[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DD5PEWCFABMNKHZD228WYR":3,"skill-same:01M6DD5PEWCFABMNKHZD228WYR":75},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6DD5PEWCFABMNKHZD228WYR","voice-analyze",null,"Reverse-engineer voice profiles from sample content by analyzing writing patterns. Use when user pastes writing samples and wants to extract their style.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fvoice-analyze\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37],"voice","analyze","voice analyze","writing","github","content","https","analyzing","user","extract","use","engineer","patterns","sample","2026-11-10 10:12:30",false,"---\nname: voice-analyze\ndescription: Reverse-engineer voice profiles from sample content by analyzing writing patterns. Use when user pastes writing samples and wants to extract their style.\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  platforms:\n  - all\n  source: https:\u002F\u002Fgithub.com\u002Fangelarose210\u002Fghostwriter\n  upstream_author: angelarose210\n---\n\n# voice-analyze\n\nReverse-engineer voice profiles from sample content by analyzing writing patterns. Detects and flags AI writing tells so the resulting profile produces human-sounding output.\n\n## Triggers\n\nAlternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):\n\n- \"voice fingerprint\" -> voice profile extraction\n- \"what's my writing style\" -> voice analysis\n\n## Behavior\n\nWhen triggered, this skill:\n\n1. **Analyzes text samples** for:\n   - Sentence structure and length patterns\n   - Vocabulary sophistication and domain\n   - Tone markers (formality, confidence, warmth)\n   - Structural patterns (lists, examples, questions)\n   - Perspective and voice choices\n\n2. **Extracts measurable features**:\n   - Average sentence length\n   - Vocabulary complexity (syllables, word length)\n   - Contraction usage\n   - Personal pronoun frequency\n   - Question density\n   - List\u002Fbullet usage\n\n3. **Scans for AI writing tells** (see `..\u002Fvoice-apply\u002Freferences\u002Fai-tells.md`):\n   - Flags any banned vocabulary found in the sample (verbs, adjectives, nouns, adverbs from the tells list)\n   - Detects banned sentence structures: \"It's not X, it's Y\" negation patterns, self-posed questions answered immediately, anaphora abuse, present participle trailing clauses\n   - Measures em dash frequency (AI models use ~10x more than human writers)\n   - Checks for uniform sentence length clustering (the \"burstiness problem\": AI clusters at 15-20 words, humans swing from 3-word fragments to 40-word sprawls)\n\n### Usage Examples\n### Analyze Existing Documentation\n### Match Brand Voice\n### Capture Personal Style\n### Analysis Methodology\n### Feature Extraction\n### AI Tells Detection Pass\n### Dimension Calibration\n### Vocabulary Extraction\n### Output Format\n### Integration\n","# voice-analyze\n\nReverse-engineer voice profiles from sample content by analyzing writing patterns. Detects and flags AI writing tells so the resulting profile produces human-sounding output.\n\n## Triggers\n\nAlternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):\n\n- \"voice fingerprint\" -> voice profile extraction\n- \"what's my writing style\" -> voice analysis\n\n## Behavior\n\nWhen triggered, this skill:\n\n1. **Analyzes text samples** for:\n   - Sentence structure and length patterns\n   - Vocabulary sophistication and domain\n   - Tone markers (formality, confidence, warmth)\n   - Structural patterns (lists, examples, questions)\n   - Perspective and voice choices\n\n2. **Extracts measurable features**:\n   - Average sentence length\n   - Vocabulary complexity (syllables, word length)\n   - Contraction usage\n   - Personal pronoun frequency\n   - Question density\n   - List\u002Fbullet usage\n\n3. **Scans for AI writing tells** (see `..\u002Fvoice-apply\u002Freferences\u002Fai-tells.md`):\n   - Flags any banned vocabulary found in the sample (verbs, adjectives, nouns, adverbs from the tells list)\n   - Detects banned sentence structures: \"It's not X, it's Y\" negation patterns, self-posed questions answered immediately, anaphora abuse, present participle trailing clauses\n   - Measures em dash frequency (AI models use ~10x more than human writers)\n   - Checks for uniform sentence length clustering (the \"burstiness problem\": AI clusters at 15-20 words, humans swing from 3-word fragments to 40-word sprawls)\n\n### Usage Examples\n### Analyze Existing Documentation\n### Match Brand Voice\n### Capture Personal Style\n### Analysis Methodology\n### Feature Extraction\n### AI Tells Detection Pass\n### Dimension Calibration\n### Vocabulary Extraction\n### Output Format\n### Integration\n",{"name":5,"license":15,"metadata":43,"description":7},{"source":44,"version":45,"platforms":46,"upstream_author":48},"https:\u002F\u002Fgithub.com\u002Fangelarose210\u002Fghostwriter","1.0.0",[47],"all","angelarose210","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fvoice-analyze","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill voice-analyze",{"tool":61,"command":62},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill voice-analyze",{"tool":64,"command":65},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill voice-analyze","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fvoice-analyze\u002FSKILL.md",true,[69],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"bmad-skill-manifest.yaml","REFERENCE","参考文档",698,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-cis-agent-innovation-strategist\u002Fbmad-skill-manifest.yaml",[76,97,127,154,168,183],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":38},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[83,84,85,86,87,88,89,90,91,34,92,93,94,95,96],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":108,"publishedAt":38},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[103],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[109,110,111,112,113,25,114,115,116,117,118,119,120,121,34,122,123,124,125,126],"openmm md","how","decision","pick","linux","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":139,"publishedAt":38},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[133,136],{"categoryNo":134,"categoryName":135,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":137,"categoryName":138,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000008","测试与质量",[140,141,142,143,144,145,146,147,148,149,110,150,151,152,153],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":38},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[156,161,162,163,164,165,166,167],"setup","report","project","installation","project setup","issues","state",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":175,"publishedAt":38},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[174],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},[170,176,88,177,178,179,34,32,180,181,182],"start issue","issue","ready","work on issue","work","work on","development",{"skillNo":184,"name":161,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":38},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[161,163,124,189,165,190],"files","interactive"]