[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JEV77MTFFMMGS2P5QNX8MW":3,"skill-same:01M6JEV77MTFFMMGS2P5QNX8MW":65},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":48,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M6JEV77MTFFMMGS2P5QNX8MW","semantic-recall",null,"Semantic (vector) memory recall for Clark. Finds facts by MEANING, not just keywords — use when the lexical memory (holographic FTS) misses paraphrases or synonyms, or when you want the most conceptually-relevant stored facts about a topic (owner, projects, tokens, tools, business). Complements the built-in memory; does not replace it.","S3YED\u002Fappie-kit","S3YED","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F62743867?v=4","01M6JBKBRRVP6KMS0VWZ27T3R6","01M6JBKBX0KG30284PW1DBYJT1",14,"MIT","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fmisc\u002Fsemantic-recall\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"semantic","semantic recall","recall","memory recall","vector","weblyfe","for","facts","meaning","you","about","relevant","Bash","memory","tokens","use","business","just","projects","in memory","2026-11-10 10:12:30",false,"---\nname: semantic-recall\ndescription: Semantic (vector) memory recall for Clark. Finds facts by MEANING, not just keywords — use when the lexical memory (holographic FTS) misses paraphrases or synonyms, or when you want the most conceptually-relevant stored facts about a topic (owner, projects, tokens, tools, business). Complements the built-in memory; does not replace it.\ntools: Bash\norigin: weblyfe\n---\n\n# semantic-recall: Vector Memory Layer\n\nClark's holographic memory is lexical (FTS5 + Jaccard token overlap + SHA-256 hash HRR). It misses synonyms and paraphrases. This skill adds a real learned-embedding semantic layer (fastembed BAAI\u002Fbge-small-en-v1.5, ONNX, no torch) over the same `memory_store.db` facts.\n\n## When to use\n- A recall by exact words returned nothing useful but the concept is likely stored.\n- You want the top conceptually-similar facts about a person, project, credential, or tool.\n\n## Recall a query\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py recall \"\u003Cyour natural-language query>\" 5\n```\n\nReturns JSON: `[{fact_id, score, category, content}, ...]` ranked by semantic similarity (higher score = closer).\n\n## Re-index after new memories (normally the cron does this every 6h)\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py index\n```\n\nIncremental: only embeds new\u002Fchanged facts, prunes deleted ones. Output JSON: `{indexed, deleted, total_facts}`.\n\n## Stats \u002F health\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py stats\n```","# semantic-recall: Vector Memory Layer\n\nClark's holographic memory is lexical (FTS5 + Jaccard token overlap + SHA-256 hash HRR). It misses synonyms and paraphrases. This skill adds a real learned-embedding semantic layer (fastembed BAAI\u002Fbge-small-en-v1.5, ONNX, no torch) over the same `memory_store.db` facts.\n\n## When to use\n- A recall by exact words returned nothing useful but the concept is likely stored.\n- You want the top conceptually-similar facts about a person, project, credential, or tool.\n\n## Recall a query\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py recall \"\u003Cyour natural-language query>\" 5\n```\n\nReturns JSON: `[{fact_id, score, category, content}, ...]` ranked by semantic similarity (higher score = closer).\n\n## Re-index after new memories (normally the cron does this every 6h)\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py index\n```\n\nIncremental: only embeds new\u002Fchanged facts, prunes deleted ones. Output JSON: `{indexed, deleted, total_facts}`.\n\n## Stats \u002F health\n\n```bash\n\u002Fusr\u002Flocal\u002Flib\u002Fhermes-agent\u002Fvenv\u002Fbin\u002Fpython \u002Froot\u002F.hermes\u002Fsemantic\u002Fsemantic.py stats\n```",{"name":5,"tools":30,"origin":23,"description":7},"master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fmisc\u002Fsemantic-recall",3,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit","https:\u002F\u002Fweblyfe.ai","https:\u002F\u002Fgithub.com\u002FS3YED","2026-08-27 01:54:02",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add S3YED\u002Fappie-kit --skill semantic-recall",{"tool":57,"command":58},"bunx","bunx skills add S3YED\u002Fappie-kit --skill semantic-recall",{"tool":60,"command":61},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill semantic-recall","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fmisc\u002Fsemantic-recall\u002FSKILL.md",true,[],[66,102,137,162,193,217],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":83,"publishedAt":38},"01M6JFD4M6N4DSGC7TXEJ5R3J2","ai-music","AI music generation and audio tools: HeartMuLa lyrics-to-music generation, songwriting craft (+ Suno prompts), and audio spectrogram\u002Ffeature visualization.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fwethlete\u002Fai-music\u002FSKILL.md",[72,77,80],{"categoryNo":73,"categoryName":74,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":78,"categoryName":79,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":81,"categoryName":82,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000023","Skill与智能体开发",[84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":116,"publishedAt":38},"01M6JFCZE4XNFQFMNZDHKHT5V5","agentic-webdesign-design-system-ingestion","Use v0 Design Systems 2.0, Bolt Design System Agents, or Lovable to generate production UI from a client's real design system components — not generic Tailwind. Use when building a client website where brand consistency matters.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-design-system-ingestion\u002FSKILL.md",[108,111],{"categoryNo":109,"categoryName":110,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136],"design","agentic","design system","system","ingestion","webdesign","agentic webdesign design system ingestion","components","generate","design systems","website","ui","Tailwind","bolt","lovable","v0","design-system","wed","design system components","appie",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":145,"publishedAt":38},"01M6JFCVPX3913CFAS6QQJ33ZB","agentic-webdesign-agent-elements","Use 21st.dev Agent Elements — 25 shadcn\u002Fui components purpose-built for AI agent UIs. Tool cards (Bash, Edit, Search, Plan, Subagent, MCP), chat, input, streaming. Open source, shadcn-registry install, no runtime lock-in.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-agent-elements\u002FSKILL.md",[143,144],{"categoryNo":81,"categoryName":82,"taxonomyType":75,"taxonomyTypeDesc":76},{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[118,146,122,147,148,149,124,150,151,152,153,154,30,155,156,157,158,159,160,161],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","streaming","open source","open","plan","subagent","edit","install","input","lock","source",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":172,"publishedAt":38},"01M6JFCQC7H65M9QJ6TRE71BS1","vercel-deployment","Deploy static sites and frontends to Vercel — handles both CLI and REST API paths, including the CLI token sanitization workaround.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fvercel-deployment\u002FSKILL.md",[168,171],{"categoryNo":169,"categoryName":170,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":81,"categoryName":82,"taxonomyType":75,"taxonomyTypeDesc":76},[173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192],"deployment","vercel deployment","vercel","macos","cli","linux","windows","deploy","vercel deploy","REST","api","site","deploy to vercel","token","rest api","host","sites","paths","sanitization","static site",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":200,"publishedAt":38},"01M6JFCM4SMTXBM5A01BK2YQG1","software-quality-workflows","Umbrella workflow for TDD, debugging, code simplification, spikes, pre-commit review, and debugger-assisted investigation.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fsoftware-quality-workflows\u002FSKILL.md",[199],{"categoryNo":81,"categoryName":82,"taxonomyType":75,"taxonomyTypeDesc":76},[201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,24],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":221,"categories":222,"keywords":230,"publishedAt":38},"01M6JFCGD0M6CEATY01W7YN6DB","react-component-refactoring","Safely refactor large React components into smaller, maintainable pieces using proven patterns","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Freact-component-refactoring\u002FSKILL.md",[223,226,229],{"categoryNo":224,"categoryName":225,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":227,"categoryName":228,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":81,"categoryName":82,"taxonomyType":75,"taxonomyTypeDesc":76},[231,232,233,234,235,236,237,238,176,239,240,124,241,179,242,210,243,244,245,246],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]