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Identifies errors (missing env vars, port binding, OOM, etc.) and suggests fixes. Use when deployments fail, services won't start, or users mention errors, logs, or debugging.\nlicense: MIT\ncompatibility: Requires Render MCP tools or CLI\nmetadata:\n  author: Render\n  version: \"1.1.0\"\n  category: debugging\n---\n\n# Debug Render Deployments\n\nAnalyze deployment failures using logs, metrics, and database queries. Identify root causes and apply fixes.\n\n## When to Use This Skill\n\nActivate this skill when:\n- Deployment fails on Render\n- Service won't start or keeps crashing\n- User mentions errors, logs, or debugging\n- Health checks are timing out\n- Application errors in production\n- Performance issues (slow responses)\n- Database connection problems\n\n## Prerequisites\n\n**MCP tools (preferred):** Test with `list_services()` - provides structured data\n\n**CLI (fallback):** `render --version` - use if MCP tools unavailable\n\n**Authentication:** For MCP, use an API key (set in the MCP config or via the `RENDER_API_KEY` env var, depending on tool). For CLI, verify with `render whoami -o json`.\n\n**Workspace:** `get_selected_workspace()` or `render workspace current -o json`\n\n> **Note:** MCP tools require the Render MCP server. If unavailable, use the CLI for logs and deploy status; metrics and structured database queries require MCP.\n\n## MCP Setup\n\nIf `list_services()` fails, set up the Render MCP server. For detailed per-tool walkthroughs, see **render-mcp**.\n\n**Quick setup:** Add the Render MCP server to your AI tool's MCP config:\n- **URL:** `https:\u002F\u002Fmcp.render.com\u002Fmcp`\n- **Auth header:** `Authorization: Bearer \u003CYOUR_API_KEY>`\n- **API key:** `https:\u002F\u002Fdashboard.render.com\u002Fu\u002F*\u002Fsettings#api-keys`\n\nAfter configuring, restart your tool and retry `list_services()`. Then set your workspace with `list_workspaces()` \u002F `get_selected_workspace()`.\n\n---\n\n## Debugging Workflow\n\n### Step 1: Identify Failed Service\n\n```\nlist_services()\n```\n\nIf MCP isn't configured, ask whether to set it up (preferred) or continue with CLI. Then proceed.\n\nLook for services with failed status. Get details:\n\n```\nget_service(serviceId: \"\u003Cid>\")\n```\n\n### Step 2: Retrieve Logs\n\n**Build\u002FDeploy Logs (most failures):**\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], type: [\"build\"], limit: 200)\n```\n\n**Runtime Error Logs:**\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 100)\n```\n\n**Search for Specific Errors:**\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], text: [\"KeyError\", \"ECONNREFUSED\"], limit: 50)\n```\n\n**HTTP Error Logs:**\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], statusCode: [\"500\", \"502\", \"503\"], limit: 50)\n```\n\n### Step 3: Analyze Error Patterns\n\nMatch log errors against known patterns:\n\n| Error | Log Pattern | Common Fix |\n|-------|-------------|------------|\n| **MISSING_ENV_VAR** | `KeyError`, `not defined` | Add to render.yaml or `update_environment_variables` |\n| **PORT_BINDING** | `EADDRINUSE` | Use `0.0.0.0:$PORT` |\n| **MISSING_DEPENDENCY** | `Cannot find module` | Add to package.json\u002Frequirements.txt |\n| **DATABASE_CONNECTION** | `ECONNREFUSED :5432` | Check DATABASE_URL, DB status |\n| **HEALTH_CHECK** | `Health check timeout` | Add \u002Fhealth endpoint, check port binding |\n| **OUT_OF_MEMORY** | `heap out of memory`, exit 137 | Optimize memory or upgrade plan |\n| **BUILD_FAILURE** | `Command failed` | Fix build command or dependencies |\n\nFull error catalog: [references\u002Ferror-patterns.md](references\u002Ferror-patterns.md)\n\n**If errors repeat across deploys:** Switch from incremental fixes to a broader sweep. Scan the codebase\u002Fconfig for all likely causes in that error class (related env vars, build config, dependencies, or type errors) and address them together before the next redeploy.\n\n### Step 4: Check Metrics (Performance Issues)\n\nFor crashes, slow responses, or resource issues:\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"cpu_usage\", \"memory_usage\", \"memory_limit\"]\n)\n```\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"http_latency\"],\n  httpLatencyQuantile: 0.95\n)\n```\n\nDetailed metrics guide: [references\u002Fmetrics-debugging.md](references\u002Fmetrics-debugging.md)\n\n### Step 5: Debug Database Issues\n\nFor database-related errors:\n\n```\n# Check database status\nlist_postgres_instances()\n\n# Check connections\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\n\n# Query directly\nquery_render_postgres(\n  postgresId: \"\u003Cpostgres-id>\",\n  sql: \"SELECT state, count(*) FROM pg_stat_activity GROUP BY state\"\n)\n```\n\nDetailed database guide: [references\u002Fdatabase-debugging.md](references\u002Fdatabase-debugging.md)\n\n### Step 6: Apply Fix\n\n**For environment variables:**\n```\nupdate_environment_variables(\n  serviceId: \"\u003Cservice-id>\",\n  envVars: [{\"key\": \"MISSING_VAR\", \"value\": \"value\"}]\n)\n```\n\n**For code changes:**\n1. Edit the source file\n2. Commit and push\n3. Deploy triggers automatically (if auto-deploy enabled)\n\n### Step 7: Verify Fix\n\n```\n# Check deploy status\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 1)\n\n# Check for new errors\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 20)\n\n# Check metrics\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"http_request_count\"])\n```\n\n---\n\n## Quick Workflows\n\nPre-built debugging sequences for common scenarios:\n\n| Scenario | Workflow |\n|----------|----------|\n| Deploy failed | `list_deploys` → `list_logs(type: build)` → fix → redeploy |\n| App crashing | `list_logs(level: error)` → `get_metrics(memory)` → fix |\n| App slow | `get_metrics(http_latency)` → `get_metrics(cpu)` → `query_postgres` |\n| DB connection | `list_postgres` → `get_metrics(connections)` → `query_postgres` |\n| Post-deploy check | `list_deploys` → `list_logs(error)` → `get_metrics` |\n\nDetailed workflows: [references\u002Fquick-workflows.md](references\u002Fquick-workflows.md)\n\n---\n\n## Quick Reference\n\n### MCP Tools\n\n```\n# Service Discovery\nlist_services()\nget_service(serviceId: \"\u003Cid>\")\nlist_postgres_instances()\n\n# Logs\nlist_logs(resource: [\"\u003Cid>\"], level: [\"error\"], limit: 100)\nlist_logs(resource: [\"\u003Cid>\"], type: [\"build\"], limit: 200)\nlist_logs(resource: [\"\u003Cid>\"], text: [\"search\"], limit: 50)\n\n# Metrics\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\n\n# Database\nquery_render_postgres(postgresId: \"\u003Cid>\", sql: \"SELECT ...\")\n\n# Deployments\nlist_deploys(serviceId: \"\u003Cid>\", limit: 5)\n\n# Environment Variables\nupdate_environment_variables(serviceId: \"\u003Cid>\", envVars: [{key, value}])\n```\n\n### CLI Commands (Fallback)\n\n```bash\nrender services -o json\nrender logs -r \u003Cservice-id> --level error -o json\nrender logs -r \u003Cservice-id> --tail -o text\nrender deploys create \u003Cservice-id> --wait\n```\n\n---\n\n## References\n\n- **Error patterns:** [references\u002Ferror-patterns.md](references\u002Ferror-patterns.md)\n- **Metrics debugging:** [references\u002Fmetrics-debugging.md](references\u002Fmetrics-debugging.md)\n- **Database debugging:** [references\u002Fdatabase-debugging.md](references\u002Fdatabase-debugging.md)\n- **Quick workflows:** [references\u002Fquick-workflows.md](references\u002Fquick-workflows.md)\n- **Log analysis:** [references\u002Flog-analysis.md](references\u002Flog-analysis.md)\n- **Troubleshooting:** [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md)\n\n## Related Skills\n\n- **render-deploy** — Deploy new applications to Render\n- **render-monitor** — Ongoing service health monitoring\n- **render-mcp** — MCP server setup and tool catalog\n",{"data":40,"body":44},{"name":4,"description":6,"license":31,"compatibility":41,"metadata":42},"Requires Render MCP tools or CLI",{"author":20,"version":43,"category":27},"1.1.0",{"type":45,"children":46},"root",[47,56,62,69,74,114,120,140,158,184,207,221,227,245,255,303,329,333,339,346,358,363,368,377,383,391,400,408,417,425,434,442,451,457,462,692,703,713,719,724,733,742,752,758,763,772,782,788,796,805,813,832,838,847,850,856,861,1027,1037,1040,1046,1052,1061,1067,1246,1249,1255,1338,1344,1376],{"type":48,"tag":49,"props":50,"children":52},"element","h1",{"id":51},"debug-render-deployments",[53],{"type":54,"value":55},"text","Debug Render Deployments",{"type":48,"tag":57,"props":58,"children":59},"p",{},[60],{"type":54,"value":61},"Analyze deployment failures using logs, metrics, and database queries. 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Skills",{"type":48,"tag":75,"props":1345,"children":1346},{},[1347,1357,1367],{"type":48,"tag":79,"props":1348,"children":1349},{},[1350,1355],{"type":48,"tag":124,"props":1351,"children":1352},{},[1353],{"type":54,"value":1354},"render-deploy",{"type":54,"value":1356}," — Deploy new applications to Render",{"type":48,"tag":79,"props":1358,"children":1359},{},[1360,1365],{"type":48,"tag":124,"props":1361,"children":1362},{},[1363],{"type":54,"value":1364},"render-monitor",{"type":54,"value":1366}," — Ongoing service health monitoring",{"type":48,"tag":79,"props":1368,"children":1369},{},[1370,1374],{"type":48,"tag":124,"props":1371,"children":1372},{},[1373],{"type":54,"value":243},{"type":54,"value":1375}," — MCP server setup and tool catalog",{"type":48,"tag":1377,"props":1378,"children":1379},"style",{},[1380],{"type":54,"value":1381},"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":1383,"total":1505},[1384,1403,1419,1431,1451,1473,1493],{"slug":1385,"name":1385,"fn":1386,"description":1387,"org":1388,"tags":1389,"stars":28,"repoUrl":29,"updatedAt":1402},"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},[1390,1393,1396,1399],{"name":1391,"slug":1392,"type":15},"Accessibility","accessibility",{"name":1394,"slug":1395,"type":15},"Charts","charts",{"name":1397,"slug":1398,"type":15},"Data Visualization","data-visualization",{"name":1400,"slug":1401,"type":15},"Design","design","2026-06-30T19:00:57.102",{"slug":1404,"name":1404,"fn":1405,"description":1406,"org":1407,"tags":1408,"stars":28,"repoUrl":29,"updatedAt":1418},"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},[1409,1412,1415],{"name":1410,"slug":1411,"type":15},"Agents","agents",{"name":1413,"slug":1414,"type":15},"Browser Automation","browser-automation",{"name":1416,"slug":1417,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":1420,"name":1420,"fn":1421,"description":1422,"org":1423,"tags":1424,"stars":28,"repoUrl":29,"updatedAt":1430},"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},[1425,1426,1429],{"name":1413,"slug":1414,"type":15},{"name":1427,"slug":1428,"type":15},"Local Development","local-development",{"name":1416,"slug":1417,"type":15},"2026-04-06T18:41:17.526867",{"slug":1432,"name":1432,"fn":1433,"description":1434,"org":1435,"tags":1436,"stars":28,"repoUrl":29,"updatedAt":1450},"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},[1437,1438,1441,1444,1447],{"name":1410,"slug":1411,"type":15},{"name":1439,"slug":1440,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1442,"slug":1443,"type":15},"SDK","sdk",{"name":1445,"slug":1446,"type":15},"Serverless","serverless",{"name":1448,"slug":1449,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1452,"name":1452,"fn":1453,"description":1454,"org":1455,"tags":1456,"stars":28,"repoUrl":29,"updatedAt":1472},"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},[1457,1460,1463,1466,1469],{"name":1458,"slug":1459,"type":15},"Frontend","frontend",{"name":1461,"slug":1462,"type":15},"React","react",{"name":1464,"slug":1465,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1467,"slug":1468,"type":15},"UI Components","ui-components",{"name":1470,"slug":1471,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1474,"name":1474,"fn":1475,"description":1476,"org":1477,"tags":1478,"stars":28,"repoUrl":29,"updatedAt":1492},"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},[1479,1482,1485,1488,1491],{"name":1480,"slug":1481,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1483,"slug":1484,"type":15},"Cost Optimization","cost-optimization",{"name":1486,"slug":1487,"type":15},"LLM","llm",{"name":1489,"slug":1490,"type":15},"Performance","performance",{"name":1470,"slug":1471,"type":15},"2026-04-06T18:40:44.377464",{"slug":1494,"name":1494,"fn":1495,"description":1496,"org":1497,"tags":1498,"stars":28,"repoUrl":29,"updatedAt":1504},"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},[1499,1500,1503],{"name":1483,"slug":1484,"type":15},{"name":1501,"slug":1502,"type":15},"Database","database",{"name":1486,"slug":1487,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1507,"total":1702},[1508,1529,1552,1569,1585,1600,1619,1631,1645,1659,1671,1686],{"slug":1509,"name":1509,"fn":1510,"description":1511,"org":1512,"tags":1513,"stars":1526,"repoUrl":1527,"updatedAt":1528},"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},[1514,1517,1520,1523],{"name":1515,"slug":1516,"type":15},"Documents","documents",{"name":1518,"slug":1519,"type":15},"Healthcare","healthcare",{"name":1521,"slug":1522,"type":15},"Insurance","insurance",{"name":1524,"slug":1525,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1530,"name":1530,"fn":1531,"description":1532,"org":1533,"tags":1534,"stars":1549,"repoUrl":1550,"updatedAt":1551},"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},[1535,1538,1540,1543,1546],{"name":1536,"slug":1537,"type":15},".NET","dotnet",{"name":1539,"slug":1530,"type":15},"ASP.NET Core",{"name":1541,"slug":1542,"type":15},"Blazor","blazor",{"name":1544,"slug":1545,"type":15},"C#","csharp",{"name":1547,"slug":1548,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1553,"name":1553,"fn":1554,"description":1555,"org":1556,"tags":1557,"stars":1549,"repoUrl":1550,"updatedAt":1568},"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},[1558,1561,1564,1567],{"name":1559,"slug":1560,"type":15},"Apps SDK","apps-sdk",{"name":1562,"slug":1563,"type":15},"ChatGPT","chatgpt",{"name":1565,"slug":1566,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1570,"name":1570,"fn":1571,"description":1572,"org":1573,"tags":1574,"stars":1549,"repoUrl":1550,"updatedAt":1584},"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},[1575,1578,1581],{"name":1576,"slug":1577,"type":15},"API Development","api-development",{"name":1579,"slug":1580,"type":15},"CLI","cli",{"name":1582,"slug":1583,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1586,"name":1586,"fn":1587,"description":1588,"org":1589,"tags":1590,"stars":1549,"repoUrl":1550,"updatedAt":1599},"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},[1591,1594,1597,1598],{"name":1592,"slug":1593,"type":15},"Cloudflare","cloudflare",{"name":1595,"slug":1596,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1439,"slug":1440,"type":15},{"name":23,"slug":24,"type":15},"2026-04-12T05:07:14.275118",{"slug":1601,"name":1601,"fn":1602,"description":1603,"org":1604,"tags":1605,"stars":1549,"repoUrl":1550,"updatedAt":1618},"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},[1606,1609,1612,1615],{"name":1607,"slug":1608,"type":15},"Productivity","productivity",{"name":1610,"slug":1611,"type":15},"Project Management","project-management",{"name":1613,"slug":1614,"type":15},"Strategy","strategy",{"name":1616,"slug":1617,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1620,"name":1620,"fn":1621,"description":1622,"org":1623,"tags":1624,"stars":1549,"repoUrl":1550,"updatedAt":1630},"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},[1625,1626,1628,1629],{"name":1400,"slug":1401,"type":15},{"name":1627,"slug":1620,"type":15},"Figma",{"name":1458,"slug":1459,"type":15},{"name":1565,"slug":1566,"type":15},"2026-04-12T05:06:47.939943",{"slug":1632,"name":1632,"fn":1633,"description":1634,"org":1635,"tags":1636,"stars":1549,"repoUrl":1550,"updatedAt":1644},"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},[1637,1638,1641,1642,1643],{"name":1400,"slug":1401,"type":15},{"name":1639,"slug":1640,"type":15},"Design System","design-system",{"name":1627,"slug":1620,"type":15},{"name":1458,"slug":1459,"type":15},{"name":1467,"slug":1468,"type":15},"2026-05-10T05:59:52.971881",{"slug":1646,"name":1646,"fn":1647,"description":1648,"org":1649,"tags":1650,"stars":1549,"repoUrl":1550,"updatedAt":1658},"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},[1651,1652,1653,1656,1657],{"name":1400,"slug":1401,"type":15},{"name":1639,"slug":1640,"type":15},{"name":1654,"slug":1655,"type":15},"Documentation","documentation",{"name":1627,"slug":1620,"type":15},{"name":1458,"slug":1459,"type":15},"2026-05-16T06:07:47.821474",{"slug":1660,"name":1660,"fn":1661,"description":1662,"org":1663,"tags":1664,"stars":1549,"repoUrl":1550,"updatedAt":1670},"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},[1665,1666,1667,1668,1669],{"name":1400,"slug":1401,"type":15},{"name":1627,"slug":1620,"type":15},{"name":1458,"slug":1459,"type":15},{"name":1467,"slug":1468,"type":15},{"name":1547,"slug":1548,"type":15},"2026-05-16T06:07:40.583615",{"slug":1672,"name":1672,"fn":1673,"description":1674,"org":1675,"tags":1676,"stars":1549,"repoUrl":1550,"updatedAt":1685},"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},[1677,1680,1681,1684],{"name":1678,"slug":1679,"type":15},"Animation","animation",{"name":1582,"slug":1583,"type":15},{"name":1682,"slug":1683,"type":15},"Creative","creative",{"name":1400,"slug":1401,"type":15},"2026-05-02T05:31:48.48485",{"slug":1687,"name":1687,"fn":1688,"description":1689,"org":1690,"tags":1691,"stars":1549,"repoUrl":1550,"updatedAt":1701},"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},[1692,1693,1694,1697,1700],{"name":1682,"slug":1683,"type":15},{"name":1400,"slug":1401,"type":15},{"name":1695,"slug":1696,"type":15},"Image Generation","image-generation",{"name":1698,"slug":1699,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]