do Not Use\n\n- Thesis, variant perception, or pitch construction: use `long-short-pitch` or `memo-builder`.\n- Dated event probability and payoff underwriting: use `event-driven-analyzer`.\n- Macro\u002Feconomic transmission mapping: use `economic-impact-report`.\n- Catalyst calendar or monitoring-only work: use `catalyst-calendar` or `thesis-tracker`.\n- Personal investment advice, trade execution, or legal\u002Fcompliance conclusions.\n\n## Context Modes\n\n| Context | Default behavior |\n| --- | --- |\n| No context | Request the security\u002Fexposure, desired action, horizon, constraints, and available data; provide a usable intake frame without inventing a recommendation. |\n| Partial context | Produce a conditional risk screen or screen-grade integrated plan with explicit assumptions and missing-data checks; do not recommend initiation when required implementation inputs are missing. |\n| Full source | Normalize inputs, tie out sources, run scenarios, and produce decision-ready risk guidance. |\n| Review or refresh | Preserve prior work, identify stale inputs and hidden exposures, and show what changes the size or hedge. |\n\n## Workflow\n\n1. **Define the decision.** Capture security, direction, current\u002Fproposed size, thesis exposure to retain, unwanted risk, price\u002Fas-of time, horizon\u002Fcatalyst, portfolio context, mandate limits, liquidity, and requested action.\n2. **Resolve the loss-budget interpretation.** Distinguish a `scenario loss budget`, which constrains loss under a stated adverse move, from an `absolute loss cap`, which must remain satisfied even if the stock moves beyond that scenario. When the user gives a loss limit for a short but does not say which interpretation applies, ask one targeted clarification in an interactive run. In a non-interactive run, show both branches and do not silently turn an assumed squeeze magnitude into an initiation recommendation. For a short with an absolute cap, require priced defined-loss protection or recommend no position.\n3. **Map exposures.** Separate intended idiosyncratic, event, and chosen factor\u002Fmacro exposures from unwanted beta, sector, factor, FX, commodity, liquidity, borrow, financing, crowding, gap, and portfolio-concentration risk.\n4. **Build risk cases.** Estimate upside\u002Fbase\u002Fdownside\u002Fstress outcomes, probability-weighted return when supportable, scenario P&L, liquidity\u002Fexit implications, and any hedge-failure case. Label assumed stress magnitudes as illustrative until confirmed by the user or a governing risk policy.\n5. **Apply the selected mode.**\n   - For `position_sizing`, triangulate loss-budget, volatility, liquidity, exposure-limit, benchmark\u002Ffactor, borrow\u002Fsqueeze, catalyst, and portfolio-fit constraints; recommend the most restrictive credible size.\n   - For `hedge_design`, classify exposures as keep, hedge, reduce, or monitor; evaluate direct equity, ETF\u002Findex, factor, pair, listed-option, futures\u002Findex, causal macro-proxy, portfolio-overlay, and no-hedge\u002Fsize-down alternatives.\n   - For `integrated_risk_plan`, compare unhedged size, hedged size, and size-down\u002Fno-hedge outcomes; recommend the package with the clearest retained alpha and acceptable cost\u002Fbasis risk.\n6. **Assess feasibility.** State market-data freshness, ADV\u002Fexit days, borrow\u002Frecall\u002Fsqueeze constraints, option chain\u002FGreeks where relevant, cost\u002Fcarry, basis risk, mandate\u002Fcompliance checks, and implementation-readiness gaps. For a short recommendation, current executable quote, ADV\u002Fexit capacity, locate\u002Fborrow terms, and current squeeze\u002Fcrowding inputs are required before using `initiate` or other implementation-ready language; live option terms are additionally required before recommending an options hedge.\n7. **Recommend and monitor.** If implementation inputs are missing, label the result `Conditional risk screen` or `Not implementation-ready` and state the conditional size\u002Fpackage rather than instructing initiation. Otherwise state recommended size and\u002For hedge, action, binding constraint, retained exposure, rejected alternative where material, add\u002Ftrim\u002Fexit\u002Fcover\u002Fresize\u002Froll\u002Fremove triggers, confidence, and missing evidence.\n8. **Render and inspect when HTML is delivered.** In a standalone HTML report, front-load a compact constraint-interpretation table, conditional or executable action, hedge tradeoff, and missing inputs before entry. Keep citations readable: do not fragment tickers, dates, percentages, basis-point amounts, instrument terms such as `GLP-1`, or scenario labels with inline links. For a local HTML file, inspect the opening viewport and decision-critical downstream sections with local headless-browser screenshots rather than the in-app Browser plugin.\n\n## Reference Map\n\nLoad only references needed by the selected mode:\n\n- All substantive modes: `references\u002Fsource-and-context-protocol.md`, `references\u002Fexposure-and-factor-risk.md`, and `references\u002Fliquidity-drawdown-scenarios.md`.\n- `position_sizing`: `references\u002Fsizing-framework.md`, `references\u002Fstrategy-nuance.md`, `references\u002Fposition-sizing-output-templates.md`, and `references\u002Fquality-control.md`.\n- `hedge_design`: `references\u002Fhedge-workflow.md`, `references\u002Finstrument-playbooks.md`, `references\u002Fhedge-output-templates.md`, and `references\u002Fhedge-scorecard-schema.md`.\n- `integrated_risk_plan`: the sizing and hedge references necessary for the recommended package; avoid loading unused instrument playbooks.\n- Standalone HTML deliverables: `..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md` and the selected mode's output template.\n- Explicit standardized dashboard deliverables: `references\u002FDASHBOARD_PACK.md`.\n\n## Deterministic Scripts\n\nUse bundled helpers when structured inputs are supplied or the user asks for templates\u002Ffiles:\n\n```bash\npython scripts\u002Fcreate_position_sizing_templates.py --out path\u002Fto\u002Ftemplates\npython scripts\u002Fposition_sizing_calculator.py --input path\u002Fto\u002Finput.json --out path\u002Fto\u002Foutputs\npython scripts\u002Fscore_hedge_candidates.py hedge_candidates.csv --output-dir path\u002Fto\u002Foutputs\n```\n\nThe sizing helpers write transparent calculation\u002Faudit support files including `position_summary.csv`, `sizing_cases.csv`, `scenario_pnl.csv`, `exposure_impact.csv`, `liquidity_exit.csv`, `monitoring_rules.csv`, `support_note.md`, `run_log.json`, and `manifest.json`. The hedge helper writes `hedge_scorecard_support_note.md`, `hedge_scorecard.csv`, `hedge_scorecard.json`, and `basis_risk_ledger.csv`.\n\nThese helpers do not fetch live data, run portfolio risk systems, satisfy compliance checks, or replace PM judgment. CSV, Markdown, JSON, run-log, and manifest files are support artifacts unless the user explicitly asks for those formats. For substantial reusable packages, lead with a polished standalone HTML risk decision report unless the user explicitly requests a standardized dashboard.\n\n## Dashboard Handoff\n\nIf the user explicitly asks for a standardized or recurring dashboard, use `references\u002FDASHBOARD_PACK.md`. `portfolio-risk-management` owns size, hedge, retained-exposure, binding-constraint, basis-risk, scenario, liquidity, and monitoring judgment; `dashboard-builder` owns rendering and validation. Build a `public_equity_investing_dashboard.v1` payload as an internal renderer input and keep support files behind the HTML dashboard unless explicitly requested.\n\n## Handoffs\n\n- `long-short-pitch`: establish the thesis and trade expression before risk construction.\n- `thesis-tracker`: maintain decision triggers after a position or hedge is adopted.\n- `earnings-preview`, `earnings-deep-dive`, `equity-model-update`, `economic-impact-report`, or `event-driven-analyzer`: refresh the underlying equity case before risk work when needed.\n- `scenario-sensitivity-generator`: build larger grids or breakevens.\n- `financial-source-of-truth`, `financials-normalizer`, `model-audit-tieout`, and `excel-data-cleaner`: de-risk source data or workbook inputs.\n- `memo-builder`, `deck-report-qc`, and `style-guide-adapter`: package or circulate a final artifact.\n\n## Output Contract\n\nDefault output should include:\n\n1. Decision summary: mode, recommendation or conditional screen status, action readiness, confidence, and binding constraint.\n2. Exposure objective: intended alpha, unwanted risk, and retained exposure.\n3. Constraint interpretation: scenario loss budget versus absolute loss cap, the assumptions needed for each branch, and the compliant action.\n4. Risk\u002Freturn cases: downside, stress, catalyst\u002Fpath case, and hedge-failure case when relevant.\n5. Sizing recommendation or hedge package, including size-down\u002Fno-hedge comparison where material.\n6. Portfolio impact, liquidity\u002Fexit, cost\u002Fcarry, basis risk, and readiness gaps.\n7. Monitoring rules: add, trim, exit, cover, resize, roll, remove, and re-underwrite triggers as applicable.\n8. Sources, assumptions, stale inputs, and open data requests.\n\nBefore finalizing a sizing or integrated recommendation, apply `references\u002Fquality-control.md`. Before recommending a hedge, confirm it preserves desired thesis exposure, names basis risk and cost\u002Fcarry, and includes a no-hedge\u002Fsize-down alternative.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,56,63,94,100,137,143,148,180,186,207,213,234,240,245,250,271,277,282,381,386,392,412,417,475,480,486,491,496,501,507,578,584,658,664,831,837,842,980,986,991,1089,1186,1191,1197,1231,1237,1364,1370,1375,1418,1430],{"type":42,"tag":43,"props":44,"children":45},"element","h1",{"id":4},[46],{"type":47,"value":48},"text","Portfolio Risk Management",{"type":42,"tag":50,"props":51,"children":53},"h2",{"id":52},"skill-configuration",[54],{"type":47,"value":55},"Skill Configuration",{"type":42,"tag":57,"props":58,"children":60},"h3",{"id":59},"common-skill-instructions",[61],{"type":47,"value":62},"Common Skill Instructions",{"type":42,"tag":64,"props":65,"children":66},"p",{},[67,69,76,78,84,86,92],{"type":47,"value":68},"MANDATORY: Before searching connectors, retrieving evidence, or drafting output, read and apply the shared runtime contract in ",{"type":42,"tag":70,"props":71,"children":73},"code",{"className":72},[],[74],{"type":47,"value":75},"..\u002Fpublic-equity-investing\u002FSKILL.md## Cross-Skill Runtime Contract",{"type":47,"value":77},". Then check the router skill map and ",{"type":42,"tag":70,"props":79,"children":81},{"className":80},[],[82],{"type":47,"value":83},"..\u002F..\u002Fshared\u002Fplugin-routing-playbook.md",{"type":47,"value":85}," 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":42,"tag":70,"props":87,"children":89},{"className":88},[],[90],{"type":47,"value":91},"..\u002Fuser-context\u002FSKILL.md",{"type":47,"value":93},".",{"type":42,"tag":57,"props":95,"children":97},{"id":96},"source-resolution",[98],{"type":47,"value":99},"Source Resolution",{"type":42,"tag":64,"props":101,"children":102},{},[103,105,111,113,119,121,127,129,135],{"type":47,"value":104},"Load ",{"type":42,"tag":70,"props":106,"children":108},{"className":107},[],[109],{"type":47,"value":110},"..\u002F..\u002Fshared\u002Fworkflow-source-resolution.md",{"type":47,"value":112},". Resolve only the categories needed for this workflow: ",{"type":42,"tag":70,"props":114,"children":116},{"className":115},[],[117],{"type":47,"value":118},"internal_research",{"type":47,"value":120},", ",{"type":42,"tag":70,"props":122,"children":124},{"className":123},[],[125],{"type":47,"value":126},"portfolio_models_trackers",{"type":47,"value":128},", and ",{"type":42,"tag":70,"props":130,"children":132},{"className":131},[],[133],{"type":47,"value":134},"market_data_estimates",{"type":47,"value":136},". Use the shared runtime contract to map each attempted category to an available app, connector, file, export, or user-provided input.",{"type":42,"tag":50,"props":138,"children":140},{"id":139},"relevant-dependency-categories",[141],{"type":47,"value":142},"Relevant Dependency Categories",{"type":42,"tag":64,"props":144,"children":145},{},[146],{"type":47,"value":147},"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":42,"tag":149,"props":150,"children":151},"ul",{},[152,162,171],{"type":42,"tag":153,"props":154,"children":155},"li",{},[156],{"type":42,"tag":70,"props":157,"children":159},{"className":158},[],[160],{"type":47,"value":161},"Portfolio Models & Trackers",{"type":42,"tag":153,"props":163,"children":164},{},[165],{"type":42,"tag":70,"props":166,"children":168},{"className":167},[],[169],{"type":47,"value":170},"Market Data & Estimates",{"type":42,"tag":153,"props":172,"children":173},{},[174],{"type":42,"tag":70,"props":175,"children":177},{"className":176},[],[178],{"type":47,"value":179},"Internal Research",{"type":42,"tag":50,"props":181,"children":183},{"id":182},"internal-support",[184],{"type":47,"value":185},"Internal Support",{"type":42,"tag":64,"props":187,"children":188},{},[189,191,197,199,205],{"type":47,"value":190},"When this workflow needs rendering, evidence\u002Fdata preparation, style, or sector context, route support through the visible ",{"type":42,"tag":70,"props":192,"children":194},{"className":193},[],[195],{"type":47,"value":196},"public-equity-investing",{"type":47,"value":198}," router and its bundled internal playbooks. Route workbook or model QA through the visible ",{"type":42,"tag":70,"props":200,"children":202},{"className":201},[],[203],{"type":47,"value":204},"model-audit-tieout",{"type":47,"value":206}," workflow.",{"type":42,"tag":50,"props":208,"children":210},{"id":209},"deliverable-intake",[211],{"type":47,"value":212},"Deliverable Intake",{"type":42,"tag":64,"props":214,"children":215},{},[216,218,224,226,232],{"type":47,"value":217},"Before source gathering or analysis for a new substantive hero deliverable, load ",{"type":42,"tag":70,"props":219,"children":221},{"className":220},[],[222],{"type":47,"value":223},"..\u002F..\u002Fshared\u002Fdeliverable-intake-policy.md",{"type":47,"value":225}," and use its adaptive ",{"type":42,"tag":70,"props":227,"children":229},{"className":228},[],[230],{"type":47,"value":231},"request_user_input",{"type":47,"value":233}," preflight for materially unresolved format, depth, audience\u002Fuse, or focus choices. For a substantive integrated position-and-hedge plan or explicit HTML risk-plan request, the default resolves the presentation surface to a polished standalone HTML risk decision report unless the user requests another surface, a quick\u002Fno-file answer, workbook output, or a standardized dashboard. Reuse resolved preferences in downstream steps; when acting only as input to an owning workflow, do not re-prompt.",{"type":42,"tag":50,"props":235,"children":237},{"id":236},"purpose",[238],{"type":47,"value":239},"Purpose",{"type":42,"tag":64,"props":241,"children":242},{},[243],{"type":47,"value":244},"Turn a listed-equity investment view into an implementable risk posture: the right size, any appropriate hedge, the exposure intentionally retained, and the rules for resizing or removing protection. This skill owns equity longs, equity shorts, pair trades, ETFs\u002Findex constituents, listed options, equity factor hedges, futures\u002Findex overlays, and macro proxies when the decision remains a public-equity decision.",{"type":42,"tag":64,"props":246,"children":247},{},[248],{"type":47,"value":249},"Do not treat sizing and hedging as independent answers when one changes the other. Size from the tightest credible constraint; hedge only risks that can be reduced without destroying the intended alpha. A size-down\u002Fno-hedge outcome is valid when hedge basis risk, cost, liquidity, or complexity is worse than the unwanted exposure.",{"type":42,"tag":64,"props":251,"children":252},{},[253,255,261,263,269],{"type":47,"value":254},"For a substantive reusable risk package, produce a polished standalone HTML risk decision report following ",{"type":42,"tag":70,"props":256,"children":258},{"className":257},[],[259],{"type":47,"value":260},"..\u002F..\u002Fshared\u002Fhtml-artifact-standard.md",{"type":47,"value":262},"; retain the structured decision-sheet strengths of sizing tables, hedge comparisons, scenarios, and monitoring triggers without forcing a standardized dashboard shell. 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path\u002Fto\u002Foutputs\n",{"type":42,"tag":1003,"props":1063,"children":1065},{"class":1005,"line":1064},3,[1066,1070,1075,1080,1085],{"type":42,"tag":1003,"props":1067,"children":1068},{"style":1010},[1069],{"type":47,"value":1013},{"type":42,"tag":1003,"props":1071,"children":1072},{"style":1016},[1073],{"type":47,"value":1074}," scripts\u002Fscore_hedge_candidates.py",{"type":42,"tag":1003,"props":1076,"children":1077},{"style":1016},[1078],{"type":47,"value":1079}," hedge_candidates.csv",{"type":42,"tag":1003,"props":1081,"children":1082},{"style":1016},[1083],{"type":47,"value":1084}," --output-dir",{"type":42,"tag":1003,"props":1086,"children":1087},{"style":1016},[1088],{"type":47,"value":1061},{"type":42,"tag":64,"props":1090,"children":1091},{},[1092,1094,1100,1101,1107,1108,1114,1115,1121,1122,1128,1129,1135,1136,1142,1143,1149,1150,1156,1158,1164,1165,1171,1172,1178,1179,1185],{"type":47,"value":1093},"The sizing helpers write transparent calculation\u002Faudit support files including ",{"type":42,"tag":70,"props":1095,"children":1097},{"className":1096},[],[1098],{"type":47,"value":1099},"position_summary.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1102,"children":1104},{"className":1103},[],[1105],{"type":47,"value":1106},"sizing_cases.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1109,"children":1111},{"className":1110},[],[1112],{"type":47,"value":1113},"scenario_pnl.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1116,"children":1118},{"className":1117},[],[1119],{"type":47,"value":1120},"exposure_impact.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1123,"children":1125},{"className":1124},[],[1126],{"type":47,"value":1127},"liquidity_exit.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1130,"children":1132},{"className":1131},[],[1133],{"type":47,"value":1134},"monitoring_rules.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1137,"children":1139},{"className":1138},[],[1140],{"type":47,"value":1141},"support_note.md",{"type":47,"value":120},{"type":42,"tag":70,"props":1144,"children":1146},{"className":1145},[],[1147],{"type":47,"value":1148},"run_log.json",{"type":47,"value":128},{"type":42,"tag":70,"props":1151,"children":1153},{"className":1152},[],[1154],{"type":47,"value":1155},"manifest.json",{"type":47,"value":1157},". The hedge helper writes ",{"type":42,"tag":70,"props":1159,"children":1161},{"className":1160},[],[1162],{"type":47,"value":1163},"hedge_scorecard_support_note.md",{"type":47,"value":120},{"type":42,"tag":70,"props":1166,"children":1168},{"className":1167},[],[1169],{"type":47,"value":1170},"hedge_scorecard.csv",{"type":47,"value":120},{"type":42,"tag":70,"props":1173,"children":1175},{"className":1174},[],[1176],{"type":47,"value":1177},"hedge_scorecard.json",{"type":47,"value":128},{"type":42,"tag":70,"props":1180,"children":1182},{"className":1181},[],[1183],{"type":47,"value":1184},"basis_risk_ledger.csv",{"type":47,"value":93},{"type":42,"tag":64,"props":1187,"children":1188},{},[1189],{"type":47,"value":1190},"These helpers do not fetch live data, run portfolio risk systems, satisfy compliance checks, or replace PM judgment. CSV, Markdown, JSON, run-log, and manifest files are support artifacts unless the user explicitly asks for those formats. For substantial reusable packages, lead with a polished standalone HTML risk decision report unless the user explicitly requests a standardized dashboard.",{"type":42,"tag":50,"props":1192,"children":1194},{"id":1193},"dashboard-handoff",[1195],{"type":47,"value":1196},"Dashboard Handoff",{"type":42,"tag":64,"props":1198,"children":1199},{},[1200,1202,1207,1209,1214,1216,1221,1223,1229],{"type":47,"value":1201},"If the user explicitly asks for a standardized or recurring dashboard, use ",{"type":42,"tag":70,"props":1203,"children":1205},{"className":1204},[],[1206],{"type":47,"value":978},{"type":47,"value":1208},". ",{"type":42,"tag":70,"props":1210,"children":1212},{"className":1211},[],[1213],{"type":47,"value":4},{"type":47,"value":1215}," owns size, hedge, retained-exposure, binding-constraint, basis-risk, scenario, liquidity, and monitoring judgment; ",{"type":42,"tag":70,"props":1217,"children":1219},{"className":1218},[],[1220],{"type":47,"value":268},{"type":47,"value":1222}," owns rendering and validation. Build a ",{"type":42,"tag":70,"props":1224,"children":1226},{"className":1225},[],[1227],{"type":47,"value":1228},"public_equity_investing_dashboard.v1",{"type":47,"value":1230}," payload as an internal renderer input and keep support files behind the HTML dashboard unless explicitly requested.",{"type":42,"tag":50,"props":1232,"children":1234},{"id":1233},"handoffs",[1235],{"type":47,"value":1236},"Handoffs",{"type":42,"tag":149,"props":1238,"children":1239},{},[1240,1250,1260,1298,1309,1340],{"type":42,"tag":153,"props":1241,"children":1242},{},[1243,1248],{"type":42,"tag":70,"props":1244,"children":1246},{"className":1245},[],[1247],{"type":47,"value":520},{"type":47,"value":1249},": establish the thesis and trade expression before risk construction.",{"type":42,"tag":153,"props":1251,"children":1252},{},[1253,1258],{"type":42,"tag":70,"props":1254,"children":1256},{"className":1255},[],[1257],{"type":47,"value":571},{"type":47,"value":1259},": maintain decision triggers after a position or hedge is adopted.",{"type":42,"tag":153,"props":1261,"children":1262},{},[1263,1269,1270,1276,1277,1283,1284,1289,1291,1296],{"type":42,"tag":70,"props":1264,"children":1266},{"className":1265},[],[1267],{"type":47,"value":1268},"earnings-preview",{"type":47,"value":120},{"type":42,"tag":70,"props":1271,"children":1273},{"className":1272},[],[1274],{"type":47,"value":1275},"earnings-deep-dive",{"type":47,"value":120},{"type":42,"tag":70,"props":1278,"children":1280},{"className":1279},[],[1281],{"type":47,"value":1282},"equity-model-update",{"type":47,"value":120},{"type":42,"tag":70,"props":1285,"children":1287},{"className":1286},[],[1288],{"type":47,"value":552},{"type":47,"value":1290},", or ",{"type":42,"tag":70,"props":1292,"children":1294},{"className":1293},[],[1295],{"type":47,"value":540},{"type":47,"value":1297},": refresh the underlying equity case before risk work when needed.",{"type":42,"tag":153,"props":1299,"children":1300},{},[1301,1307],{"type":42,"tag":70,"props":1302,"children":1304},{"className":1303},[],[1305],{"type":47,"value":1306},"scenario-sensitivity-generator",{"type":47,"value":1308},": build larger grids or breakevens.",{"type":42,"tag":153,"props":1310,"children":1311},{},[1312,1318,1319,1325,1326,1331,1332,1338],{"type":42,"tag":70,"props":1313,"children":1315},{"className":1314},[],[1316],{"type":47,"value":1317},"financial-source-of-truth",{"type":47,"value":120},{"type":42,"tag":70,"props":1320,"children":1322},{"className":1321},[],[1323],{"type":47,"value":1324},"financials-normalizer",{"type":47,"value":120},{"type":42,"tag":70,"props":1327,"children":1329},{"className":1328},[],[1330],{"type":47,"value":204},{"type":47,"value":128},{"type":42,"tag":70,"props":1333,"children":1335},{"className":1334},[],[1336],{"type":47,"value":1337},"excel-data-cleaner",{"type":47,"value":1339},": de-risk source data or workbook inputs.",{"type":42,"tag":153,"props":1341,"children":1342},{},[1343,1348,1349,1355,1356,1362],{"type":42,"tag":70,"props":1344,"children":1346},{"className":1345},[],[1347],{"type":47,"value":528},{"type":47,"value":120},{"type":42,"tag":70,"props":1350,"children":1352},{"className":1351},[],[1353],{"type":47,"value":1354},"deck-report-qc",{"type":47,"value":128},{"type":42,"tag":70,"props":1357,"children":1359},{"className":1358},[],[1360],{"type":47,"value":1361},"style-guide-adapter",{"type":47,"value":1363},": package or circulate a final artifact.",{"type":42,"tag":50,"props":1365,"children":1367},{"id":1366},"output-contract",[1368],{"type":47,"value":1369},"Output Contract",{"type":42,"tag":64,"props":1371,"children":1372},{},[1373],{"type":47,"value":1374},"Default output should include:",{"type":42,"tag":665,"props":1376,"children":1377},{},[1378,1383,1388,1393,1398,1403,1408,1413],{"type":42,"tag":153,"props":1379,"children":1380},{},[1381],{"type":47,"value":1382},"Decision summary: mode, recommendation or conditional screen status, action readiness, confidence, and binding constraint.",{"type":42,"tag":153,"props":1384,"children":1385},{},[1386],{"type":47,"value":1387},"Exposure objective: intended alpha, unwanted risk, and retained exposure.",{"type":42,"tag":153,"props":1389,"children":1390},{},[1391],{"type":47,"value":1392},"Constraint interpretation: scenario loss budget versus absolute loss cap, the assumptions needed for each branch, and the compliant action.",{"type":42,"tag":153,"props":1394,"children":1395},{},[1396],{"type":47,"value":1397},"Risk\u002Freturn cases: downside, stress, catalyst\u002Fpath case, and hedge-failure case when relevant.",{"type":42,"tag":153,"props":1399,"children":1400},{},[1401],{"type":47,"value":1402},"Sizing recommendation or hedge package, including size-down\u002Fno-hedge comparison where material.",{"type":42,"tag":153,"props":1404,"children":1405},{},[1406],{"type":47,"value":1407},"Portfolio impact, liquidity\u002Fexit, cost\u002Fcarry, basis risk, and readiness gaps.",{"type":42,"tag":153,"props":1409,"children":1410},{},[1411],{"type":47,"value":1412},"Monitoring rules: add, trim, exit, cover, resize, roll, remove, and re-underwrite triggers as applicable.",{"type":42,"tag":153,"props":1414,"children":1415},{},[1416],{"type":47,"value":1417},"Sources, assumptions, stale inputs, and open data requests.",{"type":42,"tag":64,"props":1419,"children":1420},{},[1421,1423,1428],{"type":47,"value":1422},"Before finalizing a sizing or integrated recommendation, apply ",{"type":42,"tag":70,"props":1424,"children":1426},{"className":1425},[],[1427],{"type":47,"value":907},{"type":47,"value":1429},". Before recommending a hedge, confirm it preserves desired thesis exposure, names basis risk and cost\u002Fcarry, and includes a no-hedge\u002Fsize-down alternative.",{"type":42,"tag":1431,"props":1432,"children":1433},"style",{},[1434],{"type":47,"value":1435},"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":1437,"total":1642},[1438,1459,1482,1499,1515,1534,1553,1569,1585,1599,1611,1626],{"slug":1439,"name":1439,"fn":1440,"description":1441,"org":1442,"tags":1443,"stars":1456,"repoUrl":1457,"updatedAt":1458},"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},[1444,1447,1450,1453],{"name":1445,"slug":1446,"type":15},"Documents","documents",{"name":1448,"slug":1449,"type":15},"Healthcare","healthcare",{"name":1451,"slug":1452,"type":15},"Insurance","insurance",{"name":1454,"slug":1455,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-08-02T05:48:07.395855",{"slug":1460,"name":1460,"fn":1461,"description":1462,"org":1463,"tags":1464,"stars":1479,"repoUrl":1480,"updatedAt":1481},"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},[1465,1468,1470,1473,1476],{"name":1466,"slug":1467,"type":15},".NET","dotnet",{"name":1469,"slug":1460,"type":15},"ASP.NET Core",{"name":1471,"slug":1472,"type":15},"Blazor","blazor",{"name":1474,"slug":1475,"type":15},"C#","csharp",{"name":1477,"slug":1478,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1483,"name":1483,"fn":1484,"description":1485,"org":1486,"tags":1487,"stars":1479,"repoUrl":1480,"updatedAt":1498},"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},[1488,1491,1494,1497],{"name":1489,"slug":1490,"type":15},"Apps SDK","apps-sdk",{"name":1492,"slug":1493,"type":15},"ChatGPT","chatgpt",{"name":1495,"slug":1496,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1500,"name":1500,"fn":1501,"description":1502,"org":1503,"tags":1504,"stars":1479,"repoUrl":1480,"updatedAt":1514},"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},[1505,1508,1511],{"name":1506,"slug":1507,"type":15},"API Development","api-development",{"name":1509,"slug":1510,"type":15},"CLI","cli",{"name":1512,"slug":1513,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1516,"name":1516,"fn":1517,"description":1518,"org":1519,"tags":1520,"stars":1479,"repoUrl":1480,"updatedAt":1533},"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},[1521,1524,1527,1530],{"name":1522,"slug":1523,"type":15},"Cloudflare","cloudflare",{"name":1525,"slug":1526,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1528,"slug":1529,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1531,"slug":1532,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1535,"name":1535,"fn":1536,"description":1537,"org":1538,"tags":1539,"stars":1479,"repoUrl":1480,"updatedAt":1552},"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},[1540,1543,1546,1549],{"name":1541,"slug":1542,"type":15},"Productivity","productivity",{"name":1544,"slug":1545,"type":15},"Project Management","project-management",{"name":1547,"slug":1548,"type":15},"Strategy","strategy",{"name":1550,"slug":1551,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1554,"name":1554,"fn":1555,"description":1556,"org":1557,"tags":1558,"stars":1479,"repoUrl":1480,"updatedAt":1568},"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},[1559,1562,1564,1567],{"name":1560,"slug":1561,"type":15},"Design","design",{"name":1563,"slug":1554,"type":15},"Figma",{"name":1565,"slug":1566,"type":15},"Frontend","frontend",{"name":1495,"slug":1496,"type":15},"2026-04-12T05:06:47.939943",{"slug":1570,"name":1570,"fn":1571,"description":1572,"org":1573,"tags":1574,"stars":1479,"repoUrl":1480,"updatedAt":1584},"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},[1575,1576,1579,1580,1581],{"name":1560,"slug":1561,"type":15},{"name":1577,"slug":1578,"type":15},"Design System","design-system",{"name":1563,"slug":1554,"type":15},{"name":1565,"slug":1566,"type":15},{"name":1582,"slug":1583,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1586,"name":1586,"fn":1587,"description":1588,"org":1589,"tags":1590,"stars":1479,"repoUrl":1480,"updatedAt":1598},"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},[1591,1592,1593,1596,1597],{"name":1560,"slug":1561,"type":15},{"name":1577,"slug":1578,"type":15},{"name":1594,"slug":1595,"type":15},"Documentation","documentation",{"name":1563,"slug":1554,"type":15},{"name":1565,"slug":1566,"type":15},"2026-05-16T06:07:47.821474",{"slug":1600,"name":1600,"fn":1601,"description":1602,"org":1603,"tags":1604,"stars":1479,"repoUrl":1480,"updatedAt":1610},"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},[1605,1606,1607,1608,1609],{"name":1560,"slug":1561,"type":15},{"name":1563,"slug":1554,"type":15},{"name":1565,"slug":1566,"type":15},{"name":1582,"slug":1583,"type":15},{"name":1477,"slug":1478,"type":15},"2026-05-16T06:07:40.583615",{"slug":1612,"name":1612,"fn":1613,"description":1614,"org":1615,"tags":1616,"stars":1479,"repoUrl":1480,"updatedAt":1625},"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},[1617,1620,1621,1624],{"name":1618,"slug":1619,"type":15},"Animation","animation",{"name":1512,"slug":1513,"type":15},{"name":1622,"slug":1623,"type":15},"Creative","creative",{"name":1560,"slug":1561,"type":15},"2026-05-02T05:31:48.48485",{"slug":1627,"name":1627,"fn":1628,"description":1629,"org":1630,"tags":1631,"stars":1479,"repoUrl":1480,"updatedAt":1641},"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},[1632,1633,1634,1637,1640],{"name":1622,"slug":1623,"type":15},{"name":1560,"slug":1561,"type":15},{"name":1635,"slug":1636,"type":15},"Image Generation","image-generation",{"name":1638,"slug":1639,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",578,{"items":1644,"total":1740},[1645,1662,1676,1688,1703,1716,1728],{"slug":1646,"name":1646,"fn":1647,"description":1648,"org":1649,"tags":1650,"stars":25,"repoUrl":26,"updatedAt":1661},"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},[1651,1654,1657,1660],{"name":1652,"slug":1653,"type":15},"Accessibility","accessibility",{"name":1655,"slug":1656,"type":15},"Charts","charts",{"name":1658,"slug":1659,"type":15},"Data Visualization","data-visualization",{"name":1560,"slug":1561,"type":15},"2026-06-30T19:00:57.102",{"slug":1663,"name":1663,"fn":1664,"description":1665,"org":1666,"tags":1667,"stars":25,"repoUrl":26,"updatedAt":1675},"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},[1668,1669,1672],{"name":1622,"slug":1623,"type":15},{"name":1670,"slug":1671,"type":15},"Editing","editing",{"name":1673,"slug":1674,"type":15},"Imaging","imaging","2026-08-28T15:09:11.185865",{"slug":1677,"name":1677,"fn":1678,"description":1679,"org":1680,"tags":1681,"stars":25,"repoUrl":26,"updatedAt":1687},"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},[1682,1683,1684],{"name":1622,"slug":1623,"type":15},{"name":1560,"slug":1561,"type":15},{"name":1685,"slug":1686,"type":15},"Graphics","graphics","2026-08-28T15:09:07.42507",{"slug":1689,"name":1689,"fn":1690,"description":1691,"org":1692,"tags":1693,"stars":25,"repoUrl":26,"updatedAt":1702},"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},[1694,1695,1696,1699],{"name":1622,"slug":1623,"type":15},{"name":1685,"slug":1686,"type":15},{"name":1697,"slug":1698,"type":15},"Marketing","marketing",{"name":1700,"slug":1701,"type":15},"Social Media","social-media","2026-08-28T15:10:07.282096",{"slug":1704,"name":1704,"fn":1705,"description":1706,"org":1707,"tags":1708,"stars":25,"repoUrl":26,"updatedAt":1715},"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},[1709,1710,1711,1712],{"name":1622,"slug":1623,"type":15},{"name":1560,"slug":1561,"type":15},{"name":1685,"slug":1686,"type":15},{"name":1713,"slug":1714,"type":15},"Templates","templates","2026-08-28T15:10:03.050113",{"slug":1717,"name":1717,"fn":1718,"description":1719,"org":1720,"tags":1721,"stars":25,"repoUrl":26,"updatedAt":1727},"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},[1722,1723,1724],{"name":1622,"slug":1623,"type":15},{"name":1670,"slug":1671,"type":15},{"name":1725,"slug":1726,"type":15},"Video","video","2026-08-28T15:09:07.765245",{"slug":1729,"name":1729,"fn":1730,"description":1731,"org":1732,"tags":1733,"stars":25,"repoUrl":26,"updatedAt":1739},"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},[1734,1735,1736],{"name":1622,"slug":1623,"type":15},{"name":1673,"slug":1674,"type":15},{"name":1737,"slug":1738,"type":15},"Photography","photography","2026-08-28T15:09:10.386974",499]