[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-transcribe":3,"mdc-az542-key":34,"related-repo-openai-transcribe":510,"related-org-openai-transcribe":636},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"transcribe","transcribe audio with diarization","Transcribe audio files to text with optional diarization and known-speaker hints. 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Use when a user asks to transcribe speech from audio\u002Fvideo, extract text from recordings, or label speakers in interviews or meetings.\"\n---\n\n\n# Audio Transcribe\n\nTranscribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.\n\n## Workflow\n1. Collect inputs: audio file path(s), desired response format (text\u002Fjson\u002Fdiarized_json), optional language hint, and any known speaker references.\n2. Verify `OPENAI_API_KEY` is set. If missing, ask the user to set it locally (do not ask them to paste the key).\n3. Run the bundled `transcribe_diarize.py` CLI with sensible defaults (fast text transcription).\n4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed.\n5. Save outputs under `output\u002Ftranscribe\u002F` when working in this repo.\n\n## Decision rules\n- Default to `gpt-4o-mini-transcribe` with `--response-format text` for fast transcription.\n- If the user wants speaker labels or diarization, use `--model gpt-4o-transcribe-diarize --response-format diarized_json`.\n- If audio is longer than ~30 seconds, keep `--chunking-strategy auto`.\n- Prompting is not supported for `gpt-4o-transcribe-diarize`.\n\n## Output conventions\n- Use `output\u002Ftranscribe\u002F\u003Cjob-id>\u002F` for evaluation runs.\n- Use `--out-dir` for multiple files to avoid overwriting.\n\n## Dependencies (install if missing)\nPrefer `uv` for dependency management.\n\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- If the key is missing, instruct the user to create one in the OpenAI platform UI and export it in their shell.\n- Never ask the user to paste the full key in chat.\n\n## Skill path (set once)\n\n```bash\nexport CODEX_HOME=\"${CODEX_HOME:-$HOME\u002F.codex}\"\nexport TRANSCRIBE_CLI=\"$CODEX_HOME\u002Fskills\u002Ftranscribe\u002Fscripts\u002Ftranscribe_diarize.py\"\n```\n\nUser-scoped skills install under `$CODEX_HOME\u002Fskills` (default: `~\u002F.codex\u002Fskills`).\n\n## CLI quick start\nSingle file (fast text default):\n```\npython3 \"$TRANSCRIBE_CLI\" \\\n  path\u002Fto\u002Faudio.wav \\\n  --out transcript.txt\n```\n\nDiarization with known speakers (up to 4):\n```\npython3 \"$TRANSCRIBE_CLI\" \\\n  meeting.m4a \\\n  --model gpt-4o-transcribe-diarize \\\n  --known-speaker \"Alice=refs\u002Falice.wav\" \\\n  --known-speaker \"Bob=refs\u002Fbob.wav\" \\\n  --response-format diarized_json \\\n  --out-dir output\u002Ftranscribe\u002Fmeeting\n```\n\nPlain text output (explicit):\n```\npython3 \"$TRANSCRIBE_CLI\" \\\n  interview.mp3 \\\n  --response-format text \\\n  --out interview.txt\n```\n\n## Reference map\n- `references\u002Fapi.md`: supported formats, limits, response formats, and known-speaker notes.\n",{"data":35,"body":36},{"name":4,"description":6},{"type":37,"children":38},"root",[39,48,54,61,116,122,184,190,218,224,237,249,261,270,276,299,305,415,436,442,447,456,461,470,475,484,490,504],{"type":40,"tag":41,"props":42,"children":44},"element","h1",{"id":43},"audio-transcribe",[45],{"type":46,"value":47},"text","Audio Transcribe",{"type":40,"tag":49,"props":50,"children":51},"p",{},[52],{"type":46,"value":53},"Transcribe audio using OpenAI, with optional speaker diarization when requested. 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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},[590,593,596,599],{"name":591,"slug":592,"type":15},"Productivity","productivity",{"name":594,"slug":595,"type":15},"Project Management","project-management",{"name":597,"slug":598,"type":15},"Strategy","strategy",{"name":600,"slug":601,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":604,"name":604,"fn":605,"description":606,"org":607,"tags":608,"stars":23,"repoUrl":24,"updatedAt":618},"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},[609,612,614,617],{"name":610,"slug":611,"type":15},"Design","design",{"name":613,"slug":604,"type":15},"Figma",{"name":615,"slug":616,"type":15},"Frontend","frontend",{"name":546,"slug":547,"type":15},"2026-04-12T05:06:47.939943",{"slug":620,"name":620,"fn":621,"description":622,"org":623,"tags":624,"stars":23,"repoUrl":24,"updatedAt":634},"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},[625,626,629,630,631],{"name":610,"slug":611,"type":15},{"name":627,"slug":628,"type":15},"Design System","design-system",{"name":613,"slug":604,"type":15},{"name":615,"slug":616,"type":15},{"name":632,"slug":633,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",29,{"items":637,"total":766},[638,659,667,674,680,687,694,701,709,723,735,750],{"slug":639,"name":639,"fn":640,"description":641,"org":642,"tags":643,"stars":656,"repoUrl":657,"updatedAt":658},"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},[644,647,650,653],{"name":645,"slug":646,"type":15},"Documents","documents",{"name":648,"slug":649,"type":15},"Healthcare","healthcare",{"name":651,"slug":652,"type":15},"Insurance","insurance",{"name":654,"slug":655,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":513,"name":513,"fn":514,"description":515,"org":660,"tags":661,"stars":23,"repoUrl":24,"updatedAt":532},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[662,663,664,665,666],{"name":519,"slug":520,"type":15},{"name":522,"slug":513,"type":15},{"name":524,"slug":525,"type":15},{"name":527,"slug":528,"type":15},{"name":530,"slug":531,"type":15},{"slug":534,"name":534,"fn":535,"description":536,"org":668,"tags":669,"stars":23,"repoUrl":24,"updatedAt":549},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[670,671,672,673],{"name":540,"slug":541,"type":15},{"name":543,"slug":544,"type":15},{"name":546,"slug":547,"type":15},{"name":9,"slug":8,"type":15},{"slug":551,"name":551,"fn":552,"description":553,"org":675,"tags":676,"stars":23,"repoUrl":24,"updatedAt":564},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[677,678,679],{"name":557,"slug":558,"type":15},{"name":560,"slug":561,"type":15},{"name":563,"slug":372,"type":15},{"slug":566,"name":566,"fn":567,"description":568,"org":681,"tags":682,"stars":23,"repoUrl":24,"updatedAt":583},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[683,684,685,686],{"name":572,"slug":573,"type":15},{"name":575,"slug":576,"type":15},{"name":578,"slug":579,"type":15},{"name":581,"slug":582,"type":15},{"slug":585,"name":585,"fn":586,"description":587,"org":688,"tags":689,"stars":23,"repoUrl":24,"updatedAt":602},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[690,691,692,693],{"name":591,"slug":592,"type":15},{"name":594,"slug":595,"type":15},{"name":597,"slug":598,"type":15},{"name":600,"slug":601,"type":15},{"slug":604,"name":604,"fn":605,"description":606,"org":695,"tags":696,"stars":23,"repoUrl":24,"updatedAt":618},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[697,698,699,700],{"name":610,"slug":611,"type":15},{"name":613,"slug":604,"type":15},{"name":615,"slug":616,"type":15},{"name":546,"slug":547,"type":15},{"slug":620,"name":620,"fn":621,"description":622,"org":702,"tags":703,"stars":23,"repoUrl":24,"updatedAt":634},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[704,705,706,707,708],{"name":610,"slug":611,"type":15},{"name":627,"slug":628,"type":15},{"name":613,"slug":604,"type":15},{"name":615,"slug":616,"type":15},{"name":632,"slug":633,"type":15},{"slug":710,"name":710,"fn":711,"description":712,"org":713,"tags":714,"stars":23,"repoUrl":24,"updatedAt":722},"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},[715,716,717,720,721],{"name":610,"slug":611,"type":15},{"name":627,"slug":628,"type":15},{"name":718,"slug":719,"type":15},"Documentation","documentation",{"name":613,"slug":604,"type":15},{"name":615,"slug":616,"type":15},"2026-05-16T06:07:47.821474",{"slug":724,"name":724,"fn":725,"description":726,"org":727,"tags":728,"stars":23,"repoUrl":24,"updatedAt":734},"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},[729,730,731,732,733],{"name":610,"slug":611,"type":15},{"name":613,"slug":604,"type":15},{"name":615,"slug":616,"type":15},{"name":632,"slug":633,"type":15},{"name":530,"slug":531,"type":15},"2026-05-16T06:07:40.583615",{"slug":736,"name":736,"fn":737,"description":738,"org":739,"tags":740,"stars":23,"repoUrl":24,"updatedAt":749},"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},[741,744,745,748],{"name":742,"slug":743,"type":15},"Animation","animation",{"name":563,"slug":372,"type":15},{"name":746,"slug":747,"type":15},"Creative","creative",{"name":610,"slug":611,"type":15},"2026-05-02T05:31:48.48485",{"slug":751,"name":751,"fn":752,"description":753,"org":754,"tags":755,"stars":23,"repoUrl":24,"updatedAt":765},"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},[756,757,758,761,764],{"name":746,"slug":747,"type":15},{"name":610,"slug":611,"type":15},{"name":759,"slug":760,"type":15},"Image Generation","image-generation",{"name":762,"slug":763,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]