[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-figma-use-motion":3,"mdc-5fo1s3-key":36,"related-repo-openai-figma-use-motion":948,"related-org-openai-figma-use-motion":1070},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"figma-use-motion","animate Figma nodes with motion tools","Motion \u002F animation context for the `use_figma` MCP tool — animating Figma nodes via manual keyframes, animation styles, easing, and timeline duration. Load alongside figma-use whenever a task involves adding, editing, or inspecting animation on a node.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"MCP","mcp","tag",{"name":17,"slug":18,"type":15},"Animation","animation",{"name":20,"slug":21,"type":15},"Figma","figma",{"name":23,"slug":24,"type":15},"Design","design",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-25T07:26:15.328698",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Ffigma\u002Fskills\u002Ffigma-use-motion","---\nname: figma-use-motion\ndescription: \"Motion \u002F animation context for the `use_figma` MCP tool — animating Figma nodes via manual keyframes, animation styles, easing, and timeline duration. Load alongside figma-use whenever a task involves adding, editing, or inspecting animation on a node.\"\ndisable-model-invocation: false\n---\n\n# use_figma — Figma Plugin API Skill for Motion\n\nMotion context for the `use_figma` MCP tool. [figma-use](..\u002Ffigma-use\u002FSKILL.md) covers the foundational Plugin API rules — load both together.\n\n**Always pass `skillNames: \"figma-use-motion\"` (comma-separated alongside `figma-use`) when calling `use_figma` for motion work.** Logging only.\n\n## Runtime Gating\n\nMotion APIs are gated behind the `metronome` user feature flag. When the calling user doesn't have it, every motion property and helper referenced in this skill throws `\"\u003Cname>\" is not a supported API`.\n\n**Bail out fast on that error.** Do not retry; tell the user motion isn't enabled for them and stop. Otherwise you'll burn calls and confuse the user with repeated identical failures.\n\n## When to use this skill\n\nLoad this skill whenever a `use_figma` task involves:\n\n- Adding, editing, or removing keyframes on a node (`manualKeyframeTracks`, `applyManualKeyframeTrack`, `removeManualKeyframeTrack`).\n- Animating fill or stroke colors over time.\n- Applying, editing, or removing animation styles (`applyAnimationStyle`, `removeAnimationStyle`, `animationStyles`).\n- Reading or writing timeline duration via `node.timelines` \u002F `node.setTimelineDuration(id, seconds)`.\n- Choosing easing for any of the above.\n\nStatic design work (creating shapes, components, variables, layout) goes through [figma-use](..\u002Ffigma-use\u002FSKILL.md) alone — this skill is only for the time dimension.\n\n## Exposed motion API surface\n\n- `node.manualKeyframeTracks` — read\u002Fwrite manual keyframes (including fill, stroke, and effect tracks).\n- `node.applyManualKeyframeTrack(field, track)` \u002F `node.removeManualKeyframeTrack(field)` — add, replace, or remove one manual keyframe track without rewriting the whole object.\n- `node.animationStyles` — read\u002Fwrite animation-style metadata applied to a node.\n- `node.applyAnimationStyle(styleId, presetData?)` \u002F `node.removeAnimationStyle(id)` — apply a discovered style and remove an applied style instance by its returned\u002Fread-back `id`.\n- `node.timelines` — read-only timeline list for the containing top-level frame, with durations in seconds.\n- `node.setTimelineDuration(id, durationSeconds)` — write the containing top-level frame timeline duration.\n- `node.animations` — read-only resolved keyframe data (currently manual tracks only — see [motion-patterns.md](references\u002Fmotion-patterns.md)).\n- `figma.motion.figmaAnimationStyles()` — read-only list of Figma's first-party animation styles.\n\nAuthoring custom `\"figma:motion\"` preset module source code is out of scope. If the user wants a brand-new animation style, say so and stop; don't fabricate one.\n\n## Reference docs\n\nLoad these as needed based on what the task involves:\n\n| Doc | When to load | What it covers |\n|-----|-------------|----------------|\n| [motion-patterns.md](references\u002Fmotion-patterns.md) | Adding\u002Fediting motion animation | Manual keyframes, animated fills\u002Fstrokes, applying animation styles, timeline duration |\n| [motion-easing.md](references\u002Fmotion-easing.md) | Setting animation easing | Keyframe easing objects, custom cubic\u002Fspring, `HOLD`, applying easing inside an animation style |\n\n## Verifying the animation\n\n`get_screenshot` shows only the timeline's **resting state**, never motion. To check motion, `export_video` and sample frames — but it renders server-side and is **slow and expensive (~10s to minutes)**, so make each render count.\n\n**Plan before rendering — cost scales with pixels × frames, so keep both no larger than the frames need:**\n\n1. **Pick the moments first.** You need one frame per *phase* (e.g. per stagger step, or start \u002F mid \u002F settle), not smooth playback — usually 4–6. This count sets your fps.\n2. **Size to what you must read.** Start small — `constraint: { type: 'WIDTH', value: 320 }`, `quality: \"low\"` — but text and small elements blur there, so raise `WIDTH` (768+) when you need to judge fine detail. Omitting `constraint` = full size (1x; server clamps to 10x \u002F 4096px).\n3. **Set fps just high enough to land those frames:** `fps: 5` covers a handful; 10 is an upper bound. Higher just bloats the render.\n\n**Mechanics:** `export_video` works only on a **top-level frame** whose children carry the animation (pass that frame, not the descendant you keyframed). It returns a `jobId` with `status: \"processing\"` — re-invoke with `{ fileKey, jobId }` to poll. Then extract frames locally with `ffmpeg -ss \u003Ct> -i anim.mp4 -frames:v 1 frame_\u003Ct>.png` — extraction is free, so once you've paid for the render, mine it for every frame that tells you something rather than re-exporting. Without a frame extractor like `ffmpeg`, skip the export and reason about the keyframes instead.\n\n**Iterate until it's right.** The export is a diagnostic, not a sign-off: if the frames are wrong (bad order, off timing, a missing element, a mask blanking the composite), fix the keyframes\u002Fstyles and re-export. Read *all* the frames and batch every fix into one pass before re-rendering — every render carries real overhead, so make each one count instead of re-exporting after each small change.\n\nSkip the export entirely for trivial or self-evident changes.\n\n## Pre-flight checklist\n\nIn addition to the [figma-use pre-flight checklist](..\u002Ffigma-use\u002FSKILL.md#8-pre-flight-checklist), verify:\n\n- [ ] Easing uses the public `{ type: 'EASE_OUT', easingFunctionCubicBezier?: …, easingFunctionSpring?: … }` shape — not internal scenegraph names like `OUT_CUBIC`.\n- [ ] Ease-in-out uses the exact public enum `EASE_IN_AND_OUT` (or `EASE_IN_AND_OUT_BACK`); never emit the invalid alias `EASE_IN_OUT`.\n- [ ] The node being animated is not a top-level frame (direct child of a page). Animate descendants instead.\n- [ ] Timeline values are seconds in the public Plugin API. Extend via `setTimelineDuration`; never shorten unless the user asked.\n- [ ] Transform keyframe fields use public names (`TRANSLATION_X`, `TRANSLATION_Y`, `ROTATION`, `SCALE_X`, `SCALE_Y`, `SCALE_XY`), not internal `MOTION_*` scenegraph names.\n- [ ] Manual keyframe fields come from the public allowlist in [motion-patterns.md](references\u002Fmotion-patterns.md#animatable-fields); generated\u002Finternal scenegraph fields intentionally throw.\n- [ ] Mutated node IDs are returned (per `figma-use` Rule 15).\n- [ ] When motion correctness isn't self-evident and a frame extractor (`ffmpeg`) is available, verify via `export_video` + frame sampling — render small, low `fps`, iterate until right (see the Verifying the animation section above). `get_screenshot` shows only the resting state.\n",{"data":37,"body":39},{"name":4,"description":6,"disable-model-invocation":38},false,{"type":40,"children":41},"root",[42,51,75,108,115,136,146,152,164,253,264,270,388,401,407,412,495,501,534,542,623,686,703,708,714,727],{"type":43,"tag":44,"props":45,"children":47},"element","h1",{"id":46},"use_figma-figma-plugin-api-skill-for-motion",[48],{"type":49,"value":50},"text","use_figma — Figma Plugin API Skill for Motion",{"type":43,"tag":52,"props":53,"children":54},"p",{},[55,57,64,66,73],{"type":49,"value":56},"Motion context for the ",{"type":43,"tag":58,"props":59,"children":61},"code",{"className":60},[],[62],{"type":49,"value":63},"use_figma",{"type":49,"value":65}," MCP tool. 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It returns a ",{"type":43,"tag":58,"props":647,"children":649},{"className":648},[],[650],{"type":49,"value":651},"jobId",{"type":49,"value":653}," with ",{"type":43,"tag":58,"props":655,"children":657},{"className":656},[],[658],{"type":49,"value":659},"status: \"processing\"",{"type":49,"value":661}," — re-invoke with ",{"type":43,"tag":58,"props":663,"children":665},{"className":664},[],[666],{"type":49,"value":667},"{ fileKey, jobId }",{"type":49,"value":669}," to poll. Then extract frames locally with ",{"type":43,"tag":58,"props":671,"children":673},{"className":672},[],[674],{"type":49,"value":675},"ffmpeg -ss \u003Ct> -i anim.mp4 -frames:v 1 frame_\u003Ct>.png",{"type":49,"value":677}," — extraction is free, so once you've paid for the render, mine it for every frame that tells you something rather than re-exporting. Without a frame extractor like ",{"type":43,"tag":58,"props":679,"children":681},{"className":680},[],[682],{"type":49,"value":683},"ffmpeg",{"type":49,"value":685},", skip the export and reason about the keyframes instead.",{"type":43,"tag":52,"props":687,"children":688},{},[689,694,696,701],{"type":43,"tag":79,"props":690,"children":691},{},[692],{"type":49,"value":693},"Iterate until it's right.",{"type":49,"value":695}," The export is a diagnostic, not a sign-off: if the frames are wrong (bad order, off timing, a missing element, a mask blanking the composite), fix the keyframes\u002Fstyles and re-export. Read ",{"type":43,"tag":557,"props":697,"children":698},{},[699],{"type":49,"value":700},"all",{"type":49,"value":702}," the frames and batch every fix into one pass before re-rendering — every render carries real overhead, so make each one count instead of re-exporting after each small change.",{"type":43,"tag":52,"props":704,"children":705},{},[706],{"type":49,"value":707},"Skip the export entirely for trivial or self-evident changes.",{"type":43,"tag":109,"props":709,"children":711},{"id":710},"pre-flight-checklist",[712],{"type":49,"value":713},"Pre-flight checklist",{"type":43,"tag":52,"props":715,"children":716},{},[717,719,725],{"type":49,"value":718},"In addition to the ",{"type":43,"tag":67,"props":720,"children":722},{"href":721},"..\u002Ffigma-use\u002FSKILL.md#8-pre-flight-checklist",[723],{"type":49,"value":724},"figma-use pre-flight checklist",{"type":49,"value":726},", verify:",{"type":43,"tag":165,"props":728,"children":731},{"className":729},[730],"contains-task-list",[732,760,792,801,818,878,894,910],{"type":43,"tag":169,"props":733,"children":736},{"className":734},[735],"task-list-item",[737,743,745,751,753,759],{"type":43,"tag":738,"props":739,"children":742},"input",{"disabled":740,"type":741},true,"checkbox",[],{"type":49,"value":744}," Easing uses the public ",{"type":43,"tag":58,"props":746,"children":748},{"className":747},[],[749],{"type":49,"value":750},"{ type: 'EASE_OUT', easingFunctionCubicBezier?: …, easingFunctionSpring?: … }",{"type":49,"value":752}," shape — not internal scenegraph names like ",{"type":43,"tag":58,"props":754,"children":756},{"className":755},[],[757],{"type":49,"value":758},"OUT_CUBIC",{"type":49,"value":135},{"type":43,"tag":169,"props":761,"children":763},{"className":762},[735],[764,767,769,775,777,783,785,791],{"type":43,"tag":738,"props":765,"children":766},{"disabled":740,"type":741},[],{"type":49,"value":768}," Ease-in-out uses the exact public enum ",{"type":43,"tag":58,"props":770,"children":772},{"className":771},[],[773],{"type":49,"value":774},"EASE_IN_AND_OUT",{"type":49,"value":776}," (or ",{"type":43,"tag":58,"props":778,"children":780},{"className":779},[],[781],{"type":49,"value":782},"EASE_IN_AND_OUT_BACK",{"type":49,"value":784},"); never emit the invalid alias ",{"type":43,"tag":58,"props":786,"children":788},{"className":787},[],[789],{"type":49,"value":790},"EASE_IN_OUT",{"type":49,"value":135},{"type":43,"tag":169,"props":793,"children":795},{"className":794},[735],[796,799],{"type":43,"tag":738,"props":797,"children":798},{"disabled":740,"type":741},[],{"type":49,"value":800}," The node being animated is not a top-level frame (direct child of a page). Animate descendants instead.",{"type":43,"tag":169,"props":802,"children":804},{"className":803},[735],[805,808,810,816],{"type":43,"tag":738,"props":806,"children":807},{"disabled":740,"type":741},[],{"type":49,"value":809}," Timeline values are seconds in the public Plugin API. Extend via ",{"type":43,"tag":58,"props":811,"children":813},{"className":812},[],[814],{"type":49,"value":815},"setTimelineDuration",{"type":49,"value":817},"; never shorten unless the user asked.",{"type":43,"tag":169,"props":819,"children":821},{"className":820},[735],[822,825,827,833,834,840,841,847,848,854,855,861,862,868,870,876],{"type":43,"tag":738,"props":823,"children":824},{"disabled":740,"type":741},[],{"type":49,"value":826}," Transform keyframe fields use public names (",{"type":43,"tag":58,"props":828,"children":830},{"className":829},[],[831],{"type":49,"value":832},"TRANSLATION_X",{"type":49,"value":181},{"type":43,"tag":58,"props":835,"children":837},{"className":836},[],[838],{"type":49,"value":839},"TRANSLATION_Y",{"type":49,"value":181},{"type":43,"tag":58,"props":842,"children":844},{"className":843},[],[845],{"type":49,"value":846},"ROTATION",{"type":49,"value":181},{"type":43,"tag":58,"props":849,"children":851},{"className":850},[],[852],{"type":49,"value":853},"SCALE_X",{"type":49,"value":181},{"type":43,"tag":58,"props":856,"children":858},{"className":857},[],[859],{"type":49,"value":860},"SCALE_Y",{"type":49,"value":181},{"type":43,"tag":58,"props":863,"children":865},{"className":864},[],[866],{"type":49,"value":867},"SCALE_XY",{"type":49,"value":869},"), not internal ",{"type":43,"tag":58,"props":871,"children":873},{"className":872},[],[874],{"type":49,"value":875},"MOTION_*",{"type":49,"value":877}," scenegraph names.",{"type":43,"tag":169,"props":879,"children":881},{"className":880},[735],[882,885,887,892],{"type":43,"tag":738,"props":883,"children":884},{"disabled":740,"type":741},[],{"type":49,"value":886}," Manual keyframe fields come from the public allowlist in ",{"type":43,"tag":67,"props":888,"children":890},{"href":889},"references\u002Fmotion-patterns.md#animatable-fields",[891],{"type":49,"value":375},{"type":49,"value":893},"; generated\u002Finternal scenegraph fields intentionally throw.",{"type":43,"tag":169,"props":895,"children":897},{"className":896},[735],[898,901,903,908],{"type":43,"tag":738,"props":899,"children":900},{"disabled":740,"type":741},[],{"type":49,"value":902}," Mutated node IDs are returned (per ",{"type":43,"tag":58,"props":904,"children":906},{"className":905},[],[907],{"type":49,"value":72},{"type":49,"value":909}," Rule 15).",{"type":43,"tag":169,"props":911,"children":913},{"className":912},[735],[914,917,919,924,926,931,933,939,941,946],{"type":43,"tag":738,"props":915,"children":916},{"disabled":740,"type":741},[],{"type":49,"value":918}," When motion correctness isn't self-evident and a frame extractor (",{"type":43,"tag":58,"props":920,"children":922},{"className":921},[],[923],{"type":49,"value":683},{"type":49,"value":925},") is available, verify via ",{"type":43,"tag":58,"props":927,"children":929},{"className":928},[],[930],{"type":49,"value":524},{"type":49,"value":932}," + frame sampling — render small, low ",{"type":43,"tag":58,"props":934,"children":936},{"className":935},[],[937],{"type":49,"value":938},"fps",{"type":49,"value":940},", iterate until right (see the Verifying the animation section above). ",{"type":43,"tag":58,"props":942,"children":944},{"className":943},[],[945],{"type":49,"value":509},{"type":49,"value":947}," shows only the resting state.",{"items":949,"total":1069},[950,967,983,995,1015,1037,1057],{"slug":951,"name":951,"fn":952,"description":953,"org":954,"tags":955,"stars":25,"repoUrl":26,"updatedAt":966},"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},[956,959,962,965],{"name":957,"slug":958,"type":15},"Accessibility","accessibility",{"name":960,"slug":961,"type":15},"Charts","charts",{"name":963,"slug":964,"type":15},"Data Visualization","data-visualization",{"name":23,"slug":24,"type":15},"2026-06-30T19:00:57.102",{"slug":968,"name":968,"fn":969,"description":970,"org":971,"tags":972,"stars":25,"repoUrl":26,"updatedAt":982},"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},[973,976,979],{"name":974,"slug":975,"type":15},"Agents","agents",{"name":977,"slug":978,"type":15},"Browser Automation","browser-automation",{"name":980,"slug":981,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":984,"name":984,"fn":985,"description":986,"org":987,"tags":988,"stars":25,"repoUrl":26,"updatedAt":994},"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},[989,990,993],{"name":977,"slug":978,"type":15},{"name":991,"slug":992,"type":15},"Local Development","local-development",{"name":980,"slug":981,"type":15},"2026-04-06T18:41:17.526867",{"slug":996,"name":996,"fn":997,"description":998,"org":999,"tags":1000,"stars":25,"repoUrl":26,"updatedAt":1014},"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},[1001,1002,1005,1008,1011],{"name":974,"slug":975,"type":15},{"name":1003,"slug":1004,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1006,"slug":1007,"type":15},"SDK","sdk",{"name":1009,"slug":1010,"type":15},"Serverless","serverless",{"name":1012,"slug":1013,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":1016,"name":1016,"fn":1017,"description":1018,"org":1019,"tags":1020,"stars":25,"repoUrl":26,"updatedAt":1036},"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},[1021,1024,1027,1030,1033],{"name":1022,"slug":1023,"type":15},"Frontend","frontend",{"name":1025,"slug":1026,"type":15},"React","react",{"name":1028,"slug":1029,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":1031,"slug":1032,"type":15},"UI Components","ui-components",{"name":1034,"slug":1035,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":1038,"name":1038,"fn":1039,"description":1040,"org":1041,"tags":1042,"stars":25,"repoUrl":26,"updatedAt":1056},"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},[1043,1046,1049,1052,1055],{"name":1044,"slug":1045,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1047,"slug":1048,"type":15},"Cost Optimization","cost-optimization",{"name":1050,"slug":1051,"type":15},"LLM","llm",{"name":1053,"slug":1054,"type":15},"Performance","performance",{"name":1034,"slug":1035,"type":15},"2026-04-06T18:40:44.377464",{"slug":1058,"name":1058,"fn":1059,"description":1060,"org":1061,"tags":1062,"stars":25,"repoUrl":26,"updatedAt":1068},"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},[1063,1064,1067],{"name":1047,"slug":1048,"type":15},{"name":1065,"slug":1066,"type":15},"Database","database",{"name":1050,"slug":1051,"type":15},"2026-04-06T18:41:08.513425",600,{"items":1071,"total":1262},[1072,1093,1116,1131,1147,1164,1183,1193,1207,1221,1233,1246],{"slug":1073,"name":1073,"fn":1074,"description":1075,"org":1076,"tags":1077,"stars":1090,"repoUrl":1091,"updatedAt":1092},"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},[1078,1081,1084,1087],{"name":1079,"slug":1080,"type":15},"Documents","documents",{"name":1082,"slug":1083,"type":15},"Healthcare","healthcare",{"name":1085,"slug":1086,"type":15},"Insurance","insurance",{"name":1088,"slug":1089,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":1094,"name":1094,"fn":1095,"description":1096,"org":1097,"tags":1098,"stars":1113,"repoUrl":1114,"updatedAt":1115},"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},[1099,1102,1104,1107,1110],{"name":1100,"slug":1101,"type":15},".NET","dotnet",{"name":1103,"slug":1094,"type":15},"ASP.NET Core",{"name":1105,"slug":1106,"type":15},"Blazor","blazor",{"name":1108,"slug":1109,"type":15},"C#","csharp",{"name":1111,"slug":1112,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":1117,"name":1117,"fn":1118,"description":1119,"org":1120,"tags":1121,"stars":1113,"repoUrl":1114,"updatedAt":1130},"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},[1122,1125,1128,1129],{"name":1123,"slug":1124,"type":15},"Apps SDK","apps-sdk",{"name":1126,"slug":1127,"type":15},"ChatGPT","chatgpt",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1132,"name":1132,"fn":1133,"description":1134,"org":1135,"tags":1136,"stars":1113,"repoUrl":1114,"updatedAt":1146},"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},[1137,1140,1143],{"name":1138,"slug":1139,"type":15},"API Development","api-development",{"name":1141,"slug":1142,"type":15},"CLI","cli",{"name":1144,"slug":1145,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1148,"name":1148,"fn":1149,"description":1150,"org":1151,"tags":1152,"stars":1113,"repoUrl":1114,"updatedAt":1163},"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},[1153,1156,1159,1160],{"name":1154,"slug":1155,"type":15},"Cloudflare","cloudflare",{"name":1157,"slug":1158,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1003,"slug":1004,"type":15},{"name":1161,"slug":1162,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1165,"name":1165,"fn":1166,"description":1167,"org":1168,"tags":1169,"stars":1113,"repoUrl":1114,"updatedAt":1182},"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},[1170,1173,1176,1179],{"name":1171,"slug":1172,"type":15},"Productivity","productivity",{"name":1174,"slug":1175,"type":15},"Project Management","project-management",{"name":1177,"slug":1178,"type":15},"Strategy","strategy",{"name":1180,"slug":1181,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":21,"name":21,"fn":1184,"description":1185,"org":1186,"tags":1187,"stars":1113,"repoUrl":1114,"updatedAt":1192},"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},[1188,1189,1190,1191],{"name":23,"slug":24,"type":15},{"name":20,"slug":21,"type":15},{"name":1022,"slug":1023,"type":15},{"name":13,"slug":14,"type":15},"2026-04-12T05:06:47.939943",{"slug":1194,"name":1194,"fn":1195,"description":1196,"org":1197,"tags":1198,"stars":1113,"repoUrl":1114,"updatedAt":1206},"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},[1199,1200,1203,1204,1205],{"name":23,"slug":24,"type":15},{"name":1201,"slug":1202,"type":15},"Design System","design-system",{"name":20,"slug":21,"type":15},{"name":1022,"slug":1023,"type":15},{"name":1031,"slug":1032,"type":15},"2026-05-10T05:59:52.971881",{"slug":1208,"name":1208,"fn":1209,"description":1210,"org":1211,"tags":1212,"stars":1113,"repoUrl":1114,"updatedAt":1220},"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},[1213,1214,1215,1218,1219],{"name":23,"slug":24,"type":15},{"name":1201,"slug":1202,"type":15},{"name":1216,"slug":1217,"type":15},"Documentation","documentation",{"name":20,"slug":21,"type":15},{"name":1022,"slug":1023,"type":15},"2026-05-16T06:07:47.821474",{"slug":1222,"name":1222,"fn":1223,"description":1224,"org":1225,"tags":1226,"stars":1113,"repoUrl":1114,"updatedAt":1232},"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},[1227,1228,1229,1230,1231],{"name":23,"slug":24,"type":15},{"name":20,"slug":21,"type":15},{"name":1022,"slug":1023,"type":15},{"name":1031,"slug":1032,"type":15},{"name":1111,"slug":1112,"type":15},"2026-05-16T06:07:40.583615",{"slug":1234,"name":1234,"fn":1235,"description":1236,"org":1237,"tags":1238,"stars":1113,"repoUrl":1114,"updatedAt":1245},"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},[1239,1240,1241,1244],{"name":17,"slug":18,"type":15},{"name":1144,"slug":1145,"type":15},{"name":1242,"slug":1243,"type":15},"Creative","creative",{"name":23,"slug":24,"type":15},"2026-05-02T05:31:48.48485",{"slug":1247,"name":1247,"fn":1248,"description":1249,"org":1250,"tags":1251,"stars":1113,"repoUrl":1114,"updatedAt":1261},"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},[1252,1253,1254,1257,1260],{"name":1242,"slug":1243,"type":15},{"name":23,"slug":24,"type":15},{"name":1255,"slug":1256,"type":15},"Image Generation","image-generation",{"name":1258,"slug":1259,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]