[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-vercel-services":3,"mdc--6uwtn1-key":30,"related-org-openai-vercel-services":1262,"related-repo-openai-vercel-services":1466},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":19,"repoUrl":20,"updatedAt":21,"license":22,"forks":23,"topics":24,"repo":25,"sourceUrl":28,"mdContent":29},"vercel-services","deploy multiple services on Vercel","Vercel Services — deploy multiple services within a single Vercel project. 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Use for monorepo layouts or when combining a backend (Python, Go) with a frontend (Next.js, Vite) in one deployment.\"\nmetadata:\n  priority: 7\n  docs:\n    - \"https:\u002F\u002Fvercel.com\u002Fdocs\u002Fservices\"\n  sitemap: \"https:\u002F\u002Fvercel.com\u002Fsitemap\u002Fdocs.xml\"\n  pathPatterns:\n    - 'backend\u002F**'\n    - 'backend\u002Fmain.py'\n    - 'backend\u002Fmain.go'\n    - 'backend\u002Fgo.mod'\n    - 'backend\u002Fpyproject.toml'\n    - 'backend\u002Frequirements.txt'\n    - 'frontend\u002F**'\n    - 'apps\u002F*\u002Fbackend\u002F**'\n    - 'apps\u002F*\u002Ffrontend\u002F**'\n    - 'services\u002F*\u002Fvercel.json'\n    - '*\u002Fpyproject.toml'\n    - '*\u002Fgo.mod'\n  bashPatterns:\n    - '\\bvercel\\s+dev\\b.*-L'\n    - '\\bpip\\s+install\\b.*fastapi'\n    - '\\buv\\s+(sync|pip|run)\\b'\n    - '\\bgo\\s+(run|build|mod)\\b'\n    - '\\bpython\\s+-m\\s+uvicorn\\b'\n    - '\\buvicorn\\b'\n  importPatterns:\n    - \"fastapi\"\n  promptSignals:\n    phrases:\n      - \"services api\"\n      - \"vercel services\"\n      - \"multi-service\"\n      - \"python backend\"\n      - \"go backend\"\n      - \"fastapi\"\n      - \"deploy backend\"\n      - \"backend and frontend\"\n      - \"multiple services\"\n    allOf:\n      - [backend, frontend]\n      - [python, vercel]\n      - [go, vercel]\n      - [backend, deploy]\n      - [service, monorepo]\n      - [fastapi, deploy]\n    anyOf:\n      - \"backend\"\n      - \"monorepo\"\n      - \"service\"\n      - \"python\"\n      - \"golang\"\n    noneOf:\n      - \"turborepo cache\"\n      - \"turbo.json\"\n      - \"aws lambda\"\n      - \"docker compose\"\n    minScore: 6\n---\n\n# Deploy multi-service projects with Vercel\n\nServices let you deploy multiple independently-built units within a single Vercel project. The typical use case is combining different runtimes (e.g. Python + JavaScript) in one deployment with shared routing and environment variables, but services work for any combination — multiple services of the same runtime, different frameworks, or a mix.\n\nThis skill covers **project structure and configuration**. For the actual deployment, defer to the **deployments-cicd** skill.\n\n## How It Works\n\nA service is an independently built unit within your project, deployed to the same domain under a unique subpath. At build time, Vercel builds each service separately. At request time, Vercel routes incoming requests to the correct service based on the URL path prefix (longest prefix wins).\n\n- Services are enabled via the `experimentalServices` field in `vercel.json` (see reference project).\n- `vercel dev -L` auto-detects frameworks and runs all services locally as one application, handling routing automatically. The `-L` flag (short for `--local`) runs without authenticating with Vercel Cloud.\n- Only `vercel.json` lives at the root. Each service manages its own dependencies independently.\n\n## Configuration\n\nDefine services in `vercel.json`:\n\n```json\n{\n  \"experimentalServices\": {\n    \"web\": {\n      \"entrypoint\": \"apps\u002Fweb\",\n      \"routePrefix\": \"\u002F\"\n    },\n    \"api\": {\n      \"entrypoint\": \"backend\u002Fmain.py\",\n      \"routePrefix\": \"\u002Fserver\"\n    }\n  }\n}\n```\n\nThe project's Framework Preset must be set to **Services** in the Vercel dashboard.\n\n### Configuration fields\n\n| Field          | Required | Description                                                |\n|----------------|----------|------------------------------------------------------------|\n| `entrypoint`   | Yes      | Path to the service entrypoint file or directory.          |\n| `routePrefix`  | Yes      | URL path prefix for routing (e.g. `\u002F`, `\u002Fapi`, `\u002Fsvc\u002Fgo`). |\n| `framework`    | No       | Framework slug. Pins detection; auto-detected if unset.    |\n| `memory`       | No       | Max available RAM in MB (128–10,240).                      |\n| `maxDuration`  | No       | Execution timeout in seconds (1–900).                      |\n| `includeFiles` | No       | Glob patterns for files to include in the deployment.      |\n| `excludeFiles` | No       | Glob patterns for files to exclude from the deployment.    |\n\nDo not add unknown fields — they will cause the build to fail.\n\n## Supported runtimes and frameworks\n\nServices is in beta. **Python** and **Go** are tested and production-ready. Other runtimes may work but are not yet validated.\n\n### Python\n\nWorks with FastAPI, Flask, Django, or any ASGI\u002FWSGI application. Framework is auto-detected. Set `entrypoint` to the application file (e.g. `\"backend\u002Fmain.py\"`). Dependencies go in `pyproject.toml` in the service directory.\n\n### Go\n\nSet `entrypoint` to the service **directory** (e.g. `\"backend\"`), not a file. **Must** set `\"framework\": \"go\"` explicitly in `vercel.json` — auto-detection does not work for Go services. Dependencies in `go.mod` in the service directory.\n\n### Other runtimes (untested)\n\nVercel supports Node.js, Bun, Rust, Ruby, Wasm, and Edge runtimes for functions. These can theoretically be used as services but are not yet validated.\n\n## Routing\n\nVercel evaluates route prefixes from longest to shortest (most specific first), with the primary service (`\u002F`) as the catch-all. Vercel automatically mounts services at their `routePrefix`, so service handlers should **not** include the prefix in their routes.\n\nFor frontend frameworks mounted on a subpath (not `\u002F`), configure the framework's own base path (e.g. `basePath` in `next.config.js`) to match `routePrefix`.\n\n## Environment variables\n\nVercel auto-generates URL variables so services can find each other:\n\n| Variable                        | Example value                            | Availability | Use case                              |\n|---------------------------------|------------------------------------------|--------------|---------------------------------------|\n| `{SERVICENAME}_URL`             | `https:\u002F\u002Fyour-deploy.vercel.app\u002Fsvc\u002Fapi` | Server-side  | Server-to-server requests             |\n| `NEXT_PUBLIC_{SERVICENAME}_URL` | `\u002Fsvc\u002Fapi`                               | Client-side  | Browser requests (relative, no CORS)  |\n\n`SERVICENAME` is the key name from `experimentalServices`, uppercased. If you define an env var with the same name in project settings, your value takes precedence.\n\n## Usage\n\n1. Read `references\u002Ffastapi-vite\u002F` for the canonical project layout.\n2. Adapt the structure to the user's chosen runtimes — services can use any supported runtime, not just the ones in the reference.\n3. Define service routes **without** the route prefix — Vercel strips the prefix before forwarding.\n4. Validate that each service in `vercel.json` has `entrypoint` and `routePrefix`. Only set `framework` when auto-detection fails (required for Go).\n\n## Output\n\nAfter scaffolding, present the created file structure to the user. After deployment, present the deployment URL (refer to the **deployments-cicd** skill for details).\n\n## Troubleshooting\n\n### 404 on routes after deployment\n\nThe project needs the Services framework preset:\n\n1. Go to Project Settings → Build & Deployment → Framework Preset\n2. Select **Services** from the dropdown\n3. 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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},[1314,1317,1320,1323],{"name":1315,"slug":1316,"type":15},"Apps SDK","apps-sdk",{"name":1318,"slug":1319,"type":15},"ChatGPT","chatgpt",{"name":1321,"slug":1322,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1326,"name":1326,"fn":1327,"description":1328,"org":1329,"tags":1330,"stars":1305,"repoUrl":1306,"updatedAt":1340},"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},[1331,1334,1337],{"name":1332,"slug":1333,"type":15},"API Development","api-development",{"name":1335,"slug":1336,"type":15},"CLI","cli",{"name":1338,"slug":1339,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1342,"name":1342,"fn":1343,"description":1344,"org":1345,"tags":1346,"stars":1305,"repoUrl":1306,"updatedAt":1357},"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},[1347,1350,1353,1356],{"name":1348,"slug":1349,"type":15},"Cloudflare","cloudflare",{"name":1351,"slug":1352,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1354,"slug":1355,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":17,"slug":18,"type":15},"2026-04-12T05:07:14.275118",{"slug":1359,"name":1359,"fn":1360,"description":1361,"org":1362,"tags":1363,"stars":1305,"repoUrl":1306,"updatedAt":1376},"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},[1364,1367,1370,1373],{"name":1365,"slug":1366,"type":15},"Productivity","productivity",{"name":1368,"slug":1369,"type":15},"Project Management","project-management",{"name":1371,"slug":1372,"type":15},"Strategy","strategy",{"name":1374,"slug":1375,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1378,"name":1378,"fn":1379,"description":1380,"org":1381,"tags":1382,"stars":1305,"repoUrl":1306,"updatedAt":1391},"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},[1383,1386,1388,1390],{"name":1384,"slug":1385,"type":15},"Design","design",{"name":1387,"slug":1378,"type":15},"Figma",{"name":1389,"slug":72,"type":15},"Frontend",{"name":1321,"slug":1322,"type":15},"2026-04-12T05:06:47.939943",{"slug":1393,"name":1393,"fn":1394,"description":1395,"org":1396,"tags":1397,"stars":1305,"repoUrl":1306,"updatedAt":1407},"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},[1398,1399,1402,1403,1404],{"name":1384,"slug":1385,"type":15},{"name":1400,"slug":1401,"type":15},"Design System","design-system",{"name":1387,"slug":1378,"type":15},{"name":1389,"slug":72,"type":15},{"name":1405,"slug":1406,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":1409,"name":1409,"fn":1410,"description":1411,"org":1412,"tags":1413,"stars":1305,"repoUrl":1306,"updatedAt":1421},"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},[1414,1415,1416,1419,1420],{"name":1384,"slug":1385,"type":15},{"name":1400,"slug":1401,"type":15},{"name":1417,"slug":1418,"type":15},"Documentation","documentation",{"name":1387,"slug":1378,"type":15},{"name":1389,"slug":72,"type":15},"2026-05-16T06:07:47.821474",{"slug":1423,"name":1423,"fn":1424,"description":1425,"org":1426,"tags":1427,"stars":1305,"repoUrl":1306,"updatedAt":1433},"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},[1428,1429,1430,1431,1432],{"name":1384,"slug":1385,"type":15},{"name":1387,"slug":1378,"type":15},{"name":1389,"slug":72,"type":15},{"name":1405,"slug":1406,"type":15},{"name":1303,"slug":1304,"type":15},"2026-05-16T06:07:40.583615",{"slug":1435,"name":1435,"fn":1436,"description":1437,"org":1438,"tags":1439,"stars":1305,"repoUrl":1306,"updatedAt":1448},"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},[1440,1443,1444,1447],{"name":1441,"slug":1442,"type":15},"Animation","animation",{"name":1338,"slug":1339,"type":15},{"name":1445,"slug":1446,"type":15},"Creative","creative",{"name":1384,"slug":1385,"type":15},"2026-05-02T05:31:48.48485",{"slug":1450,"name":1450,"fn":1451,"description":1452,"org":1453,"tags":1454,"stars":1305,"repoUrl":1306,"updatedAt":1464},"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},[1455,1456,1457,1460,1463],{"name":1445,"slug":1446,"type":15},{"name":1384,"slug":1385,"type":15},{"name":1458,"slug":1459,"type":15},"Image Generation","image-generation",{"name":1461,"slug":1462,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":1467,"total":1579},[1468,1485,1501,1513,1531,1547,1567],{"slug":1469,"name":1469,"fn":1470,"description":1471,"org":1472,"tags":1473,"stars":19,"repoUrl":20,"updatedAt":1484},"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},[1474,1477,1480,1483],{"name":1475,"slug":1476,"type":15},"Accessibility","accessibility",{"name":1478,"slug":1479,"type":15},"Charts","charts",{"name":1481,"slug":1482,"type":15},"Data Visualization","data-visualization",{"name":1384,"slug":1385,"type":15},"2026-06-30T19:00:57.102",{"slug":1486,"name":1486,"fn":1487,"description":1488,"org":1489,"tags":1490,"stars":19,"repoUrl":20,"updatedAt":1500},"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},[1491,1494,1497],{"name":1492,"slug":1493,"type":15},"Agents","agents",{"name":1495,"slug":1496,"type":15},"Browser Automation","browser-automation",{"name":1498,"slug":1499,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":1502,"name":1502,"fn":1503,"description":1504,"org":1505,"tags":1506,"stars":19,"repoUrl":20,"updatedAt":1512},"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},[1507,1508,1511],{"name":1495,"slug":1496,"type":15},{"name":1509,"slug":1510,"type":15},"Local Development","local-development",{"name":1498,"slug":1499,"type":15},"2026-04-06T18:41:17.526867",{"slug":1514,"name":1514,"fn":1515,"description":1516,"org":1517,"tags":1518,"stars":19,"repoUrl":20,"updatedAt":1530},"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},[1519,1520,1521,1524,1527],{"name":1492,"slug":1493,"type":15},{"name":1354,"slug":1355,"type":15},{"name":1522,"slug":1523,"type":15},"SDK","sdk",{"name":1525,"slug":1526,"type":15},"Serverless","serverless",{"name":1528,"slug":1529,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1532,"name":1532,"fn":1533,"description":1534,"org":1535,"tags":1536,"stars":19,"repoUrl":20,"updatedAt":1546},"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},[1537,1538,1541,1544,1545],{"name":1389,"slug":72,"type":15},{"name":1539,"slug":1540,"type":15},"React","react",{"name":1542,"slug":1543,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1405,"slug":1406,"type":15},{"name":13,"slug":14,"type":15},"2026-04-06T18:40:59.619419",{"slug":1548,"name":1548,"fn":1549,"description":1550,"org":1551,"tags":1552,"stars":19,"repoUrl":20,"updatedAt":1566},"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},[1553,1556,1559,1562,1565],{"name":1554,"slug":1555,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1557,"slug":1558,"type":15},"Cost Optimization","cost-optimization",{"name":1560,"slug":1561,"type":15},"LLM","llm",{"name":1563,"slug":1564,"type":15},"Performance","performance",{"name":13,"slug":14,"type":15},"2026-04-06T18:40:44.377464",{"slug":1568,"name":1568,"fn":1569,"description":1570,"org":1571,"tags":1572,"stars":19,"repoUrl":20,"updatedAt":1578},"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},[1573,1574,1577],{"name":1557,"slug":1558,"type":15},{"name":1575,"slug":1576,"type":15},"Database","database",{"name":1560,"slug":1561,"type":15},"2026-04-06T18:41:08.513425",600]