[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6R2345HM48PETAFT88KJX24":3,"skill-same:01M6R2345HM48PETAFT88KJX24":132},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M6R2345HM48PETAFT88KJX24","speech",null,"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.","Mishit18\u002Fclaude-code-templates","Mishit18","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F244127857?v=4","01M6QXBYKWM76HSKYDNWSKKE41","Mishit Sharma","01M6QXBYRJ0CAVM51S1RTEKTZZ",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002FSKILL.md",[],[5,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"voiceover","when","custom","for","calls","text-to-speech","scripts","scope","live","creation","cli","narration","use","text","Audio","api","batch","openai","run","2026-11-10 10:12:30",false,"---\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.\"\nauthor: openai\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\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\n",{"name":5,"author":37,"description":7},"main","015422534a7457348a313b6381f0255d3364eb8c","cli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech",0,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates","https:\u002F\u002Fgithub.com\u002FMishit18","2026-11-14 17:36:32",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add Mishit18\u002Fclaude-code-templates --skill speech",{"tool":57,"command":58},"bunx","bunx skills add Mishit18\u002Fclaude-code-templates --skill speech",{"tool":60,"command":61},"pnpm","pnpm dlx skills add Mishit18\u002Fclaude-code-templates --skill speech","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002FSKILL.md",true,[65,71,77,81,86,90,94,98,102,106,110,114,118,122,126],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"agents\u002Fopenai.yaml","REFERENCE","参考文档",300,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Fagents\u002Fopenai.yaml",{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"assets\u002Fspeech-small.svg","ASSET","资产文件",742,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Fassets\u002Fspeech-small.svg",{"path":78,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":79,"sourceHtmlUrl":80},"assets\u002Fspeech.png",1234,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Fassets\u002Fspeech.png",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",10777,{"path":87,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Faccessibility.md",697,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Faccessibility.md",{"path":91,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Faudio-api.md",903,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Faudio-api.md",{"path":95,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Fcli.md",3276,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fcli.md",{"path":99,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fcodex-network.md",1149,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fcodex-network.md",{"path":103,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":104,"sourceHtmlUrl":105},"references\u002Fivr.md",709,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fivr.md",{"path":107,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":108,"sourceHtmlUrl":109},"references\u002Fnarration.md",672,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fnarration.md",{"path":111,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":112,"sourceHtmlUrl":113},"references\u002Fprompting.md",1554,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fprompting.md",{"path":115,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":116,"sourceHtmlUrl":117},"references\u002Fsample-prompts.md",992,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fsample-prompts.md",{"path":119,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":120,"sourceHtmlUrl":121},"references\u002Fvoice-directions.md",2156,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fvoice-directions.md",{"path":123,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":124,"sourceHtmlUrl":125},"references\u002Fvoiceover.md",791,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Freferences\u002Fvoiceover.md",{"path":127,"resourceType":128,"resourceTypeDesc":129,"sizeBytes":130,"sourceHtmlUrl":131},"scripts\u002Ftext_to_speech.py","SCRIPT","脚本",15593,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fmedia\u002Fspeech\u002Fscripts\u002Ftext_to_speech.py",[133,164,190,217,244,269],{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":137,"sourceHtmlUrl":138,"categories":139,"keywords":145,"publishedAt":39},"01M6R4ARN4W2VZRDERDTMN1KP0","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[140],{"categoryNo":141,"categoryName":142,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[146,147,148,149,150,151,152,153,154,155,156,157,158,159,32,160,161,162,23,163],"web artifacts builder","web","artifacts","artifacts builder","builder","frontend","css","components","react","routing","state management","state","file","Tailwind","single-file","ui components","multi","single",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":175,"publishedAt":39},"01M6R45GXREM5DP8T08MAC788H","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[171,174],{"categoryNo":172,"categoryName":173,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":141,"categoryName":142,"taxonomyType":143,"taxonomyTypeDesc":144},[176,177,178,151,179,180,147,181,182,183,184,185,186,187,188,189,23],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","ui","logs","applications","behavior","local","with",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":198,"publishedAt":39},"01M6R2GYJ470X8EB7R58V0B68K","think-tank","Run a Virtual Think Tank — a structured multi-persona debate — before planning or making architectural\u002Fdesign\u002Fstrategic decisions. Use this skill whenever the user is about to plan a system, make a technology choice, evaluate trade-offs, decide on an approach, or faces any decision where multiple perspectives would sharpen the outcome. Also trigger when the user says \"think tank\", \"debate this\", \"perspectives on\", \"trade-offs\", \"should I use X or Y\", \"help me decide\", \"before we plan\", or asks for pros\u002Fcons of competing approaches. This skill should run BEFORE any implementation planning begins — it produces a structured analysis that feeds into better plans.","MIT","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FSKILL.md",[],[199,200,201,38,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,21],"think tank","think","design","feeds","analysis","persona","plan","sharpen","virtual","decision","choice","decide","perspectives","outcome","me","debate","make","trade-offs",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":221,"sourceHtmlUrl":222,"categories":223,"keywords":227,"publishedAt":39},"01M6R2FSR55AVRFA9YZ8SC2GZG","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[224],{"categoryNo":225,"categoryName":226,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000023","Skill与智能体开发",[228,229,230,231,232,233,234,235,236,237,238,239,240,241,189,23,242,21,243],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":245,"name":246,"nameZh":6,"description":247,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":6,"sourceHtmlUrl":248,"categories":249,"keywords":250,"publishedAt":39},"01M6R2FK42ZZ4HJTJVVK9WJBBP","ship-learn-next","Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fship-learn-next\u002FSKILL.md",[],[251,252,253,254,255,256,257,258,32,259,260,261,262,263,264,265,266,267,268,21],"learn","ship learn next","ship","next","framework","learning","read","write","advice","implementation","youtube","plans","quest","transform","actionable","action","lessons","youtube transcripts",{"skillNo":270,"name":271,"nameZh":6,"description":272,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":273,"sourceHtmlUrl":274,"categories":275,"keywords":282,"publishedAt":39},"01M6R2088G1RHDA5MDX16HASRB","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[276,279],{"categoryNo":277,"categoryName":278,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":280,"categoryName":281,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000016","图像与多媒体",[283,284,285,229,286,287,288,289,234,32,213,241,215,290,291,23,292,21],"slack gif creator","slack","gif","validation","Tools","constraints","Animation","Utilities","concepts","request"]