[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7B9VDP6YQACEPAVT4AXP1BX":3,"skill-same:01M7B9VDP6YQACEPAVT4AXP1BX":59},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":29,"commitSha":30,"skillDirectory":31,"forksCount":13,"repositoryHtmlUrl":32,"repositoryHomepageUrl":6,"ownerHtmlUrl":33,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":34,"install":35,"resources":48},"01M7B9VDP6YQACEPAVT4AXP1BX","music",null,"Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.","vikasvardhanv\u002Fjerry_skills","vikasvardhanv","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F99010657?v=4","01M7B2B0VN78W7529RQX5BR6DZ","01M7B2B0WDNTXJHRK3QNPNWRP6",0,"MIT","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated_premium_skills\u002FOpenMontage\u002F.agents\u002Fskills\u002Fmusic\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: music\ndescription: Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.\nlicense: MIT\ncompatibility: Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).\nmetadata: {\"openclaw\": {\"requires\": {\"env\": [\"ELEVENLABS_API_KEY\"]}, \"primaryEnv\": \"ELEVENLABS_API_KEY\"}}\n---\n\n# ElevenLabs Music Generation\n\nGenerate music from text prompts - supports instrumental tracks, songs with lyrics, and fine-grained control via composition plans.\n\n> **Setup:** See [Installation Guide](references\u002Finstallation.md). For JavaScript, use `@elevenlabs\u002F*` packages only.\n\n## Quick Start\n\n### Python\n\n```python\nfrom elevenlabs import ElevenLabs\n\nclient = ElevenLabs()\n\naudio = client.music.compose(\n    prompt=\"A chill lo-fi hip hop beat with jazzy piano chords\",\n    music_length_ms=30000\n)\n\nwith open(\"output.mp3\", \"wb\") as f:\n    for chunk in audio:\n        f.write(chunk)\n```\n\n### JavaScript\n\n```javascript\nimport { ElevenLabsClient } from \"@elevenlabs\u002Felevenlabs-js\";\nimport { createWriteStream } from \"fs\";\n\nconst client = new ElevenLabsClient();\nconst audio = await client.music.compose({\n  prompt: \"A chill lo-fi hip hop beat with jazzy piano chords\",\n  musicLengthMs: 30000,\n});\naudio.pipe(createWriteStream(\"output.mp3\"));\n```\n\n### cURL\n\n```bash\ncurl -X POST \"https:\u002F\u002Fapi.elevenlabs.io\u002Fv1\u002Fmusic\" \\\n  -H \"xi-api-key: $ELEVENLABS_API_KEY\" -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\"prompt\": \"A chill lo-fi beat\", \"music_length_ms\": 30000}' --output output.mp3\n```\n\n## Methods\n\n| Method | Description |\n|--------|-------------|\n| `music.compose` | Generate audio from a prompt or composition plan |\n| `music.composition_plan.create` | Generate a structured plan for fine-grained control |\n| `music.compose_detailed` | Generate audio + composition plan + metadata |\n| `music.upload` | Upload an audio file for later inpainting workflows and optionally extract its composition plan |\n\nSee [API Reference](references\u002Fapi_reference.md) for full parameter details.\n\n`music.upload` is available to enterprise clients with access to the inpainting feature.\n\n## Composition Plans\n\nFor granular control, generate a composition plan first, modify it, then compose:\n\n```python\nplan = client.music.composition_plan.create(\n    prompt=\"An epic orchestral piece building to a climax\",\n    music_length_ms=60000\n)\n\n# Inspect\u002Fmodify styles and sections\nprint(plan.positiveGlobalStyles)  # e.g. [\"orchestral\", \"epic\", \"cinematic\"]\n\naudio = client.music.compose(\n    composition_plan=plan,\n    music_length_ms=60000\n)\n```\n\n## Content Restrictions\n\n- Cannot reference specific artists, bands, or copyrighted lyrics\n- `bad_prompt` errors include a `prompt_suggestion` with alternative phrasing\n- `bad_composition_plan` errors include a `composition_plan_suggestion`\n\n## Error Handling\n\n```python\ntry:\n    audio = client.music.compose(prompt=\"...\", music_length_ms=30000)\nexcept Exception as e:\n    print(f\"API error: {e}\")\n```\n\nCommon errors: 401 (invalid key), 422 (invalid params), 429 (rate limit).\n\n## References\n\n- [Installation Guide](references\u002Finstallation.md)\n- [API Reference](references\u002Fapi_reference.md)\n","# ElevenLabs Music Generation\n\nGenerate music from text prompts - supports instrumental tracks, songs with lyrics, and fine-grained control via composition plans.\n\n> **Setup:** See [Installation Guide](references\u002Finstallation.md). For JavaScript, use `@elevenlabs\u002F*` packages only.\n\n## Quick Start\n\n### Python\n\n```python\nfrom elevenlabs import ElevenLabs\n\nclient = ElevenLabs()\n\naudio = client.music.compose(\n    prompt=\"A chill lo-fi hip hop beat with jazzy piano chords\",\n    music_length_ms=30000\n)\n\nwith open(\"output.mp3\", \"wb\") as f:\n    for chunk in audio:\n        f.write(chunk)\n```\n\n### JavaScript\n\n```javascript\nimport { ElevenLabsClient } from \"@elevenlabs\u002Felevenlabs-js\";\nimport { createWriteStream } from \"fs\";\n\nconst client = new ElevenLabsClient();\nconst audio = await client.music.compose({\n  prompt: \"A chill lo-fi hip hop beat with jazzy piano chords\",\n  musicLengthMs: 30000,\n});\naudio.pipe(createWriteStream(\"output.mp3\"));\n```\n\n### cURL\n\n```bash\ncurl -X POST \"https:\u002F\u002Fapi.elevenlabs.io\u002Fv1\u002Fmusic\" \\\n  -H \"xi-api-key: $ELEVENLABS_API_KEY\" -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\"prompt\": \"A chill lo-fi beat\", \"music_length_ms\": 30000}' --output output.mp3\n```\n\n## Methods\n\n| Method | Description |\n|--------|-------------|\n| `music.compose` | Generate audio from a prompt or composition plan |\n| `music.composition_plan.create` | Generate a structured plan for fine-grained control |\n| `music.compose_detailed` | Generate audio + composition plan + metadata |\n| `music.upload` | Upload an audio file for later inpainting workflows and optionally extract its composition plan |\n\nSee [API Reference](references\u002Fapi_reference.md) for full parameter details.\n\n`music.upload` is available to enterprise clients with access to the inpainting feature.\n\n## Composition Plans\n\nFor granular control, generate a composition plan first, modify it, then compose:\n\n```python\nplan = client.music.composition_plan.create(\n    prompt=\"An epic orchestral piece building to a climax\",\n    music_length_ms=60000\n)\n\n# Inspect\u002Fmodify styles and sections\nprint(plan.positiveGlobalStyles)  # e.g. [\"orchestral\", \"epic\", \"cinematic\"]\n\naudio = client.music.compose(\n    composition_plan=plan,\n    music_length_ms=60000\n)\n```\n\n## Content Restrictions\n\n- Cannot reference specific artists, bands, or copyrighted lyrics\n- `bad_prompt` errors include a `prompt_suggestion` with alternative phrasing\n- `bad_composition_plan` errors include a `composition_plan_suggestion`\n\n## Error Handling\n\n```python\ntry:\n    audio = client.music.compose(prompt=\"...\", music_length_ms=30000)\nexcept Exception as e:\n    print(f\"API error: {e}\")\n```\n\nCommon errors: 401 (invalid key), 422 (invalid params), 429 (rate limit).\n\n## References\n\n- [Installation Guide](references\u002Finstallation.md)\n- [API Reference](references\u002Fapi_reference.md)\n",{"name":5,"license":14,"metadata":23,"description":7,"compatibility":28},{"openclaw":24},{"requires":25,"primaryEnv":27},{"env":26},[27],"ELEVENLABS_API_KEY","Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).","main","1eb986d0b0ecc180291597e08eb5a58288843536","skills\u002Fcurated_premium_skills\u002FOpenMontage\u002F.agents\u002Fskills\u002Fmusic","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv","2026-08-25 13:16:33",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add vikasvardhanv\u002Fjerry_skills --skill music",{"tool":41,"command":42},"bunx","bunx skills add vikasvardhanv\u002Fjerry_skills --skill music",{"tool":44,"command":45},"pnpm","pnpm dlx skills add vikasvardhanv\u002Fjerry_skills --skill music","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated_premium_skills\u002FOpenMontage\u002F.agents\u002Fskills\u002Fmusic\u002FSKILL.md",true,[49,55],{"path":50,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":53,"sourceHtmlUrl":54},"references\u002Fapi_reference.md","REFERENCE","参考文档",5047,"https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated_premium_skills\u002FOpenMontage\u002F.agents\u002Fskills\u002Fmusic\u002Freferences\u002Fapi_reference.md",{"path":56,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":57,"sourceHtmlUrl":58},"references\u002Finstallation.md",1512,"https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fcurated_premium_skills\u002FOpenMontage\u002F.agents\u002Fskills\u002Fmusic\u002Freferences\u002Finstallation.md",[60,67,74,81,88,95],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":66,"publishedAt":18},"01M7BESR1CJ3H5SP9XM8KYJZ9W","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[],[],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":73,"publishedAt":18},"01M7BES1YA6R97W7QPMFFM1PED","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[],[],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":18},"01M7BERNHYGY035AR00VRT03KE","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[],[],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":18},"01M7BERCK1EAKTWW7R436WAR0J","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[],[],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":18},"01M7BEQZAZAQRTXFJRY7RHV3TY","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[],[],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":18},"01M7BEQKJ45K31QK5VRAQSVJCJ","grants","NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance\u002FInnovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget\u002Fscope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.","https:\u002F\u002Fgithub.com\u002Fvikasvardhanv\u002Fjerry_skills\u002Fblob\u002Fmain\u002Fskills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[],[]]