[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-jetbrains-speech":3,"mdc--pvedzg-key":35,"related-repo-jetbrains-speech":918,"related-org-jetbrains-speech":1044},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":30,"sourceUrl":33,"mdContent":34},"speech","generate text-to-speech audio","Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts\u002Ftext_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"jetbrains","JetBrains","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fjetbrains.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Accessibility","accessibility","tag",{"name":17,"slug":18,"type":15},"Text-to-Speech","text-to-speech",{"name":20,"slug":21,"type":15},"Audio","audio",{"name":23,"slug":4,"type":15},"Speech",252,"https:\u002F\u002Fgithub.com\u002FJetBrains\u002Fskills","2026-07-13T06:38:55.835406",null,17,[],{"repoUrl":25,"stars":24,"forks":28,"topics":31,"description":32},[],"Curated agent skills collection verified by JetBrains","https:\u002F\u002Fgithub.com\u002FJetBrains\u002Fskills\u002Ftree\u002FHEAD\u002Fspeech","---\nname: \"speech\"\ndescription: \"Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts\u002Ftext_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.\"\nmetadata:\n  short-description: \"Generate narrated audio from text\"\n  author: OpenAI\n  source: https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002F.curated\u002Fspeech\n---\n\n\n# Speech Generation Skill\n\nGenerate spoken audio for the current project (narration, product demo voiceover, IVR prompts, accessibility reads). Defaults to `gpt-4o-mini-tts-2025-12-15` and built-in voices, and prefers the bundled CLI for deterministic, reproducible runs.\n\n## When to use\n- Generate a single spoken clip from text\n- Generate a batch of prompts (many lines, many files)\n\n## Decision tree (single vs batch)\n- If the user provides multiple lines\u002Fprompts or wants many outputs -> **batch**\n- Else -> **single**\n\n## Workflow\n1. Decide intent: single vs batch (see decision tree above).\n2. Collect inputs up front: exact text (verbatim), desired voice, delivery style, format, and any constraints.\n3. If batch: write a temporary JSONL under tmp\u002F (one job per line), run once, then delete the JSONL.\n4. Augment instructions into a short labeled spec without rewriting the input text.\n5. Run the bundled CLI (`scripts\u002Ftext_to_speech.py`) with sensible defaults (see references\u002Fcli.md).\n6. For important clips, validate: intelligibility, pacing, pronunciation, and adherence to constraints.\n7. Iterate with a single targeted change (voice, speed, or instructions), then re-check.\n8. Save\u002Freturn final outputs and note the final text + instructions + flags used.\n\n## Temp and output conventions\n- Use `tmp\u002Fspeech\u002F` for intermediate files (for example JSONL batches); delete when done.\n- Write final artifacts under `output\u002Fspeech\u002F` when working in this repo.\n- Use `--out` or `--out-dir` to control output paths; keep filenames stable and descriptive.\n\n## Dependencies (install if missing)\nPrefer `uv` for dependency management.\n\nPython packages:\n```\nuv pip install openai\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install openai\n```\n\n## Environment\n- `OPENAI_API_KEY` must be set for live API calls.\n\nIf the key is missing, give the user these steps:\n1. Create an API key in the OpenAI platform UI: https:\u002F\u002Fplatform.openai.com\u002Fapi-keys\n2. Set `OPENAI_API_KEY` as an environment variable in their system.\n3. Offer to guide them through setting the environment variable for their OS\u002Fshell if needed.\n- Never ask the user to paste the full key in chat. Ask them to set it locally and confirm when ready.\n\nIf installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.\n\n## Defaults & rules\n- Use `gpt-4o-mini-tts-2025-12-15` unless the user requests another model.\n- Default voice: `cedar`. If the user wants a brighter tone, prefer `marin`.\n- Built-in voices only. Custom voices are out of scope for this skill.\n- `instructions` are supported for GPT-4o mini TTS models, but not for `tts-1` or `tts-1-hd`.\n- Input length must be \u003C= 4096 characters per request. Split longer text into chunks.\n- Enforce 50 requests\u002Fminute. The CLI caps `--rpm` at 50.\n- Require `OPENAI_API_KEY` before any live API call.\n- Provide a clear disclosure to end users that the voice is AI-generated.\n- Use the OpenAI Python SDK (`openai` package) for all API calls; do not use raw HTTP.\n- Prefer the bundled CLI (`scripts\u002Ftext_to_speech.py`) over writing new one-off scripts.\n- Never modify `scripts\u002Ftext_to_speech.py`. If something is missing, ask the user before doing anything else.\n\n## Instruction augmentation\nReformat user direction into a short, labeled spec. Only make implicit details explicit; do not invent new requirements.\n\nQuick clarification (augmentation vs invention):\n- If the user says \"narration for a demo\", you may add implied delivery constraints (clear, steady pacing, friendly tone).\n- Do not introduce a new persona, accent, or emotional style the user did not request.\n\nTemplate (include only relevant lines):\n```\nVoice Affect: \u003Coverall character and texture of the voice>\nTone: \u003Cattitude, formality, warmth>\nPacing: \u003Cslow, steady, brisk>\nEmotion: \u003Ckey emotions to convey>\nPronunciation: \u003Cwords to enunciate or emphasize>\nPauses: \u003Cwhere to add intentional pauses>\nEmphasis: \u003Ckey words or phrases to stress>\nDelivery: \u003Ccadence or rhythm notes>\n```\n\nAugmentation rules:\n- Keep it short; add only details the user already implied or provided elsewhere.\n- Do not rewrite the input text.\n- If any critical detail is missing and blocks success, ask a question; otherwise proceed.\n\n## Examples\n\n### Single example (narration)\n```\nInput text: \"Welcome to the demo. Today we'll show how it works.\"\nInstructions:\nVoice Affect: Warm and composed.\nTone: Friendly and confident.\nPacing: Steady and moderate.\nEmphasis: Stress \"demo\" and \"show\".\n```\n\n### Batch example (IVR prompts)\n```\n{\"input\":\"Thank you for calling. Please hold.\",\"voice\":\"cedar\",\"response_format\":\"mp3\",\"out\":\"hold.mp3\"}\n{\"input\":\"For sales, press 1. For support, press 2.\",\"voice\":\"marin\",\"instructions\":\"Tone: Clear and neutral. Pacing: Slow.\",\"response_format\":\"wav\"}\n```\n\n## Instructioning best practices (short list)\n- Structure directions as: affect -> tone -> pacing -> emotion -> pronunciation\u002Fpauses -> emphasis.\n- Keep 4 to 8 short lines; avoid conflicting guidance.\n- For names\u002Facronyms, add pronunciation hints (e.g., \"enunciate A-I\") or supply a phonetic spelling in the text.\n- For edits\u002Fiterations, repeat invariants (e.g., \"keep pacing steady\") to reduce drift.\n- Iterate with single-change follow-ups.\n\nMore principles: `references\u002Fprompting.md`. Copy\u002Fpaste specs: `references\u002Fsample-prompts.md`.\n\n## Guidance by use case\nUse these modules when the request is for a specific delivery style. They provide targeted defaults and templates.\n- Narration \u002F explainer: `references\u002Fnarration.md`\n- Product demo \u002F voiceover: `references\u002Fvoiceover.md`\n- IVR \u002F phone prompts: `references\u002Fivr.md`\n- Accessibility reads: `references\u002Faccessibility.md`\n\n## CLI + environment notes\n- CLI commands + examples: `references\u002Fcli.md`\n- API parameter quick reference: `references\u002Faudio-api.md`\n- Instruction patterns + examples: `references\u002Fvoice-directions.md`\n- If network approvals \u002F sandbox settings are getting in the way: `references\u002Fcodex-network.md`\n\n## Reference map\n- **`references\u002Fcli.md`**: how to run speech generation\u002Fbatches via `scripts\u002Ftext_to_speech.py` (commands, flags, recipes).\n- **`references\u002Faudio-api.md`**: API parameters, limits, voice list.\n- **`references\u002Fvoice-directions.md`**: instruction patterns and examples.\n- **`references\u002Fprompting.md`**: instruction best practices (structure, constraints, iteration patterns).\n- **`references\u002Fsample-prompts.md`**: copy\u002Fpaste instruction recipes (examples only; no extra theory).\n- **`references\u002Fnarration.md`**: templates + defaults for narration and explainers.\n- **`references\u002Fvoiceover.md`**: templates + defaults for product demo voiceovers.\n- **`references\u002Fivr.md`**: templates + defaults for IVR\u002Fphone prompts.\n- **`references\u002Faccessibility.md`**: templates + defaults for accessibility reads.\n- **`references\u002Fcodex-network.md`**: environment\u002Fsandbox\u002Fnetwork-approval troubleshooting.\n",{"data":36,"body":41},{"name":4,"description":6,"metadata":37},{"short-description":38,"author":39,"source":40},"Generate narrated audio from text","OpenAI","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002F.curated\u002Fspeech",{"type":42,"children":43},"root",[44,53,68,75,90,96,120,126,178,184,233,239,252,257,269,281,290,296,310,315,348,356,361,367,504,510,515,520,533,538,547,552,570,576,583,592,598,607,613,641,661,667,672,719,725,772,778],{"type":45,"tag":46,"props":47,"children":49},"element","h1",{"id":48},"speech-generation-skill",[50],{"type":51,"value":52},"text","Speech Generation Skill",{"type":45,"tag":54,"props":55,"children":56},"p",{},[57,59,66],{"type":51,"value":58},"Generate spoken audio for the current project (narration, product demo voiceover, IVR prompts, accessibility reads). 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Only make implicit details explicit; do not invent new requirements.",{"type":45,"tag":54,"props":516,"children":517},{},[518],{"type":51,"value":519},"Quick clarification (augmentation vs invention):",{"type":45,"tag":76,"props":521,"children":522},{},[523,528],{"type":45,"tag":80,"props":524,"children":525},{},[526],{"type":51,"value":527},"If the user says \"narration for a demo\", you may add implied delivery constraints (clear, steady pacing, friendly tone).",{"type":45,"tag":80,"props":529,"children":530},{},[531],{"type":51,"value":532},"Do not introduce a new persona, accent, or emotional style the user did not request.",{"type":45,"tag":54,"props":534,"children":535},{},[536],{"type":51,"value":537},"Template (include only relevant lines):",{"type":45,"tag":258,"props":539,"children":542},{"className":540,"code":541,"language":51},[261],"Voice Affect: \u003Coverall character and texture of the voice>\nTone: \u003Cattitude, formality, warmth>\nPacing: \u003Cslow, steady, brisk>\nEmotion: \u003Ckey emotions to convey>\nPronunciation: \u003Cwords to enunciate or emphasize>\nPauses: \u003Cwhere to add intentional pauses>\nEmphasis: \u003Ckey words or phrases to stress>\nDelivery: \u003Ccadence or rhythm notes>\n",[543],{"type":45,"tag":60,"props":544,"children":545},{"__ignoreMap":266},[546],{"type":51,"value":541},{"type":45,"tag":54,"props":548,"children":549},{},[550],{"type":51,"value":551},"Augmentation rules:",{"type":45,"tag":76,"props":553,"children":554},{},[555,560,565],{"type":45,"tag":80,"props":556,"children":557},{},[558],{"type":51,"value":559},"Keep it short; add only details the user already implied or provided elsewhere.",{"type":45,"tag":80,"props":561,"children":562},{},[563],{"type":51,"value":564},"Do not rewrite the input text.",{"type":45,"tag":80,"props":566,"children":567},{},[568],{"type":51,"value":569},"If any critical detail is missing and blocks success, ask a question; otherwise proceed.",{"type":45,"tag":69,"props":571,"children":573},{"id":572},"examples",[574],{"type":51,"value":575},"Examples",{"type":45,"tag":577,"props":578,"children":580},"h3",{"id":579},"single-example-narration",[581],{"type":51,"value":582},"Single example (narration)",{"type":45,"tag":258,"props":584,"children":587},{"className":585,"code":586,"language":51},[261],"Input text: \"Welcome to the demo. Today we'll show how it works.\"\nInstructions:\nVoice Affect: Warm and composed.\nTone: Friendly and confident.\nPacing: Steady and moderate.\nEmphasis: Stress \"demo\" and \"show\".\n",[588],{"type":45,"tag":60,"props":589,"children":590},{"__ignoreMap":266},[591],{"type":51,"value":586},{"type":45,"tag":577,"props":593,"children":595},{"id":594},"batch-example-ivr-prompts",[596],{"type":51,"value":597},"Batch example (IVR prompts)",{"type":45,"tag":258,"props":599,"children":602},{"className":600,"code":601,"language":51},[261],"{\"input\":\"Thank you for calling. Please hold.\",\"voice\":\"cedar\",\"response_format\":\"mp3\",\"out\":\"hold.mp3\"}\n{\"input\":\"For sales, press 1. For support, press 2.\",\"voice\":\"marin\",\"instructions\":\"Tone: Clear and neutral. Pacing: Slow.\",\"response_format\":\"wav\"}\n",[603],{"type":45,"tag":60,"props":604,"children":605},{"__ignoreMap":266},[606],{"type":51,"value":601},{"type":45,"tag":69,"props":608,"children":610},{"id":609},"instructioning-best-practices-short-list",[611],{"type":51,"value":612},"Instructioning best practices (short list)",{"type":45,"tag":76,"props":614,"children":615},{},[616,621,626,631,636],{"type":45,"tag":80,"props":617,"children":618},{},[619],{"type":51,"value":620},"Structure directions as: affect -> tone -> pacing -> emotion -> pronunciation\u002Fpauses -> emphasis.",{"type":45,"tag":80,"props":622,"children":623},{},[624],{"type":51,"value":625},"Keep 4 to 8 short lines; avoid conflicting guidance.",{"type":45,"tag":80,"props":627,"children":628},{},[629],{"type":51,"value":630},"For names\u002Facronyms, add pronunciation hints (e.g., \"enunciate A-I\") or supply a phonetic spelling in the text.",{"type":45,"tag":80,"props":632,"children":633},{},[634],{"type":51,"value":635},"For edits\u002Fiterations, repeat invariants (e.g., \"keep pacing steady\") to reduce drift.",{"type":45,"tag":80,"props":637,"children":638},{},[639],{"type":51,"value":640},"Iterate with single-change follow-ups.",{"type":45,"tag":54,"props":642,"children":643},{},[644,646,652,654,660],{"type":51,"value":645},"More principles: ",{"type":45,"tag":60,"props":647,"children":649},{"className":648},[],[650],{"type":51,"value":651},"references\u002Fprompting.md",{"type":51,"value":653},". Copy\u002Fpaste specs: ",{"type":45,"tag":60,"props":655,"children":657},{"className":656},[],[658],{"type":51,"value":659},"references\u002Fsample-prompts.md",{"type":51,"value":401},{"type":45,"tag":69,"props":662,"children":664},{"id":663},"guidance-by-use-case",[665],{"type":51,"value":666},"Guidance by use case",{"type":45,"tag":54,"props":668,"children":669},{},[670],{"type":51,"value":671},"Use these modules when the request is for a specific delivery style. They provide targeted defaults and templates.",{"type":45,"tag":76,"props":673,"children":674},{},[675,686,697,708],{"type":45,"tag":80,"props":676,"children":677},{},[678,680],{"type":51,"value":679},"Narration \u002F explainer: ",{"type":45,"tag":60,"props":681,"children":683},{"className":682},[],[684],{"type":51,"value":685},"references\u002Fnarration.md",{"type":45,"tag":80,"props":687,"children":688},{},[689,691],{"type":51,"value":690},"Product demo \u002F voiceover: ",{"type":45,"tag":60,"props":692,"children":694},{"className":693},[],[695],{"type":51,"value":696},"references\u002Fvoiceover.md",{"type":45,"tag":80,"props":698,"children":699},{},[700,702],{"type":51,"value":701},"IVR \u002F phone prompts: ",{"type":45,"tag":60,"props":703,"children":705},{"className":704},[],[706],{"type":51,"value":707},"references\u002Fivr.md",{"type":45,"tag":80,"props":709,"children":710},{},[711,713],{"type":51,"value":712},"Accessibility reads: ",{"type":45,"tag":60,"props":714,"children":716},{"className":715},[],[717],{"type":51,"value":718},"references\u002Faccessibility.md",{"type":45,"tag":69,"props":720,"children":722},{"id":721},"cli-environment-notes",[723],{"type":51,"value":724},"CLI + environment notes",{"type":45,"tag":76,"props":726,"children":727},{},[728,739,750,761],{"type":45,"tag":80,"props":729,"children":730},{},[731,733],{"type":51,"value":732},"CLI commands + examples: ",{"type":45,"tag":60,"props":734,"children":736},{"className":735},[],[737],{"type":51,"value":738},"references\u002Fcli.md",{"type":45,"tag":80,"props":740,"children":741},{},[742,744],{"type":51,"value":743},"API parameter quick reference: ",{"type":45,"tag":60,"props":745,"children":747},{"className":746},[],[748],{"type":51,"value":749},"references\u002Faudio-api.md",{"type":45,"tag":80,"props":751,"children":752},{},[753,755],{"type":51,"value":754},"Instruction patterns + examples: ",{"type":45,"tag":60,"props":756,"children":758},{"className":757},[],[759],{"type":51,"value":760},"references\u002Fvoice-directions.md",{"type":45,"tag":80,"props":762,"children":763},{},[764,766],{"type":51,"value":765},"If network approvals \u002F sandbox settings are getting in the way: ",{"type":45,"tag":60,"props":767,"children":769},{"className":768},[],[770],{"type":51,"value":771},"references\u002Fcodex-network.md",{"type":45,"tag":69,"props":773,"children":775},{"id":774},"reference-map",[776],{"type":51,"value":777},"Reference map",{"type":45,"tag":76,"props":779,"children":780},{},[781,801,814,827,840,853,866,879,892,905],{"type":45,"tag":80,"props":782,"children":783},{},[784,792,794,799],{"type":45,"tag":105,"props":785,"children":786},{},[787],{"type":45,"tag":60,"props":788,"children":790},{"className":789},[],[791],{"type":51,"value":738},{"type":51,"value":793},": how to run speech generation\u002Fbatches via ",{"type":45,"tag":60,"props":795,"children":797},{"className":796},[],[798],{"type":51,"value":160},{"type":51,"value":800}," (commands, flags, recipes).",{"type":45,"tag":80,"props":802,"children":803},{},[804,812],{"type":45,"tag":105,"props":805,"children":806},{},[807],{"type":45,"tag":60,"props":808,"children":810},{"className":809},[],[811],{"type":51,"value":749},{"type":51,"value":813},": API parameters, limits, voice list.",{"type":45,"tag":80,"props":815,"children":816},{},[817,825],{"type":45,"tag":105,"props":818,"children":819},{},[820],{"type":45,"tag":60,"props":821,"children":823},{"className":822},[],[824],{"type":51,"value":760},{"type":51,"value":826},": instruction patterns and examples.",{"type":45,"tag":80,"props":828,"children":829},{},[830,838],{"type":45,"tag":105,"props":831,"children":832},{},[833],{"type":45,"tag":60,"props":834,"children":836},{"className":835},[],[837],{"type":51,"value":651},{"type":51,"value":839},": instruction best practices (structure, constraints, iteration patterns).",{"type":45,"tag":80,"props":841,"children":842},{},[843,851],{"type":45,"tag":105,"props":844,"children":845},{},[846],{"type":45,"tag":60,"props":847,"children":849},{"className":848},[],[850],{"type":51,"value":659},{"type":51,"value":852},": copy\u002Fpaste instruction recipes (examples only; no extra theory).",{"type":45,"tag":80,"props":854,"children":855},{},[856,864],{"type":45,"tag":105,"props":857,"children":858},{},[859],{"type":45,"tag":60,"props":860,"children":862},{"className":861},[],[863],{"type":51,"value":685},{"type":51,"value":865},": templates + defaults for narration and explainers.",{"type":45,"tag":80,"props":867,"children":868},{},[869,877],{"type":45,"tag":105,"props":870,"children":871},{},[872],{"type":45,"tag":60,"props":873,"children":875},{"className":874},[],[876],{"type":51,"value":696},{"type":51,"value":878},": templates + defaults for product demo voiceovers.",{"type":45,"tag":80,"props":880,"children":881},{},[882,890],{"type":45,"tag":105,"props":883,"children":884},{},[885],{"type":45,"tag":60,"props":886,"children":888},{"className":887},[],[889],{"type":51,"value":707},{"type":51,"value":891},": templates + defaults for IVR\u002Fphone prompts.",{"type":45,"tag":80,"props":893,"children":894},{},[895,903],{"type":45,"tag":105,"props":896,"children":897},{},[898],{"type":45,"tag":60,"props":899,"children":901},{"className":900},[],[902],{"type":51,"value":718},{"type":51,"value":904},": templates + defaults for accessibility reads.",{"type":45,"tag":80,"props":906,"children":907},{},[908,916],{"type":45,"tag":105,"props":909,"children":910},{},[911],{"type":45,"tag":60,"props":912,"children":914},{"className":913},[],[915],{"type":51,"value":771},{"type":51,"value":917},": environment\u002Fsandbox\u002Fnetwork-approval troubleshooting.",{"items":919,"total":1043},[920,939,956,972,987,1010,1027],{"slug":921,"name":921,"fn":922,"description":923,"org":924,"tags":925,"stars":24,"repoUrl":25,"updatedAt":938},"algorithmic-art","create generative art with p5.js","Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[926,929,932,935],{"name":927,"slug":928,"type":15},"Creative","creative",{"name":930,"slug":931,"type":15},"Generative Art","generative-art",{"name":933,"slug":934,"type":15},"Graphics","graphics",{"name":936,"slug":937,"type":15},"JavaScript","javascript","2026-07-13T06:41:35.540127",{"slug":940,"name":940,"fn":941,"description":942,"org":943,"tags":944,"stars":24,"repoUrl":25,"updatedAt":955},"antfu","configure JavaScript projects with Anthony Fu's tools","Anthony Fu's opinionated tooling and conventions for JavaScript\u002FTypeScript projects. Use when setting up new projects, configuring ESLint\u002FPrettier alternatives, monorepos, library publishing, or when the user mentions Anthony Fu's preferences.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[945,948,951,952],{"name":946,"slug":947,"type":15},"Best Practices","best-practices",{"name":949,"slug":950,"type":15},"Engineering","engineering",{"name":936,"slug":937,"type":15},{"name":953,"slug":954,"type":15},"TypeScript","typescript","2026-07-13T06:43:13.153309",{"slug":957,"name":957,"fn":958,"description":959,"org":960,"tags":961,"stars":24,"repoUrl":25,"updatedAt":971},"brand-guidelines","apply Anthropic brand guidelines","Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[962,965,968],{"name":963,"slug":964,"type":15},"Branding","branding",{"name":966,"slug":967,"type":15},"Design","design",{"name":969,"slug":970,"type":15},"Typography","typography","2026-07-13T06:43:06.077629",{"slug":973,"name":973,"fn":974,"description":975,"org":976,"tags":977,"stars":24,"repoUrl":25,"updatedAt":986},"canvas-design","create visual art and design assets","Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[978,979,980,983],{"name":927,"slug":928,"type":15},{"name":966,"slug":967,"type":15},{"name":981,"slug":982,"type":15},"Images","images",{"name":984,"slug":985,"type":15},"PDF","pdf","2026-07-13T06:39:58.803113",{"slug":988,"name":988,"fn":989,"description":990,"org":991,"tags":992,"stars":24,"repoUrl":25,"updatedAt":1009},"ci-cd-containerization-advisor","design CI\u002FCD pipelines for Kotlin applications","Design reproducible build, image, and deployment pipelines for Kotlin plus Spring applications, including CI verification, layered containers, rollout safety, and deployment-time migration coordination. Use when creating or improving Dockerfiles, CI workflows, image hardening, Kubernetes manifests, release gates, or deployment strategies for Spring Boot services, especially where build reproducibility and operational safety matter.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[993,996,999,1002,1003,1006],{"name":994,"slug":995,"type":15},"CI\u002FCD","ci-cd",{"name":997,"slug":998,"type":15},"Containers","containers",{"name":1000,"slug":1001,"type":15},"Deployment","deployment",{"name":949,"slug":950,"type":15},{"name":1004,"slug":1005,"type":15},"Kotlin","kotlin",{"name":1007,"slug":1008,"type":15},"Spring","spring","2026-07-13T06:41:47.83899",{"slug":1011,"name":1011,"fn":1012,"description":1013,"org":1014,"tags":1015,"stars":24,"repoUrl":25,"updatedAt":1026},"cloudflare-deploy","deploy applications 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":9},[1016,1019,1022,1025],{"name":1017,"slug":1018,"type":15},"Cloudflare","cloudflare",{"name":1020,"slug":1021,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1023,"slug":1024,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":1000,"slug":1001,"type":15},"2026-07-17T06:04:42.853896",{"slug":1028,"name":1028,"fn":1029,"description":1030,"org":1031,"tags":1032,"stars":24,"repoUrl":25,"updatedAt":1042},"compose-ui-control","interact with Compose Desktop applications","Control a running Compose Desktop application via HTTP. Use when you need to interact with UI elements, click buttons, enter text, wait for elements to appear, or capture screenshots in a Compose Desktop app that has compose-ui-test-server enabled.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1033,1036,1039],{"name":1034,"slug":1035,"type":15},"Automation","automation",{"name":1037,"slug":1038,"type":15},"Desktop","desktop",{"name":1040,"slug":1041,"type":15},"UI Components","ui-components","2026-07-13T06:40:38.798626",128,{"items":1045,"total":1170},[1046,1062,1071,1080,1091,1101,1110,1119,1128,1138,1147,1160],{"slug":1047,"name":1047,"fn":1048,"description":1049,"org":1050,"tags":1051,"stars":1059,"repoUrl":1060,"updatedAt":1061},"mps-aspect-accessories","configure JetBrains MPS module dependencies","Wire MPS module and model dependencies, used languages, used devkits, extended languages, runtime solutions, accessory models, and language\u002Fdependency versions. Use when adding\u002Fremoving module dependencies, importing languages or devkits into a model, declaring runtime solutions, or shipping accessory content visible to consumers without explicit import.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1052,1055,1058],{"name":1053,"slug":1054,"type":15},"Architecture","architecture",{"name":1056,"slug":1057,"type":15},"Configuration","configuration",{"name":949,"slug":950,"type":15},1650,"https:\u002F\u002Fgithub.com\u002FJetBrains\u002FMPS","2026-07-17T06:06:57.311661",{"slug":1063,"name":1063,"fn":1064,"description":1065,"org":1066,"tags":1067,"stars":1059,"repoUrl":1060,"updatedAt":1070},"mps-aspect-actions","define and edit MPS node factories","Use when defining or editing MPS node factories (the \"actions\" aspect) — `NodeFactories` roots, per-concept `NodeFactory` setup functions that initialize a freshly created node and optionally copy data from a replaced `sampleNode`, plus the actions aspect's `CopyPasteHandlers` and `PasteWrappers` roots. Reach for this skill when a substitution, side transform, completion replacement, or `add new initialized(...)` should preserve fields from the node it is replacing, or when defaults set in a constructor are not enough.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1068,1069],{"name":1053,"slug":1054,"type":15},{"name":949,"slug":950,"type":15},"2026-07-17T06:04:48.066901",{"slug":1072,"name":1072,"fn":1073,"description":1074,"org":1075,"tags":1076,"stars":1059,"repoUrl":1060,"updatedAt":1079},"mps-aspect-behavior","define and edit MPS concept behavior","Use when defining or editing MPS `ConceptBehavior` — per-concept methods (non-virtual \u002F virtual \u002F abstract \u002F static \u002F virtual static), constructors, virtual dispatch (MRO), super and interface-default calls (`super\u003CInterface>.method`), overriding methods from `lang.core.behavior` interfaces such as `ScopeProvider.getScope` \u002F `INamedConcept.getName` \u002F `BaseConcept.getPresentation`, calling sibling methods (`LocalBehaviorMethodCall`) and behavior methods from other aspects via `node.method(...)`. Reach for this skill whenever the task involves authoring or modifying `\u003Clang>\u002FlanguageModels\u002Fbehavior.mps`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1077,1078],{"name":1053,"slug":1054,"type":15},{"name":949,"slug":950,"type":15},"2026-07-13T06:45:21.757084",{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1084,"tags":1085,"stars":1059,"repoUrl":1060,"updatedAt":1090},"mps-aspect-constraints","define JetBrains MPS language constraints","Use when defining or editing MPS language constraints — property validators \u002F setters \u002F getters, referent search scopes (imperative or inherited via `ScopeProvider.getScope`), `referentSetHandler` side effects, default-scope blocks, `canBeChild` \u002F `canBeParent` \u002F `canBeAncestor` \u002F `canBeRoot` placement rules, `defaultConcreteConcept` for abstract concepts, `set \u003Cread-only>` and `{name}` aliasing, and scope helpers (`SimpleRoleScope`, `ListScope`, `CompositeScope`, `HidingByNameScope`). Reach for this skill whenever the task involves authoring or modifying `\u003Clang>\u002FlanguageModels\u002Fconstraints.mps`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1086,1087],{"name":1053,"slug":1054,"type":15},{"name":1088,"slug":1089,"type":15},"Code Analysis","code-analysis","2026-07-23T05:41:33.639365",{"slug":1092,"name":1092,"fn":1093,"description":1094,"org":1095,"tags":1096,"stars":1059,"repoUrl":1060,"updatedAt":1100},"mps-aspect-dataflow","define and debug MPS dataflow builders","Use when defining or debugging MPS dataflow builders for a concept — control\u002Fdata flow declarations that drive reachability analysis and variable-use checking. Covers DataFlowBuilderDeclaration, BuilderBlock, emit instructions (code for, jump, ifjump, label, read, write, ret, mayBeUnreachable), positions (AfterPosition, BeforePosition, LabelPosition), the jetbrains.mps.lang.dataFlow language, the NodeParameter implicit, BL+smodel usage inside builder bodies, and IBuilderMode for advanced analyses such as nullable\u002Fnon-null tracking.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1097],{"name":1098,"slug":1099,"type":15},"Data Analysis","data-analysis","2026-07-13T06:45:19.114674",{"slug":1102,"name":1102,"fn":1103,"description":1104,"org":1105,"tags":1106,"stars":1059,"repoUrl":1060,"updatedAt":1109},"mps-aspect-editor","define MPS editor layouts","Use when creating or changing MPS editor definitions — the overall workflow from scaffolding a `ConceptEditorDeclaration` through componentizing reusable `EditorComponentDeclaration`s, refining cell models and cell layouts, applying style sheets and indent-layout style items, wiring smart references, leveraging inheritance via super-concepts and interfaces, inspecting (`print_node_json`, `show_node_representation`) and validating (`check_root_node_problems`). Covers `jetbrains.mps.lang.editor` cell models (`CellModel_RefNode`\u002F`CellModel_RefNodeList`\u002F`CellModel_RefCell`\u002F`CellModel_Property`\u002F`CellModel_Constant`), layout choices, and JSON blueprints for common editor shapes. For the non-layout side (action maps, keymaps, transformation\u002Fsubstitute menus) use `mps-aspect-editor-menus-and-keymaps`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1107,1108],{"name":966,"slug":967,"type":15},{"name":1040,"slug":1041,"type":15},"2026-07-23T05:41:56.638151",{"slug":1111,"name":1111,"fn":1112,"description":1113,"org":1114,"tags":1115,"stars":1059,"repoUrl":1060,"updatedAt":1118},"mps-aspect-editor-menus-and-keymaps","author MPS editor menus and keymaps","Use when authoring the **non-layout** parts of the MPS editor aspect — what happens when the user types, presses a key, triggers completion, pastes, or invokes a context action. Covers action maps (`CellActionMapDeclaration`), cell keymaps (`CellKeyMapDeclaration`), transformation menus (`TransformationMenu_Default` \u002F `_Named` \u002F `_Contribution`), substitute menus (`SubstituteMenu_Default` \u002F `SubstituteMenu` \u002F contributions), side transforms (LEFT\u002FRIGHT), legacy cell menus, paste wrappers and copy-paste handlers (in the actions language), completion styling, reference presentation, two-step deletion, and the editor selection API. Trigger terms: `actionMap`, `keyMap`, `delete_action_id`, `transformationMenu`, `substituteMenu`, `Ctrl+Space`, `Ctrl+Alt+B`, side transform, paste wrapper, completion styling, `PasteWrappers`, `CopyPasteHandlers`. For the **layout** side (cells, layouts, style sheets) use `mps-aspect-editor` instead.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1116,1117],{"name":949,"slug":950,"type":15},{"name":1040,"slug":1041,"type":15},"2026-07-23T05:41:49.666535",{"slug":1120,"name":1120,"fn":1121,"description":1122,"org":1123,"tags":1124,"stars":1059,"repoUrl":1060,"updatedAt":1127},"mps-aspect-generation-plan","modify MPS generation plans","Use when defining or modifying an MPS generation plan — explicit ordering of generators, checkpoints for cross-model reference resolution, forks for parallel branches, IncludePlan composition, conditional PlanContribution activation, ParameterEquals\u002FConceptListSelector fork selectors, and InitModelAttributes for targetFacet routing. Apply when working with @genplan models, the jetbrains.mps.lang.generator.plan language, attaching plans via DevKits or the Custom generation facet, or debugging cross-model mapping label resolution.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1125,1126],{"name":1053,"slug":1054,"type":15},{"name":949,"slug":950,"type":15},"2026-07-13T06:44:59.507855",{"slug":1129,"name":1129,"fn":1130,"description":1131,"org":1132,"tags":1133,"stars":1059,"repoUrl":1060,"updatedAt":1137},"mps-aspect-generator","define JetBrains MPS generator rules","Use when defining or modifying MPS generators — author a generator module, add or edit root\u002Freduction\u002Fweaving\u002Fpattern mapping rules, attach template macros ($COPY_SRC, $LOOP, $IF, $PROPERTY, $REF, $SWITCH, $MAP_SRC, $WEAVE, $INSERT, $LABEL, $TRACE, $VAR), wire mapping labels, build template switches, write pre\u002Fpost mapping scripts, navigate `genContext`, or debug \"rule didn't fire\", missing references, empty output, infinite reduction loops, and generated-Java compile failures.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1134,1135,1136],{"name":1053,"slug":1054,"type":15},{"name":1088,"slug":1089,"type":15},{"name":949,"slug":950,"type":15},"2026-07-17T06:06:58.042999",{"slug":1139,"name":1139,"fn":1140,"description":1141,"org":1142,"tags":1143,"stars":1059,"repoUrl":1060,"updatedAt":1146},"mps-aspect-intentions","define and edit MPS intentions","Use when defining or editing MPS intentions (the Alt+Enter context-action aspect) — adding `IntentionDeclaration` roots, parameterized or surround-with variants, description\u002FisApplicable\u002Fexecute blocks, child-filter functions, factory-initialized AST splicing, or debugging why an intention is not offered. Lives in the language's `intentions` model and uses `jetbrains.mps.lang.intentions`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1144,1145],{"name":1053,"slug":1054,"type":15},{"name":949,"slug":950,"type":15},"2026-07-23T05:41:48.692899",{"slug":1148,"name":1148,"fn":1149,"description":1150,"org":1151,"tags":1152,"stars":1059,"repoUrl":1060,"updatedAt":1159},"mps-aspect-migrations","author and debug MPS migration scripts","Use when authoring or debugging MPS migration scripts that upgrade user models after a language definition changes — covers jetbrains.mps.lang.migration (MigrationScript class-based, PureMigrationScript declarative, MoveConcept\u002FMoveContainmentLink\u002FMoveReferenceLink\u002FMoveProperty, ordering via OrderDependency, data exchange via putData\u002FgetData, RefactoringLog, ConceptMigrationReference) and jetbrains.mps.lang.script Enhancement Scripts (MigrationScript with MigrationScriptPart_Instance, ExtractInterfaceMigration, FactoryMigrationScriptPart, CommentMigrationScriptPart) — when a model needs version-gated upgrade, concept rename or removal, link or property rename, instance-level transformation, or composition of migration steps.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1153,1156],{"name":1154,"slug":1155,"type":15},"Debugging","debugging",{"name":1157,"slug":1158,"type":15},"Migration","migration","2026-07-13T06:45:20.372122",{"slug":1161,"name":1161,"fn":1162,"description":1163,"org":1164,"tags":1165,"stars":1059,"repoUrl":1060,"updatedAt":1169},"mps-aspect-structure-concepts","define concepts in MPS structure aspect","Define concepts, interface concepts, enumerations, and constrained data types in an MPS language's `structure` aspect. Covers smart-reference detection, alias rules, cardinality, INamedConcept usage, bulk creation, and the full `mps_mcp_alter_structure` \u002F `mps_mcp_query_structure` reference. Use when authoring or modifying a language's structure model.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1166],{"name":1167,"slug":1168,"type":15},"Data Modeling","data-modeling","2026-07-23T05:41:30.705975",188]