[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-build-model":3,"mdc-qpfnf4-key":36,"related-repo-openai-build-model":1055,"related-org-openai-build-model":1178},{"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},"build-model","build multi-tab Excel financial models","Build a multi-tab Excel financial model",{"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",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdaloopa\u002Fskills\u002Fbuild-model","---\nname: build-model\ndescription: Build a multi-tab Excel financial model\n---\n\nBuild a comprehensive Excel financial model (.xlsx) for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding.\n\n**Before starting, read `..\u002Fdata-access.md` for data access methods and `..\u002Fdesign-system.md` for formatting conventions.** Follow the data access detection logic and design system throughout this skill.\n\nThis skill gathers all available financial data and builds a multi-tab Excel model saved as `reports\u002F{TICKER}_model.xlsx`.\n\n## Phase 1 — Company Setup\nLook up the company by ticker using `discover_companies`. Capture:\n- `company_id`\n- `latest_calendar_quarter` — anchor for all period calculations (see `..\u002Fdata-access.md` Section 1.5)\n- `latest_fiscal_quarter`\n- Firm name for report attribution (default: \"Daloopa\") — see `..\u002Fdata-access.md` Section 4.5\n\nGet current stock price, market cap, shares outstanding, beta, and trading multiples for {TICKER}. Use the 3-step resolution: (1) MCP market data tools if available, (2) web search, (3) sensible defaults (see `..\u002Fdata-access.md` Section 2).\n\n## Phase 2 — Comprehensive Data Pull\nCalculate periods backward from `latest_calendar_quarter`. Pull as much data as Daloopa has for this company. Target 8-16 quarters.\n\n**Income Statement — search and pull all available:**\n- Revenue \u002F Net Sales\n- Cost of Revenue \u002F COGS\n- Gross Profit\n- Research & Development\n- Selling, General & Administrative\n- Total Operating Expenses\n- Operating Income\n- Interest Expense \u002F Income\n- Pre-tax Income\n- Tax Expense\n- Net Income\n- Diluted EPS\n- Diluted Shares Outstanding\n- EBITDA (or compute from Op Income + D&A)\n- D&A\n\n**Balance Sheet — search and pull all available:**\n- Cash and Equivalents\n- Short-term Investments\n- Accounts Receivable\n- Inventory\n- Total Current Assets\n- PP&E (net)\n- Goodwill\n- Total Assets\n- Accounts Payable\n- Short-term Debt\n- Long-term Debt\n- Total Liabilities\n- Total Equity\n\n**Cash Flow — search and pull all available:**\n- Operating Cash Flow\n- Capital Expenditures\n- Depreciation & Amortization\n- Acquisitions\n- Dividends Paid\n- Share Repurchases\n- Free Cash Flow (compute if not direct)\n\n**Segments:**\n- Revenue by segment\n- Operating income by segment (if available)\n\n**KPIs:**\n- All company-specific operating metrics\n\n**Guidance:**\n- All guidance series and corresponding actuals\n\n## Phase 3 — Market Data & Peers\n- Identify 5-8 peers and get their trading multiples using the same 3-step resolution: (1) MCP market data tools, (2) web search, (3) sensible defaults\n- Get risk-free rate using the same 3-step resolution\n- If consensus forward estimates are available (`..\u002Fdata-access.md` Section 3), include NTM estimates for peers\n\n## Phase 4 — Projections\nBuild forward estimates using the following methodology:\n- **Revenue:** Start with latest guidance (if available), then decay to long-term growth rate (industry average or historical trend). Apply quarterly seasonality patterns from trailing data.\n- **Gross Margin:** Mean-revert to trailing 8-quarter average, with adjustment for recent trends or guidance commentary.\n- **Operating Expenses:** Project as % of revenue, trending toward trailing averages. R&D and SG&A may have different trajectories.\n- **CapEx:** Project as % of revenue based on trailing 4-8 quarter average and guidance.\n- **D&A:** Project based on trailing average as % of revenue or PP&E.\n- **Tax Rate:** Use trailing effective tax rate or guidance.\n- **Share Count:** Project dilution\u002Fbuyback based on trailing trends and guidance.\n- **Working Capital:** Project DSO, DIO, DPO based on trailing averages.\n\nCalculate all quarterly projections, then sum to annual. Project 4-8 quarters forward.\n\n## Phase 5 — DCF Inputs\nCalculate:\n- **WACC:** Use CAPM for cost of equity (Rf + Beta × ERP, where ERP = 6.0%). Cost of debt = Interest Expense \u002F Total Debt. WACC = (E\u002FV × Re) + (D\u002FV × Rd × (1 - Tax Rate)).\n- **5-year FCF projections:** Annualize from quarterly projections (FCF = Op Cash Flow - CapEx).\n- **Terminal Value:** Use perpetuity growth at 2.5-3.0%.\n- **Sensitivity Matrix:** WACC (7 values: -3% to +3% from base) × Terminal Growth (6 values: 1.5% to 4.0%).\n\n## Phase 6 — Build Excel Model\nGenerate the `.xlsx` file directly using the best available spreadsheet-generation workflow. For Codex, prefer bundled spreadsheet tooling or Python\u002Fopenpyxl when available. The workbook should:\n\n1. Create 8 tabs with the following structure:\n\n**Tab 1: Income Statement**\n- Rows: Revenue, COGS, Gross Profit, R&D, SG&A, Total OpEx, Op Income, Interest, Pre-Tax Income, Tax, Net Income, Diluted EPS, Shares\n- Columns: Historical periods (8-16Q) + Projected periods (4-8Q)\n- Sub-rows: YoY growth %, margin % where applicable\n- Header: Company name, ticker, report date\n- Formatting: Numbers with commas\u002Fdecimals, percentages, bold headers, frozen panes\n\n**Tab 2: Balance Sheet**\n- Rows: Assets section (Cash, Investments, AR, Inventory, Current Assets, PP&E, Goodwill, Total Assets), Liabilities section (AP, ST Debt, LT Debt, Total Liabilities, Equity)\n- Columns: Historical + Projected periods\n- Sub-rows: % of Total Assets for key line items\n- Same formatting standards\n\n**Tab 3: Cash Flow**\n- Rows: Op Cash Flow, CapEx, Free Cash Flow, Acquisitions, Dividends, Buybacks, Net Change in Cash\n- Columns: Historical + Projected periods\n- Sub-rows: FCF yield %, CapEx as % Revenue\n- Same formatting standards\n\n**Tab 4: Segments**\n- Rows: Revenue by segment, Op Income by segment (if available)\n- Columns: Historical + Projected periods\n- Sub-rows: Segment as % of total, segment growth rates\n- Same formatting standards\n\n**Tab 5: KPIs**\n- Rows: All company-specific operating metrics discovered\n- Columns: Historical + Projected periods\n- Sub-rows: YoY growth or relevant unit economics\n- Same formatting standards\n\n**Tab 6: Projections**\n- Editable assumption inputs (yellow highlighting): Revenue growth %, Gross margin %, Op margin %, CapEx % revenue, Tax rate %, Buyback rate QoQ\n- Calculated outputs: Projected P&L, BS, CF driven by assumptions\n- Commentary box explaining methodology\n- Same formatting standards\n\n**Tab 7: DCF**\n- Inputs: WACC, Terminal Growth, Risk-Free Rate, ERP, Beta, Cost of Debt\n- FCF Projection (5 years annualized)\n- Terminal Value calculation\n- PV calculations\n- Enterprise Value → Equity Value → Implied Share Price\n- Sensitivity table: WACC (rows) × Terminal Growth (cols) showing implied price\n- Color scale: green (upside) to red (downside) vs current price\n- Same formatting standards\n\n**Tab 8: Summary**\n- Company overview (name, ticker, sector, description)\n- Current market data (price, market cap, shares, beta)\n- Valuation summary: DCF implied price, peer-implied range, current price, upside\u002Fdownside %\n- Peer trading multiples table\n- Key model outputs: Trailing revenue, Projected revenue growth, Trailing\u002FProjected margins\n- Same formatting standards\n\n2. Apply `..\u002Fdesign-system.md` formatting conventions:\n- Number format: $X.Xbn for large numbers, X.X% for percentages, X.Xx for multiples\n- Color palette: Navy #1B2A4A (headers), Steel Blue #4A6FA5 (sub-headers), Gold #C5A55A (highlights), Green #27AE60 (positive), Red #C0392B (negative)\n- Bold headers, frozen top row and left column\n- Yellow fill (#FFEB3B) for editable input cells\n\n3. Save the workbook as `reports\u002F{TICKER}_model.xlsx`\n\n## Output\nSave the generated workbook to `reports\u002F{TICKER}_model.xlsx` and tell the user:\n- Summary of what tabs were built\n- Key model outputs: trailing revenue, projected revenue growth, implied DCF value, peer-implied range\n- Note that yellow cells in the Projections tab are editable inputs\n- Instruction to open the saved `.xlsx` file\n\nAll financial figures gathered must use Daloopa citation format: [$X.XX million](https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F{fundamental_id})\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,77,90,97,110,163,175,181,193,201,279,287,355,363,401,409,422,430,438,446,454,460,485,491,496,579,584,590,595,638,644,657,666,674,702,710,733,741,762,770,791,799,820,828,850,858,900,908,940,956,979,993,999,1011,1041],{"type":42,"tag":43,"props":44,"children":45},"element","p",{},[46],{"type":47,"value":48},"text","Build a comprehensive Excel financial model (.xlsx) for the company named in the user's request. 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",{"type":42,"tag":59,"props":989,"children":991},{"className":990},[],[992],{"type":47,"value":87},{"type":42,"tag":91,"props":994,"children":996},{"id":995},"output",[997],{"type":47,"value":998},"Output",{"type":42,"tag":43,"props":1000,"children":1001},{},[1002,1004,1009],{"type":47,"value":1003},"Save the generated workbook to ",{"type":42,"tag":59,"props":1005,"children":1007},{"className":1006},[],[1008],{"type":47,"value":87},{"type":47,"value":1010}," and tell the user:",{"type":42,"tag":111,"props":1012,"children":1013},{},[1014,1019,1024,1029],{"type":42,"tag":115,"props":1015,"children":1016},{},[1017],{"type":47,"value":1018},"Summary of what tabs were built",{"type":42,"tag":115,"props":1020,"children":1021},{},[1022],{"type":47,"value":1023},"Key model outputs: trailing revenue, projected revenue growth, implied DCF value, peer-implied range",{"type":42,"tag":115,"props":1025,"children":1026},{},[1027],{"type":47,"value":1028},"Note that yellow cells in the Projections tab are editable inputs",{"type":42,"tag":115,"props":1030,"children":1031},{},[1032,1034,1039],{"type":47,"value":1033},"Instruction to open the saved ",{"type":42,"tag":59,"props":1035,"children":1037},{"className":1036},[],[1038],{"type":47,"value":654},{"type":47,"value":1040}," file",{"type":42,"tag":43,"props":1042,"children":1043},{},[1044,1046],{"type":47,"value":1045},"All financial figures gathered must use Daloopa citation format: ",{"type":42,"tag":1047,"props":1048,"children":1052},"a",{"href":1049,"rel":1050},"https:\u002F\u002Fdaloopa.com\u002Fsrc\u002F%7Bfundamental_id%7D",[1051],"nofollow",[1053],{"type":47,"value":1054},"$X.XX million",{"items":1056,"total":1177},[1057,1075,1091,1103,1123,1145,1165],{"slug":1058,"name":1058,"fn":1059,"description":1060,"org":1061,"tags":1062,"stars":25,"repoUrl":26,"updatedAt":27},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1063,1066,1069,1072],{"name":1064,"slug":1065,"type":15},"Accessibility","accessibility",{"name":1067,"slug":1068,"type":15},"Charts","charts",{"name":1070,"slug":1071,"type":15},"Data Visualization","data-visualization",{"name":1073,"slug":1074,"type":15},"Design","design",{"slug":1076,"name":1076,"fn":1077,"description":1078,"org":1079,"tags":1080,"stars":25,"repoUrl":26,"updatedAt":1090},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1081,1084,1087],{"name":1082,"slug":1083,"type":15},"Agents","agents",{"name":1085,"slug":1086,"type":15},"Browser Automation","browser-automation",{"name":1088,"slug":1089,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":1092,"name":1092,"fn":1093,"description":1094,"org":1095,"tags":1096,"stars":25,"repoUrl":26,"updatedAt":1102},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1097,1098,1101],{"name":1085,"slug":1086,"type":15},{"name":1099,"slug":1100,"type":15},"Local Development","local-development",{"name":1088,"slug":1089,"type":15},"2026-04-06T18:41:17.526867",{"slug":1104,"name":1104,"fn":1105,"description":1106,"org":1107,"tags":1108,"stars":25,"repoUrl":26,"updatedAt":1122},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1109,1110,1113,1116,1119],{"name":1082,"slug":1083,"type":15},{"name":1111,"slug":1112,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1114,"slug":1115,"type":15},"SDK","sdk",{"name":1117,"slug":1118,"type":15},"Serverless","serverless",{"name":1120,"slug":1121,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1124,"name":1124,"fn":1125,"description":1126,"org":1127,"tags":1128,"stars":25,"repoUrl":26,"updatedAt":1144},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1129,1132,1135,1138,1141],{"name":1130,"slug":1131,"type":15},"Frontend","frontend",{"name":1133,"slug":1134,"type":15},"React","react",{"name":1136,"slug":1137,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1139,"slug":1140,"type":15},"UI Components","ui-components",{"name":1142,"slug":1143,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1146,"name":1146,"fn":1147,"description":1148,"org":1149,"tags":1150,"stars":25,"repoUrl":26,"updatedAt":1164},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1151,1154,1157,1160,1163],{"name":1152,"slug":1153,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1155,"slug":1156,"type":15},"Cost Optimization","cost-optimization",{"name":1158,"slug":1159,"type":15},"LLM","llm",{"name":1161,"slug":1162,"type":15},"Performance","performance",{"name":1142,"slug":1143,"type":15},"2026-04-06T18:40:44.377464",{"slug":1166,"name":1166,"fn":1167,"description":1168,"org":1169,"tags":1170,"stars":25,"repoUrl":26,"updatedAt":1176},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1171,1172,1175],{"name":1155,"slug":1156,"type":15},{"name":1173,"slug":1174,"type":15},"Database","database",{"name":1158,"slug":1159,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1179,"total":1376},[1180,1201,1224,1241,1257,1274,1293,1305,1319,1333,1345,1360],{"slug":1181,"name":1181,"fn":1182,"description":1183,"org":1184,"tags":1185,"stars":1198,"repoUrl":1199,"updatedAt":1200},"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},[1186,1189,1192,1195],{"name":1187,"slug":1188,"type":15},"Documents","documents",{"name":1190,"slug":1191,"type":15},"Healthcare","healthcare",{"name":1193,"slug":1194,"type":15},"Insurance","insurance",{"name":1196,"slug":1197,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1202,"name":1202,"fn":1203,"description":1204,"org":1205,"tags":1206,"stars":1221,"repoUrl":1222,"updatedAt":1223},"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},[1207,1210,1212,1215,1218],{"name":1208,"slug":1209,"type":15},".NET","dotnet",{"name":1211,"slug":1202,"type":15},"ASP.NET Core",{"name":1213,"slug":1214,"type":15},"Blazor","blazor",{"name":1216,"slug":1217,"type":15},"C#","csharp",{"name":1219,"slug":1220,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1225,"name":1225,"fn":1226,"description":1227,"org":1228,"tags":1229,"stars":1221,"repoUrl":1222,"updatedAt":1240},"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},[1230,1233,1236,1239],{"name":1231,"slug":1232,"type":15},"Apps SDK","apps-sdk",{"name":1234,"slug":1235,"type":15},"ChatGPT","chatgpt",{"name":1237,"slug":1238,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1242,"name":1242,"fn":1243,"description":1244,"org":1245,"tags":1246,"stars":1221,"repoUrl":1222,"updatedAt":1256},"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},[1247,1250,1253],{"name":1248,"slug":1249,"type":15},"API Development","api-development",{"name":1251,"slug":1252,"type":15},"CLI","cli",{"name":1254,"slug":1255,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1258,"name":1258,"fn":1259,"description":1260,"org":1261,"tags":1262,"stars":1221,"repoUrl":1222,"updatedAt":1273},"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},[1263,1266,1269,1270],{"name":1264,"slug":1265,"type":15},"Cloudflare","cloudflare",{"name":1267,"slug":1268,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1111,"slug":1112,"type":15},{"name":1271,"slug":1272,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1275,"name":1275,"fn":1276,"description":1277,"org":1278,"tags":1279,"stars":1221,"repoUrl":1222,"updatedAt":1292},"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},[1280,1283,1286,1289],{"name":1281,"slug":1282,"type":15},"Productivity","productivity",{"name":1284,"slug":1285,"type":15},"Project Management","project-management",{"name":1287,"slug":1288,"type":15},"Strategy","strategy",{"name":1290,"slug":1291,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1294,"name":1294,"fn":1295,"description":1296,"org":1297,"tags":1298,"stars":1221,"repoUrl":1222,"updatedAt":1304},"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},[1299,1300,1302,1303],{"name":1073,"slug":1074,"type":15},{"name":1301,"slug":1294,"type":15},"Figma",{"name":1130,"slug":1131,"type":15},{"name":1237,"slug":1238,"type":15},"2026-04-12T05:06:47.939943",{"slug":1306,"name":1306,"fn":1307,"description":1308,"org":1309,"tags":1310,"stars":1221,"repoUrl":1222,"updatedAt":1318},"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},[1311,1312,1315,1316,1317],{"name":1073,"slug":1074,"type":15},{"name":1313,"slug":1314,"type":15},"Design System","design-system",{"name":1301,"slug":1294,"type":15},{"name":1130,"slug":1131,"type":15},{"name":1139,"slug":1140,"type":15},"2026-05-10T05:59:52.971881",{"slug":1320,"name":1320,"fn":1321,"description":1322,"org":1323,"tags":1324,"stars":1221,"repoUrl":1222,"updatedAt":1332},"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},[1325,1326,1327,1330,1331],{"name":1073,"slug":1074,"type":15},{"name":1313,"slug":1314,"type":15},{"name":1328,"slug":1329,"type":15},"Documentation","documentation",{"name":1301,"slug":1294,"type":15},{"name":1130,"slug":1131,"type":15},"2026-05-16T06:07:47.821474",{"slug":1334,"name":1334,"fn":1335,"description":1336,"org":1337,"tags":1338,"stars":1221,"repoUrl":1222,"updatedAt":1344},"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},[1339,1340,1341,1342,1343],{"name":1073,"slug":1074,"type":15},{"name":1301,"slug":1294,"type":15},{"name":1130,"slug":1131,"type":15},{"name":1139,"slug":1140,"type":15},{"name":1219,"slug":1220,"type":15},"2026-05-16T06:07:40.583615",{"slug":1346,"name":1346,"fn":1347,"description":1348,"org":1349,"tags":1350,"stars":1221,"repoUrl":1222,"updatedAt":1359},"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},[1351,1354,1355,1358],{"name":1352,"slug":1353,"type":15},"Animation","animation",{"name":1254,"slug":1255,"type":15},{"name":1356,"slug":1357,"type":15},"Creative","creative",{"name":1073,"slug":1074,"type":15},"2026-05-02T05:31:48.48485",{"slug":1361,"name":1361,"fn":1362,"description":1363,"org":1364,"tags":1365,"stars":1221,"repoUrl":1222,"updatedAt":1375},"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},[1366,1367,1368,1371,1374],{"name":1356,"slug":1357,"type":15},{"name":1073,"slug":1074,"type":15},{"name":1369,"slug":1370,"type":15},"Image Generation","image-generation",{"name":1372,"slug":1373,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]