[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-equity-model-update":3,"mdc-sab1ii-key":36,"related-org-openai-equity-model-update":1005,"related-repo-openai-equity-model-update":1212},{"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},"equity-model-update","update public company Excel models","Safely update public-company Excel model copies from source-to-model maps; emits XLSX as the hero artifact and CSV\u002Flog\u002Fmanifest as support. Do not use for pure earnings notes or broad workbook audits.",{"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},"Financial Modeling","financial-modeling","tag",{"name":17,"slug":18,"type":15},"Excel","excel",{"name":20,"slug":21,"type":15},"Finance","finance",{"name":23,"slug":24,"type":15},"Spreadsheets","spreadsheets",4888,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-08-28T15:09:58.422339",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\u002Fequity-model-update","---\nname: equity-model-update\ndescription: Safely update public-company Excel model copies from source-to-model maps; emits XLSX as the hero artifact and CSV\u002Flog\u002Fmanifest as support. Do not use for pure earnings notes or broad workbook audits.\n---\n\n# Equity Model Update\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- `Portfolio Models & Trackers`\n- `Company Filings & IR`\n- `Market Data & Estimates`\n- `Earnings Transcripts & Events`\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\nUse this skill when the real job is updating a listed-equity model from reported actuals, guidance, consensus, transcript\u002FKPI disclosures, or user assumptions, then translating the changed lines into estimate revisions, valuation support, target-price implications, and PM action.\n\n## Use When\n\nUse this skill to refresh public-company model inputs as a controlled source-to-model process. It owns safe copied-workbook updates, source-to-model maps, change logs, stale\u002Fmissing data flags, pre\u002Fpost-print model update checklists, and support CSV artifacts.\n\nWhen an Excel model is supplied, default to a copied updated workbook or workbook control pack as the primary human deliverable. CSV, run-log, JSON citations, and manifest outputs are support artifacts. The user-facing handoff should lead with the updated `.xlsx` package, model implication, estimate-revision path, valuation\u002Ftarget-price read-through, source posture, changed\u002Fblocked cells, and update dashboard; for substantial reusable update packages, render an HTML dashboard\u002Freport alongside the workbook or hand off to the relevant workbook builder so the workbook `Cover` carries the insight view.\n\nFor dashboard handoffs, use `references\u002FDASHBOARD_PACK.md`. `equity-model-update` owns source-to-model mapping, changed-line interpretation, stale\u002Fmissing flags, and model implication, valuation read-through, and PM action implication; `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\u002Frun-log support files behind the HTML dashboard unless explicitly requested.\n\n## Do Not Use For\n\nUse neighboring skills for pure earnings notes, post-print interpretation, formula audits, raw cleanup, trade pitches, and memo prose.\n\n## When To Invoke Support\n\nLoad `shared\u002Fsupport-layer-routing-contract.md` when support services are needed. Use `financial-source-of-truth` for reported actuals, guidance, consensus, source timestamps, and claim labels. Use `financials-normalizer` before building the source-to-model map from messy release tables, transcript KPI tables, segment schedules, share-count support, net debt, or capital allocation data. Use `excel-data-cleaner` before relying on malformed model-update exports. Use `model-audit-tieout` for formula integrity, recalc\u002Fcache state, external links, circularity, and final tie-out. Support artifacts stay secondary to the copied workbook\u002Fcontrol pack and update dashboard.\n\n## Workflow\n\n1. Identify company, period, event, user model status, and decision.\n2. Use user files first, company primary sources next, connected consensus\u002Fmarket data when available, then public fallback.\n3. Label numbers as reported actual, guidance, consensus, user estimate, agent estimate, market-implied, inferred, or judgment.\n4. Map each source metric to a model line and assign `mapping_treatment` before calculating a delta: `safe_update` for true input updates, `reference_only` for facts that inform the review but cannot replace a model input, `missing_model_architecture` when the workbook lacks the required schedule, `assumption_required` when an investor judgment is needed, or `rebuild_required` when the model cannot express the update safely. Only `safe_update` rows may populate proposed model values or estimate-change deltas.\n5. For EPS model lines, separate reported GAAP EPS, adjusted\u002Foperating EPS, recurring EPS drivers, tax\u002Fshare-count effects, and below-the-line\u002Fnon-recurring items before updating forward EPS.\n6. If a workbook is supplied, run a preflight and write only to a copied workbook. Never mutate the original workbook. Update mapped non-formula input cells only when sheet\u002Fcell, prior value, new value, source ID, freshness, and confidence are sufficient.\n7. If workbook editing is unsafe, under-mapped, protected, formula-targeted, stale, or ambiguous, create a workbook-based control pack with `Update_Cover`, `Source_Map`, `Rebuild_Requirements`, `Change_Log`, `Tie_Out`, and `Stale_Data` review tabs instead of editing model cells.\n8. When the supplied workbook lacks the operating schedules required for an estimate refresh, state that refreshed estimates and valuation are unavailable, retain cached legacy valuation only as a stale reference, and identify the missing architecture or rebuild requirements. Do not present reported quarterly metrics or net-cash reference facts as changes to an annual DCF output formula.\n9. Surface recalc\u002Fcache warnings: formula workbook versus cached values, stale workbook calculation state, external links, formula overwrite risk, source timestamp, and whether Excel\u002FSheets recalculation is still required. Require recalculation after copied input edits that affect formulas; do not require recalculation merely because an unchanged control-pack workbook contains cached formula values. Never imply formulas were recalculated if the runtime only inspected cached values or edited copied input cells.\n10. Route formula integrity, external-link checks, circularity, final tie-out, and rebuilt model work to `model-audit-tieout`, DCF, three-statement, comps, or public-model builders as appropriate.\n11. When a final presentation workbook is restyled, renamed, or exported after materialization, make that final `.xlsx` the only user-facing primary workbook. Update `run_log.json`, `manifest.json`, and `model_update_citations.json` to point to the final workbook and its final sheet names before handoff; do not lead with an unstyled intermediate control pack.\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: new source extraction, estimate\u002Fguidance deltas, model input changes, source labels, and change-log QA. Keep this skill as the lead: reconcile conflicts, source labels, assumptions, open items, final QA, and the user-facing answer.\n\n\n## Executable Contract\n\nSafe copied-workbook helper:\n\n```bash\npython scripts\u002Fmaterialize_workbook_update.py input.csv --workbook uploaded_model.xlsx --out output\n```\n\nDefault workbook modes:\n\n- `xlsx_update_copy`: updates safe mapped input cells in `updated_model.xlsx`.\n- `xlsx_control_pack`: preserves model cells, opens on the `Update_Cover` review tab, and adds review tabs in `model_update_control_pack.xlsx`.\n- `csv_update_map_export`: mapping\u002Flog fallback when no workbook is supplied or the user explicitly asks for support artifacts only.\n\nSupport-only helper:\n\n```bash\npython scripts\u002Fmaterialize_model_update.py input.csv --out output\n```\n\nWorkbook outputs: `updated_model.xlsx` or `model_update_control_pack.xlsx`, plus `source_to_model.csv`, `change_log.csv`, `tieout_checklist.csv`, `model_update_citations.json`, `run_log.json`, and `manifest.json`. The manifest marks the workbook as `primary_human_deliverable`; if a polished successor workbook is exported, promote that successor consistently across the manifest, run log, and model citations.\n\nThe workbook helper reports `calc_chain_present`, `formula_cell_count`, `cached_formula_value_count`, `calc_mode`, and `recalc_required` in the run log and cover tab. It separately labels artifact readiness and model readiness: a completed control pack may be ready for review while the model remains not updated and requires mapping or rebuild. If mapped inputs are changed and formulas exist, treat downstream formula outputs as stale until Excel\u002FSheets recalculation and `model-audit-tieout` are complete.\n\nSupport-only outputs: `source_to_model.csv`, `change_log.csv`, `tieout_checklist.csv`, `run_log.json`, and `manifest.json`. The run log includes `status`, `model_status`, source basis, warnings, hard failures, output paths, and output manifest. Hard failures: missing `source_id`, missing `model_line`, malformed\u002Fempty input. Stale data is flagged.\n\n## Output Standard\n\nLead with the workbook artifact when a model was supplied. Include model implication, changed cells, blocked cells, source\u002Fdata-quality note, comparison table when available, KPI\u002Fmodel-driver dashboard, source map, change log, tie-out checklist, and post-print actions.\n\nReferences: `references\u002Fworkflow.md`, `references\u002Ftemplates.md`, `references\u002Fsector-kpis.md`, `references\u002Fexecutable-contract.md`.\n\n## Equity Valuation PM Standard\n\nLoad `shared\u002Fequity-valuation-pm-standard.md` and `shared\u002Fpm-judgment-heuristics.md` for substantial model, valuation, scenario, model-update, or audit work.\n\nThe output must state what the current stock price implies, the variant estimate path, whether upside is driven by fundamentals, multiple expansion, mix, capital return, sentiment, or event probability, what breaks first in downside, what changes target, rating, sizing, hedge, trim, exit, or watchlist status, and what evidence is missing.\n\nKeep equity valuation as the center of gravity. Debt is allowed only as an input to common-equity value through net debt, cost of debt, leverage, liquidity, refinancing risk, or downside equity impairment. Use Credit Markets for bond comps, loan comps, CDS, spread\u002Fyield relative value, covenant-package analysis, debt-security valuation, recovery waterfall, restructuring valuation, creditworthiness, private-credit \u002F public-credit instrument underwriting, or distressed claim valuation.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,56,63,94,100,151,157,162,203,209,230,235,241,246,267,303,309,314,320,364,370,563,569,574,580,585,639,644,701,706,737,804,852,919,925,930,963,969,989,994,999],{"type":42,"tag":43,"props":44,"children":45},"element","h1",{"id":4},[46],{"type":47,"value":48},"text","Equity Model Update",{"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},{},[103,105,111,113,119,121,127,128,134,135,141,143,149],{"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},"company_filings_ir",{"type":47,"value":120},", ",{"type":42,"tag":70,"props":122,"children":124},{"className":123},[],[125],{"type":47,"value":126},"earnings_transcripts_presentations",{"type":47,"value":120},{"type":42,"tag":70,"props":129,"children":131},{"className":130},[],[132],{"type":47,"value":133},"internal_research",{"type":47,"value":120},{"type":42,"tag":70,"props":136,"children":138},{"className":137},[],[139],{"type":47,"value":140},"portfolio_models_trackers",{"type":47,"value":142},", and ",{"type":42,"tag":70,"props":144,"children":146},{"className":145},[],[147],{"type":47,"value":148},"market_data_estimates",{"type":47,"value":150},". 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":152,"children":154},{"id":153},"relevant-dependency-categories",[155],{"type":47,"value":156},"Relevant Dependency Categories",{"type":42,"tag":64,"props":158,"children":159},{},[160],{"type":47,"value":161},"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":163,"props":164,"children":165},"ul",{},[166,176,185,194],{"type":42,"tag":167,"props":168,"children":169},"li",{},[170],{"type":42,"tag":70,"props":171,"children":173},{"className":172},[],[174],{"type":47,"value":175},"Portfolio Models & Trackers",{"type":42,"tag":167,"props":177,"children":178},{},[179],{"type":42,"tag":70,"props":180,"children":182},{"className":181},[],[183],{"type":47,"value":184},"Company Filings & IR",{"type":42,"tag":167,"props":186,"children":187},{},[188],{"type":42,"tag":70,"props":189,"children":191},{"className":190},[],[192],{"type":47,"value":193},"Market Data & Estimates",{"type":42,"tag":167,"props":195,"children":196},{},[197],{"type":42,"tag":70,"props":198,"children":200},{"className":199},[],[201],{"type":47,"value":202},"Earnings Transcripts & Events",{"type":42,"tag":50,"props":204,"children":206},{"id":205},"deliverable-intake",[207],{"type":47,"value":208},"Deliverable Intake",{"type":42,"tag":64,"props":210,"children":211},{},[212,214,220,222,228],{"type":47,"value":213},"Before source gathering or analysis for a new substantive hero deliverable, load ",{"type":42,"tag":70,"props":215,"children":217},{"className":216},[],[218],{"type":47,"value":219},"..\u002F..\u002Fshared\u002Fdeliverable-intake-policy.md",{"type":47,"value":221}," and use its adaptive ",{"type":42,"tag":70,"props":223,"children":225},{"className":224},[],[226],{"type":47,"value":227},"request_user_input",{"type":47,"value":229}," 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":42,"tag":64,"props":231,"children":232},{},[233],{"type":47,"value":234},"Use this skill when the real job is updating a listed-equity model from reported actuals, guidance, consensus, transcript\u002FKPI disclosures, or user assumptions, then translating the changed lines into estimate revisions, valuation support, target-price implications, and PM action.",{"type":42,"tag":50,"props":236,"children":238},{"id":237},"use-when",[239],{"type":47,"value":240},"Use When",{"type":42,"tag":64,"props":242,"children":243},{},[244],{"type":47,"value":245},"Use this skill to refresh public-company model inputs as a controlled source-to-model process. It owns safe copied-workbook updates, source-to-model maps, change logs, stale\u002Fmissing data flags, pre\u002Fpost-print model update checklists, and support CSV artifacts.",{"type":42,"tag":64,"props":247,"children":248},{},[249,251,257,259,265],{"type":47,"value":250},"When an Excel model is supplied, default to a copied updated workbook or workbook control pack as the primary human deliverable. CSV, run-log, JSON citations, and manifest outputs are support artifacts. The user-facing handoff should lead with the updated ",{"type":42,"tag":70,"props":252,"children":254},{"className":253},[],[255],{"type":47,"value":256},".xlsx",{"type":47,"value":258}," package, model implication, estimate-revision path, valuation\u002Ftarget-price read-through, source posture, changed\u002Fblocked cells, and update dashboard; for substantial reusable update packages, render an HTML dashboard\u002Freport alongside the workbook or hand off to the relevant workbook builder so the workbook ",{"type":42,"tag":70,"props":260,"children":262},{"className":261},[],[263],{"type":47,"value":264},"Cover",{"type":47,"value":266}," carries the insight view.",{"type":42,"tag":64,"props":268,"children":269},{},[270,272,278,280,285,287,293,295,301],{"type":47,"value":271},"For dashboard handoffs, use ",{"type":42,"tag":70,"props":273,"children":275},{"className":274},[],[276],{"type":47,"value":277},"references\u002FDASHBOARD_PACK.md",{"type":47,"value":279},". ",{"type":42,"tag":70,"props":281,"children":283},{"className":282},[],[284],{"type":47,"value":4},{"type":47,"value":286}," owns source-to-model mapping, changed-line interpretation, stale\u002Fmissing flags, and model implication, valuation read-through, and PM action implication; ",{"type":42,"tag":70,"props":288,"children":290},{"className":289},[],[291],{"type":47,"value":292},"dashboard-builder",{"type":47,"value":294}," owns the shell\u002Frendering\u002FQA. Build a ",{"type":42,"tag":70,"props":296,"children":298},{"className":297},[],[299],{"type":47,"value":300},"public_equity_investing_dashboard.v1",{"type":47,"value":302}," payload as an internal renderer input, and keep JSON\u002FMarkdown\u002FCSV\u002Frun-log support files behind the HTML dashboard unless explicitly requested.",{"type":42,"tag":50,"props":304,"children":306},{"id":305},"do-not-use-for",[307],{"type":47,"value":308},"Do Not Use For",{"type":42,"tag":64,"props":310,"children":311},{},[312],{"type":47,"value":313},"Use neighboring skills for pure earnings notes, post-print interpretation, formula audits, raw cleanup, trade pitches, and memo prose.",{"type":42,"tag":50,"props":315,"children":317},{"id":316},"when-to-invoke-support",[318],{"type":47,"value":319},"When To Invoke Support",{"type":42,"tag":64,"props":321,"children":322},{},[323,324,330,332,338,340,346,348,354,356,362],{"type":47,"value":104},{"type":42,"tag":70,"props":325,"children":327},{"className":326},[],[328],{"type":47,"value":329},"shared\u002Fsupport-layer-routing-contract.md",{"type":47,"value":331}," when support services are needed. Use ",{"type":42,"tag":70,"props":333,"children":335},{"className":334},[],[336],{"type":47,"value":337},"financial-source-of-truth",{"type":47,"value":339}," for reported actuals, guidance, consensus, source timestamps, and claim labels. Use ",{"type":42,"tag":70,"props":341,"children":343},{"className":342},[],[344],{"type":47,"value":345},"financials-normalizer",{"type":47,"value":347}," before building the source-to-model map from messy release tables, transcript KPI tables, segment schedules, share-count support, net debt, or capital allocation data. Use ",{"type":42,"tag":70,"props":349,"children":351},{"className":350},[],[352],{"type":47,"value":353},"excel-data-cleaner",{"type":47,"value":355}," before relying on malformed model-update exports. Use ",{"type":42,"tag":70,"props":357,"children":359},{"className":358},[],[360],{"type":47,"value":361},"model-audit-tieout",{"type":47,"value":363}," for formula integrity, recalc\u002Fcache state, external links, circularity, and final tie-out. 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Only ",{"type":42,"tag":70,"props":443,"children":445},{"className":444},[],[446],{"type":47,"value":407},{"type":47,"value":448}," rows may populate proposed model values or estimate-change deltas.",{"type":42,"tag":167,"props":450,"children":451},{},[452],{"type":47,"value":453},"For EPS model lines, separate reported GAAP EPS, adjusted\u002Foperating EPS, recurring EPS drivers, tax\u002Fshare-count effects, and below-the-line\u002Fnon-recurring items before updating forward EPS.",{"type":42,"tag":167,"props":455,"children":456},{},[457],{"type":47,"value":458},"If a workbook is supplied, run a preflight and write only to a copied workbook. Never mutate the original workbook. 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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},[1057,1060,1063,1066],{"name":1058,"slug":1059,"type":15},"Apps SDK","apps-sdk",{"name":1061,"slug":1062,"type":15},"ChatGPT","chatgpt",{"name":1064,"slug":1065,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1069,"name":1069,"fn":1070,"description":1071,"org":1072,"tags":1073,"stars":1048,"repoUrl":1049,"updatedAt":1083},"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},[1074,1077,1080],{"name":1075,"slug":1076,"type":15},"API Development","api-development",{"name":1078,"slug":1079,"type":15},"CLI","cli",{"name":1081,"slug":1082,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1085,"name":1085,"fn":1086,"description":1087,"org":1088,"tags":1089,"stars":1048,"repoUrl":1049,"updatedAt":1102},"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},[1090,1093,1096,1099],{"name":1091,"slug":1092,"type":15},"Cloudflare","cloudflare",{"name":1094,"slug":1095,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1097,"slug":1098,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1100,"slug":1101,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1104,"name":1104,"fn":1105,"description":1106,"org":1107,"tags":1108,"stars":1048,"repoUrl":1049,"updatedAt":1121},"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},[1109,1112,1115,1118],{"name":1110,"slug":1111,"type":15},"Productivity","productivity",{"name":1113,"slug":1114,"type":15},"Project Management","project-management",{"name":1116,"slug":1117,"type":15},"Strategy","strategy",{"name":1119,"slug":1120,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1123,"name":1123,"fn":1124,"description":1125,"org":1126,"tags":1127,"stars":1048,"repoUrl":1049,"updatedAt":1137},"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},[1128,1131,1133,1136],{"name":1129,"slug":1130,"type":15},"Design","design",{"name":1132,"slug":1123,"type":15},"Figma",{"name":1134,"slug":1135,"type":15},"Frontend","frontend",{"name":1064,"slug":1065,"type":15},"2026-04-12T05:06:47.939943",{"slug":1139,"name":1139,"fn":1140,"description":1141,"org":1142,"tags":1143,"stars":1048,"repoUrl":1049,"updatedAt":1153},"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},[1144,1145,1148,1149,1150],{"name":1129,"slug":1130,"type":15},{"name":1146,"slug":1147,"type":15},"Design System","design-system",{"name":1132,"slug":1123,"type":15},{"name":1134,"slug":1135,"type":15},{"name":1151,"slug":1152,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1155,"name":1155,"fn":1156,"description":1157,"org":1158,"tags":1159,"stars":1048,"repoUrl":1049,"updatedAt":1167},"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},[1160,1161,1162,1165,1166],{"name":1129,"slug":1130,"type":15},{"name":1146,"slug":1147,"type":15},{"name":1163,"slug":1164,"type":15},"Documentation","documentation",{"name":1132,"slug":1123,"type":15},{"name":1134,"slug":1135,"type":15},"2026-05-16T06:07:47.821474",{"slug":1169,"name":1169,"fn":1170,"description":1171,"org":1172,"tags":1173,"stars":1048,"repoUrl":1049,"updatedAt":1179},"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},[1174,1175,1176,1177,1178],{"name":1129,"slug":1130,"type":15},{"name":1132,"slug":1123,"type":15},{"name":1134,"slug":1135,"type":15},{"name":1151,"slug":1152,"type":15},{"name":1046,"slug":1047,"type":15},"2026-05-16T06:07:40.583615",{"slug":1181,"name":1181,"fn":1182,"description":1183,"org":1184,"tags":1185,"stars":1048,"repoUrl":1049,"updatedAt":1194},"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},[1186,1189,1190,1193],{"name":1187,"slug":1188,"type":15},"Animation","animation",{"name":1081,"slug":1082,"type":15},{"name":1191,"slug":1192,"type":15},"Creative","creative",{"name":1129,"slug":1130,"type":15},"2026-05-02T05:31:48.48485",{"slug":1196,"name":1196,"fn":1197,"description":1198,"org":1199,"tags":1200,"stars":1048,"repoUrl":1049,"updatedAt":1210},"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},[1201,1202,1203,1206,1209],{"name":1191,"slug":1192,"type":15},{"name":1129,"slug":1130,"type":15},{"name":1204,"slug":1205,"type":15},"Image Generation","image-generation",{"name":1207,"slug":1208,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",578,{"items":1213,"total":1309},[1214,1231,1245,1257,1272,1285,1297],{"slug":1215,"name":1215,"fn":1216,"description":1217,"org":1218,"tags":1219,"stars":25,"repoUrl":26,"updatedAt":1230},"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},[1220,1223,1226,1229],{"name":1221,"slug":1222,"type":15},"Accessibility","accessibility",{"name":1224,"slug":1225,"type":15},"Charts","charts",{"name":1227,"slug":1228,"type":15},"Data Visualization","data-visualization",{"name":1129,"slug":1130,"type":15},"2026-06-30T19:00:57.102",{"slug":1232,"name":1232,"fn":1233,"description":1234,"org":1235,"tags":1236,"stars":25,"repoUrl":26,"updatedAt":1244},"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},[1237,1238,1241],{"name":1191,"slug":1192,"type":15},{"name":1239,"slug":1240,"type":15},"Editing","editing",{"name":1242,"slug":1243,"type":15},"Imaging","imaging","2026-08-28T15:09:11.185865",{"slug":1246,"name":1246,"fn":1247,"description":1248,"org":1249,"tags":1250,"stars":25,"repoUrl":26,"updatedAt":1256},"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},[1251,1252,1253],{"name":1191,"slug":1192,"type":15},{"name":1129,"slug":1130,"type":15},{"name":1254,"slug":1255,"type":15},"Graphics","graphics","2026-08-28T15:09:07.42507",{"slug":1258,"name":1258,"fn":1259,"description":1260,"org":1261,"tags":1262,"stars":25,"repoUrl":26,"updatedAt":1271},"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},[1263,1264,1265,1268],{"name":1191,"slug":1192,"type":15},{"name":1254,"slug":1255,"type":15},{"name":1266,"slug":1267,"type":15},"Marketing","marketing",{"name":1269,"slug":1270,"type":15},"Social Media","social-media","2026-08-28T15:10:07.282096",{"slug":1273,"name":1273,"fn":1274,"description":1275,"org":1276,"tags":1277,"stars":25,"repoUrl":26,"updatedAt":1284},"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},[1278,1279,1280,1281],{"name":1191,"slug":1192,"type":15},{"name":1129,"slug":1130,"type":15},{"name":1254,"slug":1255,"type":15},{"name":1282,"slug":1283,"type":15},"Templates","templates","2026-08-28T15:10:03.050113",{"slug":1286,"name":1286,"fn":1287,"description":1288,"org":1289,"tags":1290,"stars":25,"repoUrl":26,"updatedAt":1296},"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},[1291,1292,1293],{"name":1191,"slug":1192,"type":15},{"name":1239,"slug":1240,"type":15},{"name":1294,"slug":1295,"type":15},"Video","video","2026-08-28T15:09:07.765245",{"slug":1298,"name":1298,"fn":1299,"description":1300,"org":1301,"tags":1302,"stars":25,"repoUrl":26,"updatedAt":1308},"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},[1303,1304,1305],{"name":1191,"slug":1192,"type":15},{"name":1242,"slug":1243,"type":15},{"name":1306,"slug":1307,"type":15},"Photography","photography","2026-08-28T15:09:10.386974",499]