[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-cuopt-user-rules":3,"mdc--ehyr4g-key":33,"related-org-openai-cuopt-user-rules":1391,"related-repo-openai-cuopt-user-rules":1595},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"cuopt-user-rules","apply user rules for NVIDIA cuOpt","Base rules for end users calling NVIDIA cuOpt (routing\u002FLP\u002FMILP\u002FQP\u002Finstall\u002Fserver). Not for cuOpt internals — use cuopt-developer for those.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19],{"name":13,"slug":14,"type":15},"Operations","operations","tag",{"name":17,"slug":18,"type":15},"Routing","routing",{"name":20,"slug":21,"type":15},"Optimization","optimization",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102","Apache-2.0",465,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fnvidia\u002Fskills\u002Fcuopt-user-rules","---\nname: cuopt-user-rules\nversion: \"26.08.00\"\ndescription: Base rules for end users calling NVIDIA cuOpt (routing\u002FLP\u002FMILP\u002FQP\u002Finstall\u002Fserver). Not for cuOpt internals — use cuopt-developer for those.\nlicense: Apache-2.0\nmetadata:\n  author: NVIDIA cuOpt Team\n  tags:\n    - cuopt\n    - user-rules\n    - guidelines\n---\n\n\n\n# cuOpt User Rules\n\n**Read this when helping someone *use* cuOpt** (calling the SDK, installing, deploying the server). For modifying cuOpt itself, switch to `cuopt-developer`.\n\n---\n\n## Ask Before Assuming\n\n**Always clarify ambiguous requirements before implementing:**\n\n- What **language\u002Finterface**?\n- What problem type?\n- What constraints matter?\n- What output format?\n\n**Skip asking only if:**\n- User explicitly stated the requirement\n- Context makes it unambiguous (e.g., user shows Python code)\n\n---\n\n## Handle Incomplete Questions\n\n**If a question seems partial or incomplete, ask follow-up questions:**\n\n- \"Could you tell me more about [missing detail]?\"\n- \"What specifically would you like to achieve with this?\"\n- \"Are there any constraints or requirements I should know about?\"\n\n**Common missing information to probe for:**\n- Problem size (number of vehicles, locations, variables, constraints)\n- Specific constraints (time windows, capacities, precedence)\n- Performance requirements (time limits, solution quality)\n- Integration context (existing codebase, deployment environment)\n\n**Don't guess — ask.** A brief clarifying question saves time vs. solving the wrong problem.\n\n---\n\n## Clarify Data Requirements\n\n**Before generating examples, ask about data:**\n\n1. **Check if user has data:**\n   - \"Do you have specific data you'd like to use, or should I create a sample dataset?\"\n   - \"Can you share the format of your input data?\"\n\n2. **If using synthesized data:**\n   - State clearly: \"I'll create a sample dataset for demonstration\"\n   - Keep it small and understandable (e.g., 5-10 locations, 2-3 vehicles)\n   - Make values realistic and meaningful\n\n3. **Always document what you used:**\n   ```\n   \"For this example I'm using:\n   - [X] locations\u002Fvariables\u002Fconstraints\n   - [Key assumptions: e.g., all vehicles start at depot, 8-hour shifts]\n   - [Data source: synthesized \u002F user-provided \u002F from docs]\"\n   ```\n\n4. **State assumptions explicitly:**\n   - \"I'm assuming [X] — let me know if this differs from your scenario\"\n   - List any default values or simplifications made\n\n---\n\n## MUST Verify Understanding\n\n**Before writing substantial code, you MUST confirm your understanding:**\n\n```\n\"Let me confirm I understand:\n- Problem: [restate in your words]\n- Constraints: [list them]\n- Objective: [minimize\u002Fmaximize what]\n- Interface: [Python\u002FREST\u002FC\u002FCLI]\nIs this correct?\"\n```\n\n---\n\n## Follow Requirements Exactly\n\n- Use the **exact** variable names, formats, and structures the user specifies\n- Don't add features the user didn't ask for\n- Don't change the problem formulation unless asked\n- If user provides partial code, extend it—don't rewrite from scratch\n\n---\n\n## Check Results\n\nAfter providing a solution, guide the user to verify:\n\n- **Status check**: Is it `Optimal` \u002F `FeasibleFound` \u002F `SUCCESS`?\n- **Constraint satisfaction**: Are all constraints met?\n- **Objective value**: Is it reasonable for the problem?\n\n**Always end with a Result summary** that includes at least:\n- Solver status (e.g. Optimal, FeasibleFound, SUCCESS).\n- **Objective value with highlight** — easy to spot (bold or code block). Example: **Objective value (min total cost):** <value> or `Objective value: \u003Cvalue>`.\n- Briefly what the objective represents (e.g. total cost, total profit).\n\nDo not bury the objective value only in the middle of a paragraph; it must appear prominently in this summary. Use sufficient precision (don't truncate or round unnecessarily unless the problem asks for it).\n\n**Workflow:** Formulate once carefully (with verified understanding), solve, then sanity-check the result. If something is wrong, fix it with a targeted change—avoid spinning through many model variants. Decide, implement, verify, then move on.\n\nProvide diagnostic code snippets when helpful.\n\n### Post-correction check (mandatory)\nIf the result required a correction, retry, or workaround to reach this point, you MUST evaluate the skill-evolution workflow (`skills\u002Fskill-evolution\u002FSKILL.md`) before moving on. Do not skip this step.\n\n---\n\n## Check Environment First\n\n**Before writing code or suggesting installation, verify the user's setup:**\n\n1. **Ask how they access cuOpt:**\n   - \"Do you have cuOpt installed? If so, which interface?\"\n   - \"What environment are you using? (local GPU, cloud, Docker, server, etc.)\"\n\n2. **Different packages by language\u002Finterface:**\n\n   | Language \u002F Interface | Package | Check |\n   |----------------------|---------|-------|\n   | **Python** | `cuopt` (pip\u002Fconda) — also pulls in `libcuopt` | `import cuopt` |\n   | **C** | `libcuopt` (pip\u002Fconda) — already present if `cuopt` is installed | `find libcuopt.so` or header check |\n   | REST Server | `cuopt-server` or Docker | `curl \u002Fcuopt\u002Fhealth` |\n   | CLI | `cuopt` package includes CLI | `cuopt_cli --help` |\n\n   **Note:** `cuopt` declares `libcuopt` as a runtime dependency, so installing the Python package also installs the C library and headers. Installing `libcuopt` on its own does **not** install the Python API.\n\n3. **If not installed, ask how they want to access:**\n   - \"Would you like help installing cuOpt, or do you have access another way?\"\n   - Options: pip, conda, Docker, cloud instance, existing remote server\n\n4. **Never assume installation is needed** — the user may:\n   - Already have it installed\n   - Be connecting to a remote server\n   - Prefer a specific installation method\n   - Only need the C library (not Python)\n\n5. **Ask before running any verification commands:**\n   ```python\n   # Python API check - ask first\n   import cuopt\n   print(cuopt.__version__)\n   ```\n   ```bash\n   # C API check - ask first\n   find ${CONDA_PREFIX} -name \"libcuopt.so\"\n   ```\n   ```bash\n   # Server check - ask first\n   curl http:\u002F\u002Flocalhost:8000\u002Fcuopt\u002Fhealth\n   ```\n\n---\n\n## Ask Before Running\n\n**Do not execute commands or code without explicit permission:**\n\n| Action | Rule |\n|--------|------|\n| Shell commands | Show command, explain what it does, ask \"Should I run this?\" |\n| Package installs | **Never** run installs yourself — give the exact command, user runs it (see below). |\n| Examples\u002Fscripts | Show the code first, ask \"Would you like me to run this?\" |\n| File writes | Explain what will change, ask before writing |\n\n**Exceptions (okay without asking):**\n- Read-only commands the user explicitly requested\n- Commands the user just provided and asked you to run\n\n---\n\n## No Privileged Operations\n\n**Never do these without explicit user request AND confirmation:**\n\n- Use `sudo` or run as root\n- Modify system files or configurations\n- Add package repositories or keys\n- Change firewall, network, or driver settings\n- Write files outside the workspace\n\n---\n\n## Never Install Packages Automatically\n\n> **🔒 MANDATORY — You MUST NOT install, upgrade, or modify packages.** Provide the exact command; the user runs it. No exceptions.\n\n| Forbidden | What to do instead |\n|-----------|--------------------|\n| `pip install ...`, `conda install ...`, `apt install ...`, any package manager | Give the exact command and ask the user to run it. Say why the package is needed. |\n\n**When a package is needed:** Identify it, provide the exact command, explain why, then wait for the user to confirm they ran it. Even if the user says \"just install it\", give the command and require them to execute it themselves.\n\n---\n\n## Resources\n\n### Documentation\n- [cuOpt User Guide](https:\u002F\u002Fdocs.nvidia.com\u002Fcuopt\u002Fuser-guide\u002Flatest\u002Fintroduction.html)\n- [API Reference](https:\u002F\u002Fdocs.nvidia.com\u002Fcuopt\u002Fuser-guide\u002Flatest\u002Fapi.html)\n\n### Examples\n- [cuopt-examples repo](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcuopt-examples)\n- [Google Colab notebooks](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Fnvidia\u002Fcuopt-examples\u002F)\n\n### Support\n- [File a Bug](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcuopt\u002Fissues\u002Fnew?template=bug_report.md)\n- [Ask a Question](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcuopt\u002Fissues\u002Fnew?template=submit-question.md)\n- [All Issues](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fcuopt\u002Fissues)\n",{"data":34,"body":42},{"name":4,"version":35,"description":6,"license":25,"metadata":36},"26.08.00",{"author":37,"tags":38},"NVIDIA cuOpt Team",[39,40,41],"cuopt","user-rules","guidelines",{"type":43,"children":44},"root",[45,53,82,86,93,101,133,141,154,157,163,171,197,205,228,238,241,247,255,354,357,363,371,380,383,389,419,422,428,433,488,498,535,540,550,555,562,575,578,584,592,1018,1021,1027,1035,1114,1122,1135,1138,1144,1152,1188,1191,1197,1211,1267,1277,1280,1286,1292,1317,1323,1346,1352,1385],{"type":46,"tag":47,"props":48,"children":49},"element","h1",{"id":4},[50],{"type":51,"value":52},"text","cuOpt User Rules",{"type":46,"tag":54,"props":55,"children":56},"p",{},[57,71,73,80],{"type":46,"tag":58,"props":59,"children":60},"strong",{},[61,63,69],{"type":51,"value":62},"Read this when helping someone ",{"type":46,"tag":64,"props":65,"children":66},"em",{},[67],{"type":51,"value":68},"use",{"type":51,"value":70}," cuOpt",{"type":51,"value":72}," (calling the SDK, installing, deploying the server). 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var(--shiki-dark-text-decoration);}",{"items":1392,"total":1594},[1393,1414,1437,1454,1469,1488,1507,1523,1539,1551,1563,1578],{"slug":1394,"name":1394,"fn":1395,"description":1396,"org":1397,"tags":1398,"stars":1411,"repoUrl":1412,"updatedAt":1413},"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},[1399,1402,1405,1408],{"name":1400,"slug":1401,"type":15},"Documents","documents",{"name":1403,"slug":1404,"type":15},"Healthcare","healthcare",{"name":1406,"slug":1407,"type":15},"Insurance","insurance",{"name":1409,"slug":1410,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1415,"name":1415,"fn":1416,"description":1417,"org":1418,"tags":1419,"stars":1434,"repoUrl":1435,"updatedAt":1436},"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},[1420,1423,1425,1428,1431],{"name":1421,"slug":1422,"type":15},".NET","dotnet",{"name":1424,"slug":1415,"type":15},"ASP.NET Core",{"name":1426,"slug":1427,"type":15},"Blazor","blazor",{"name":1429,"slug":1430,"type":15},"C#","csharp",{"name":1432,"slug":1433,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1438,"name":1438,"fn":1439,"description":1440,"org":1441,"tags":1442,"stars":1434,"repoUrl":1435,"updatedAt":1453},"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},[1443,1446,1449,1452],{"name":1444,"slug":1445,"type":15},"Apps SDK","apps-sdk",{"name":1447,"slug":1448,"type":15},"ChatGPT","chatgpt",{"name":1450,"slug":1451,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1455,"name":1455,"fn":1456,"description":1457,"org":1458,"tags":1459,"stars":1434,"repoUrl":1435,"updatedAt":1468},"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},[1460,1463,1465],{"name":1461,"slug":1462,"type":15},"API Development","api-development",{"name":767,"slug":1464,"type":15},"cli",{"name":1466,"slug":1467,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1470,"name":1470,"fn":1471,"description":1472,"org":1473,"tags":1474,"stars":1434,"repoUrl":1435,"updatedAt":1487},"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},[1475,1478,1481,1484],{"name":1476,"slug":1477,"type":15},"Cloudflare","cloudflare",{"name":1479,"slug":1480,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1482,"slug":1483,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1485,"slug":1486,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1489,"name":1489,"fn":1490,"description":1491,"org":1492,"tags":1493,"stars":1434,"repoUrl":1435,"updatedAt":1506},"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},[1494,1497,1500,1503],{"name":1495,"slug":1496,"type":15},"Productivity","productivity",{"name":1498,"slug":1499,"type":15},"Project Management","project-management",{"name":1501,"slug":1502,"type":15},"Strategy","strategy",{"name":1504,"slug":1505,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1508,"name":1508,"fn":1509,"description":1510,"org":1511,"tags":1512,"stars":1434,"repoUrl":1435,"updatedAt":1522},"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},[1513,1516,1518,1521],{"name":1514,"slug":1515,"type":15},"Design","design",{"name":1517,"slug":1508,"type":15},"Figma",{"name":1519,"slug":1520,"type":15},"Frontend","frontend",{"name":1450,"slug":1451,"type":15},"2026-04-12T05:06:47.939943",{"slug":1524,"name":1524,"fn":1525,"description":1526,"org":1527,"tags":1528,"stars":1434,"repoUrl":1435,"updatedAt":1538},"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},[1529,1530,1533,1534,1535],{"name":1514,"slug":1515,"type":15},{"name":1531,"slug":1532,"type":15},"Design System","design-system",{"name":1517,"slug":1508,"type":15},{"name":1519,"slug":1520,"type":15},{"name":1536,"slug":1537,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1540,"name":1540,"fn":1541,"description":1542,"org":1543,"tags":1544,"stars":1434,"repoUrl":1435,"updatedAt":1550},"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},[1545,1546,1547,1548,1549],{"name":1514,"slug":1515,"type":15},{"name":1531,"slug":1532,"type":15},{"name":1291,"slug":1288,"type":15},{"name":1517,"slug":1508,"type":15},{"name":1519,"slug":1520,"type":15},"2026-05-16T06:07:47.821474",{"slug":1552,"name":1552,"fn":1553,"description":1554,"org":1555,"tags":1556,"stars":1434,"repoUrl":1435,"updatedAt":1562},"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},[1557,1558,1559,1560,1561],{"name":1514,"slug":1515,"type":15},{"name":1517,"slug":1508,"type":15},{"name":1519,"slug":1520,"type":15},{"name":1536,"slug":1537,"type":15},{"name":1432,"slug":1433,"type":15},"2026-05-16T06:07:40.583615",{"slug":1564,"name":1564,"fn":1565,"description":1566,"org":1567,"tags":1568,"stars":1434,"repoUrl":1435,"updatedAt":1577},"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},[1569,1572,1573,1576],{"name":1570,"slug":1571,"type":15},"Animation","animation",{"name":1466,"slug":1467,"type":15},{"name":1574,"slug":1575,"type":15},"Creative","creative",{"name":1514,"slug":1515,"type":15},"2026-05-02T05:31:48.48485",{"slug":1579,"name":1579,"fn":1580,"description":1581,"org":1582,"tags":1583,"stars":1434,"repoUrl":1435,"updatedAt":1593},"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},[1584,1585,1586,1589,1592],{"name":1574,"slug":1575,"type":15},{"name":1514,"slug":1515,"type":15},{"name":1587,"slug":1588,"type":15},"Image Generation","image-generation",{"name":1590,"slug":1591,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":1596,"total":1709},[1597,1613,1629,1641,1659,1677,1697],{"slug":1598,"name":1598,"fn":1599,"description":1600,"org":1601,"tags":1602,"stars":22,"repoUrl":23,"updatedAt":24},"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},[1603,1606,1609,1612],{"name":1604,"slug":1605,"type":15},"Accessibility","accessibility",{"name":1607,"slug":1608,"type":15},"Charts","charts",{"name":1610,"slug":1611,"type":15},"Data Visualization","data-visualization",{"name":1514,"slug":1515,"type":15},{"slug":1614,"name":1614,"fn":1615,"description":1616,"org":1617,"tags":1618,"stars":22,"repoUrl":23,"updatedAt":1628},"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},[1619,1622,1625],{"name":1620,"slug":1621,"type":15},"Agents","agents",{"name":1623,"slug":1624,"type":15},"Browser Automation","browser-automation",{"name":1626,"slug":1627,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":1630,"name":1630,"fn":1631,"description":1632,"org":1633,"tags":1634,"stars":22,"repoUrl":23,"updatedAt":1640},"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},[1635,1636,1639],{"name":1623,"slug":1624,"type":15},{"name":1637,"slug":1638,"type":15},"Local Development","local-development",{"name":1626,"slug":1627,"type":15},"2026-04-06T18:41:17.526867",{"slug":1642,"name":1642,"fn":1643,"description":1644,"org":1645,"tags":1646,"stars":22,"repoUrl":23,"updatedAt":1658},"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},[1647,1648,1649,1652,1655],{"name":1620,"slug":1621,"type":15},{"name":1482,"slug":1483,"type":15},{"name":1650,"slug":1651,"type":15},"SDK","sdk",{"name":1653,"slug":1654,"type":15},"Serverless","serverless",{"name":1656,"slug":1657,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1660,"name":1660,"fn":1661,"description":1662,"org":1663,"tags":1664,"stars":22,"repoUrl":23,"updatedAt":1676},"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},[1665,1666,1669,1672,1673],{"name":1519,"slug":1520,"type":15},{"name":1667,"slug":1668,"type":15},"React","react",{"name":1670,"slug":1671,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1536,"slug":1537,"type":15},{"name":1674,"slug":1675,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1678,"name":1678,"fn":1679,"description":1680,"org":1681,"tags":1682,"stars":22,"repoUrl":23,"updatedAt":1696},"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},[1683,1686,1689,1692,1695],{"name":1684,"slug":1685,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1687,"slug":1688,"type":15},"Cost Optimization","cost-optimization",{"name":1690,"slug":1691,"type":15},"LLM","llm",{"name":1693,"slug":1694,"type":15},"Performance","performance",{"name":1674,"slug":1675,"type":15},"2026-04-06T18:40:44.377464",{"slug":1698,"name":1698,"fn":1699,"description":1700,"org":1701,"tags":1702,"stars":22,"repoUrl":23,"updatedAt":1708},"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},[1703,1704,1707],{"name":1687,"slug":1688,"type":15},{"name":1705,"slug":1706,"type":15},"Database","database",{"name":1690,"slug":1691,"type":15},"2026-04-06T18:41:08.513425",600]