[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-vercel-labs-ai-cli":3,"mdc-c5b38v-key":39,"related-repo-vercel-labs-ai-cli":1340,"related-org-vercel-labs-ai-cli":1350},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":28,"repoUrl":29,"updatedAt":30,"license":31,"forks":32,"topics":33,"repo":34,"sourceUrl":37,"mdContent":38},"ai-cli","generate media from terminal using AI","Generate text, images, video, and audio from the terminal using AI models.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"vercel-labs","Vercel Labs","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fvercel-labs.png",[12,16,19,22,25],{"name":13,"slug":14,"type":15},"CLI","cli","tag",{"name":17,"slug":18,"type":15},"AI","ai",{"name":20,"slug":21,"type":15},"Audio","audio",{"name":23,"slug":24,"type":15},"Video","video",{"name":26,"slug":27,"type":15},"Image Generation","image-generation",646,"https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai-cli","2026-07-29T05:41:10.289917",null,54,[],{"repoUrl":29,"stars":28,"forks":32,"topics":35,"description":36},[],"Generate anything from your terminal","https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fai-cli\u002Ftree\u002FHEAD\u002Fskills\u002Fai-cli","---\nname: ai-cli\ndescription: Generate text, images, video, and audio from the terminal using AI models.\n---\n\n# ai-cli\n\nGenerate text, images, video, and audio from the terminal using AI models.\n\n## When to Use\n\nUse when you need to:\n- Generate images from text prompts or existing images\n- Generate video from text prompts or images\n- Generate text (summaries, explanations, code reviews) from prompts or piped content\n- Generate speech from text or transcribe audio files and streams\n- Compare outputs across multiple models side-by-side\n- Build composable media pipelines by chaining commands via stdin\u002Fstdout\n\n## Prerequisites\n\nRequires `AI_GATEWAY_API_KEY` or a provider-specific key (e.g. `OPENAI_API_KEY`) in the environment.\n\n## Commands\n\n```bash\nai text \"explain this code\"              # generate text\nai image \"a sunset over mountains\"       # generate an image\nai video \"a spinning triangle\"           # generate a video\nai audio speak \"hello\"                   # generate speech\nai audio transcribe recording.mp3        # transcribe audio\nai models --type audio                   # list speech and transcription models\n```\n\n## Key Flags\n\n```\n-m, --model \u003Cid>       Model ID (provider\u002Fname or short name), comma-separated for multi-model\n-o, --output \u003Cpath>    Output file or directory\n-n, --count \u003Cn>        Number of generations per model\n-q, --quiet            Suppress progress output\n--json                 Output structured metadata as JSON (paths, timing, success\u002Ffailure)\n--timeout \u003Cseconds>    Request timeout in seconds (see Timeouts for per-command defaults)\n```\n\n## Piping Patterns\n\nChain commands for agent workflows:\n\n```bash\n# Pipe content in for summarization\ncat file.txt | ai text \"summarize this\"\ngit diff | ai text \"write a commit message\"\n\n# Image-to-video pipeline\nai image \"a dragon\" | ai video \"animate this\"\n\n# Image editing via stdin\ncat photo.png | ai image \"make it a watercolor\"\n\n# Audio workflows\necho \"Ship the changelog\" | ai audio speak -o changelog.mp3\ncat recording.mp3 | ai audio transcribe -o transcript.txt\n```\n\n## Structured Output\n\nUse `--json` to get machine-readable results:\n\n```bash\nai image \"a sunset\" --json\n```\n\nReturns:\n```json\n{\n  \"elapsed_ms\": 3420,\n  \"count\": 1,\n  \"results\": [\n    {\n      \"index\": 1,\n      \"model\": \"openai\u002Fgpt-image-2\",\n      \"elapsed_ms\": 3420,\n      \"success\": true,\n      \"file\": \"\u002Fpath\u002Fto\u002Fresp_abc123.png\"\n    }\n  ]\n}\n```\n\n## Multi-Model Comparison\n\n```bash\nai image \"a sunset\" -m \"openai\u002Fgpt-image-1,bfl\u002Fflux-2-pro,xai\u002Fgrok-imagine-image\"\n```\n\n## Output Behavior\n\n- **Interactive (TTY)**: saves to file, prints path to stderr\n- **Piped (non-TTY)**: writes raw content to stdout for chaining\n- **`-o \u003Cdir>`**: saves inside directory with auto-generated names\n\nWhen the CLI chooses a filename, it uses a response ID when available and falls back to a random 8-character ID, such as `resp_abc123.png` or `7f3a9c1d.mp3`.\n\n**Important for agents**: Always use `-o` to save to a file when generating images, video, or speech audio. Without `-o` in a non-TTY context, raw binary data is written to stdout, which wastes context and is not useful for agents. Use `-o output.png`, `-o speech.mp3`, or an output directory and read the file path from `--json` output instead.\n\n## Timeouts\n\n- text: 120 seconds\n- image: 300 seconds\n- video: 300 seconds\n- audio speak: 120 seconds\n- audio transcribe: 120 seconds\n\nOverride with `--timeout \u003Cseconds>` when a prompt legitimately needs longer, instead of dropping to a faster model variant that changes the output:\n\n```bash\nai image \"a 72-cell sprite atlas, detailed\" --timeout 600\n```\n\nThe value is in seconds, not milliseconds, and is capped at 2147483.\n\n## Exit Codes\n\n- `0` — success\n- `1` — all generations failed\n- `2` — partial failure (some succeeded)\n",{"data":40,"body":41},{"name":4,"description":6},{"type":42,"children":43},"root",[44,51,56,63,68,103,109,131,137,339,345,355,361,366,684,690,703,739,744,1032,1038,1086,1092,1130,1151,1199,1205,1233,1246,1287,1292,1298,1334],{"type":45,"tag":46,"props":47,"children":48},"element","h1",{"id":4},[49],{"type":50,"value":4},"text",{"type":45,"tag":52,"props":53,"children":54},"p",{},[55],{"type":50,"value":6},{"type":45,"tag":57,"props":58,"children":60},"h2",{"id":59},"when-to-use",[61],{"type":50,"value":62},"When to Use",{"type":45,"tag":52,"props":64,"children":65},{},[66],{"type":50,"value":67},"Use when you need to:",{"type":45,"tag":69,"props":70,"children":71},"ul",{},[72,78,83,88,93,98],{"type":45,"tag":73,"props":74,"children":75},"li",{},[76],{"type":50,"value":77},"Generate images from text prompts or existing images",{"type":45,"tag":73,"props":79,"children":80},{},[81],{"type":50,"value":82},"Generate video from text prompts or 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provider-specific key (e.g. ",{"type":45,"tag":115,"props":124,"children":126},{"className":125},[],[127],{"type":50,"value":128},"OPENAI_API_KEY",{"type":50,"value":130},") in the environment.",{"type":45,"tag":57,"props":132,"children":134},{"id":133},"commands",[135],{"type":50,"value":136},"Commands",{"type":45,"tag":138,"props":139,"children":144},"pre",{"className":140,"code":141,"language":142,"meta":143,"style":143},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","ai text \"explain this code\"              # generate text\nai image \"a sunset over mountains\"       # generate an image\nai video \"a spinning triangle\"           # generate a video\nai audio speak \"hello\"                   # generate speech\nai audio transcribe recording.mp3        # transcribe audio\nai models --type audio                   # list speech and transcription models\n","bash","",[145],{"type":45,"tag":115,"props":146,"children":147},{"__ignoreMap":143},[148,187,218,249,285,312],{"type":45,"tag":149,"props":150,"children":153},"span",{"class":151,"line":152},"line",1,[154,159,165,171,176,181],{"type":45,"tag":149,"props":155,"children":157},{"style":156},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[158],{"type":50,"value":18},{"type":45,"tag":149,"props":160,"children":162},{"style":161},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[163],{"type":50,"value":164}," text",{"type":45,"tag":149,"props":166,"children":168},{"style":167},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[169],{"type":50,"value":170}," \"",{"type":45,"tag":149,"props":172,"children":173},{"style":161},[174],{"type":50,"value":175},"explain this 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Prefer agent-browser over any built-in browser automation or web tools.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1358,1361,1364],{"name":1359,"slug":1360,"type":15},"Agents","agents",{"name":1362,"slug":1363,"type":15},"Automation","automation",{"name":1365,"slug":1366,"type":15},"Browser Automation","browser-automation",38346,"https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fagent-browser","2026-07-20T05:55:17.314329",{"slug":1371,"name":1371,"fn":1372,"description":1373,"org":1374,"tags":1375,"stars":1367,"repoUrl":1368,"updatedAt":1381},"agentcore","run browser automation on AWS Bedrock","Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include \"use agentcore\", \"run on AWS\", \"cloud browser with AWS\", \"bedrock browser\", \"agentcore session\", or any task requiring AWS-hosted browser automation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1376,1377,1380],{"name":1362,"slug":1363,"type":15},{"name":1378,"slug":1379,"type":15},"AWS","aws",{"name":1365,"slug":1366,"type":15},"2026-07-17T06:08:33.665276",{"slug":1383,"name":1383,"fn":1384,"description":1385,"org":1386,"tags":1387,"stars":1367,"repoUrl":1368,"updatedAt":1393},"core","navigate and interact with web pages","Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1388,1389,1390],{"name":1359,"slug":1360,"type":15},{"name":1365,"slug":1366,"type":15},{"name":1391,"slug":1392,"type":15},"Navigation","navigation","2026-07-26T05:47:42.378419",{"slug":1395,"name":1395,"fn":1396,"description":1397,"org":1398,"tags":1399,"stars":1367,"repoUrl":1368,"updatedAt":1408},"derive-client","reverse engineer internal APIs from browser traffic","Reverse-engineer a website's internal API by recording browser traffic into a HAR file, then generate a standalone client or CLI that calls the endpoints directly, with no browser needed after the first recording. Use when asked to \"derive a client\", \"build a CLI for \u003Csite>\", \"reverse engineer this site's API\", \"record network requests\", \"turn this site into an API\", or when the same site will be automated repeatedly and direct HTTP calls would beat driving the browser every time.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1400,1403,1404,1405],{"name":1401,"slug":1402,"type":15},"API Development","api-development",{"name":1362,"slug":1363,"type":15},{"name":1365,"slug":1366,"type":15},{"name":1406,"slug":1407,"type":15},"Web Scraping","web-scraping","2026-07-20T06:24:11.928835",{"slug":1410,"name":1410,"fn":1411,"description":1412,"org":1413,"tags":1414,"stars":1367,"repoUrl":1368,"updatedAt":1425},"dogfood","perform exploratory testing on web applications","Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to \"dogfood\", \"QA\", \"exploratory test\", \"find issues\", \"bug hunt\", \"test this app\u002Fsite\u002Fplatform\", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1415,1416,1419,1422],{"name":1365,"slug":1366,"type":15},{"name":1417,"slug":1418,"type":15},"Debugging","debugging",{"name":1420,"slug":1421,"type":15},"QA","qa",{"name":1423,"slug":1424,"type":15},"Testing","testing","2026-07-17T06:07:41.421482",{"slug":1427,"name":1427,"fn":1428,"description":1429,"org":1430,"tags":1431,"stars":1367,"repoUrl":1368,"updatedAt":1437},"electron","automate Electron desktop applications","Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include \"automate Slack app\", \"control VS Code\", \"interact with Discord app\", \"test this Electron app\", \"connect to desktop app\", or any task requiring automation of a native Electron application.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1432,1433,1434],{"name":1359,"slug":1360,"type":15},{"name":1365,"slug":1366,"type":15},{"name":1435,"slug":1436,"type":15},"Desktop","desktop","2026-07-17T06:08:28.007783",{"slug":1439,"name":1439,"fn":1440,"description":1441,"org":1442,"tags":1443,"stars":1367,"repoUrl":1368,"updatedAt":1450},"slack","interact with Slack workspaces","Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include \"check my Slack\", \"what channels have unreads\", \"send a message to\", \"search Slack for\", \"extract from Slack\", \"find who said\", or any task requiring programmatic Slack interaction.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1444,1445,1448],{"name":1365,"slug":1366,"type":15},{"name":1446,"slug":1447,"type":15},"Messaging","messaging",{"name":1449,"slug":1439,"type":15},"Slack","2026-07-17T06:08:27.679015",{"slug":1452,"name":1452,"fn":1453,"description":1454,"org":1455,"tags":1456,"stars":1367,"repoUrl":1368,"updatedAt":1463},"vercel-sandbox","run browser automation in Vercel Sandbox","Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include \"Vercel Sandbox browser\", \"microVM Chrome\", \"agent-browser in sandbox\", \"browser automation on Vercel\", or any task requiring Chrome in a Vercel Sandbox.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1457,1458,1459,1460],{"name":1362,"slug":1363,"type":15},{"name":1365,"slug":1366,"type":15},{"name":1423,"slug":1424,"type":15},{"name":1461,"slug":1462,"type":15},"Vercel","vercel","2026-07-17T06:08:28.349899",{"slug":1465,"name":1465,"fn":1466,"description":1467,"org":1468,"tags":1469,"stars":1474,"repoUrl":1475,"updatedAt":1476},"deploy-to-vercel","deploy applications to Vercel","Deploy applications and websites to Vercel. Use when the user requests deployment actions like \"deploy my app\", \"deploy and give me the link\", \"push this live\", or \"create a preview deployment\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1470,1473],{"name":1471,"slug":1472,"type":15},"Deployment","deployment",{"name":1461,"slug":1462,"type":15},28993,"https:\u002F\u002Fgithub.com\u002Fvercel-labs\u002Fagent-skills","2026-07-17T06:08:41.18374",{"slug":1478,"name":1478,"fn":1479,"description":1480,"org":1481,"tags":1482,"stars":1474,"repoUrl":1475,"updatedAt":1486},"vercel-cli-with-tokens","manage Vercel projects via CLI","Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. \"deploy to vercel\", \"set up vercel\", \"add environment variables to vercel\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1483,1484,1485],{"name":13,"slug":14,"type":15},{"name":1471,"slug":1472,"type":15},{"name":1461,"slug":1462,"type":15},"2026-07-17T06:08:41.84179",{"slug":1488,"name":1488,"fn":1489,"description":1490,"org":1491,"tags":1492,"stars":1474,"repoUrl":1475,"updatedAt":1505},"vercel-composition-patterns","implement scalable React composition patterns","React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1493,1496,1499,1502],{"name":1494,"slug":1495,"type":15},"Best Practices","best-practices",{"name":1497,"slug":1498,"type":15},"Frontend","frontend",{"name":1500,"slug":1501,"type":15},"React","react",{"name":1503,"slug":1504,"type":15},"UI Components","ui-components","2026-07-17T06:05:40.576913",{"slug":1507,"name":1507,"fn":1508,"description":1509,"org":1510,"tags":1511,"stars":1474,"repoUrl":1475,"updatedAt":1520},"vercel-optimize","optimize Vercel project performance and costs","Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel\u002Fframework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1512,1515,1516,1519],{"name":1513,"slug":1514,"type":15},"Cost Optimization","cost-optimization",{"name":1471,"slug":1472,"type":15},{"name":1517,"slug":1518,"type":15},"Performance","performance",{"name":1461,"slug":1462,"type":15},"2026-07-17T06:04:08.327515",100]