[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JCYVHS13QCFRAA1CK7KGY3":3,"skill-same:01M6JCYVHS13QCFRAA1CK7KGY3":74},{"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":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M6JCYVHS13QCFRAA1CK7KGY3","exa-search",null,"Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.","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\u002Fecc\u002Fexa-search\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"search","exa search","exa","engine","for","with","people","via","company research","deep","Neural","use","MCP","web search","lookup","deep research","examples","code","web","research","2026-11-10 10:12:30",false,"---\nname: exa-search\ndescription: Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.\norigin: ECC\n---\n\n# Exa Search\n\n> **Drift-prone skill.** Exa MCP tool names, parameters, and account limits can\n> change. Confirm the exposed tool surface and current Exa docs before relying\n> on a specific search mode, category, or livecrawl behavior.\n\nNeural search for web content, code, companies, and people via the Exa MCP server.\n\n## When to Activate\n\n- User needs current web information or news\n- Searching for code examples, API docs, or technical references\n- Researching companies, competitors, or market players\n- Finding professional profiles or people in a domain\n- Running background research for any development task\n- User says \"search for\", \"look up\", \"find\", or \"what's the latest on\"\n\n## MCP Requirement\n\nExa MCP server must be configured. Add to `~\u002F.claude.json`:\n\n```json\n\"exa-web-search\": {\n  \"command\": \"npx\",\n  \"args\": [\"-y\", \"exa-mcp-server\"],\n  \"env\": { \"EXA_API_KEY\": \"YOUR_EXA_API_KEY_HERE\" }\n}\n```\n\nGet an API key at [exa.ai](https:\u002F\u002Fexa.ai).\nThis repo's current Exa setup documents the tool surface exposed here: `web_search_exa` and `get_code_context_exa`.\nIf your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.\n\n## Core Tools\n\n### web_search_exa\nGeneral web search for current information, news, or facts.\n\n```\nweb_search_exa(query: \"latest AI developments 2026\", numResults: 5)\n```\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Search query |\n| `numResults` | number | 8 | Number of results |\n| `type` | string | `auto` | Search mode |\n| `livecrawl` | string | `fallback` | Prefer live crawling when needed |\n| `category` | string | none | Optional focus such as `company` or `research paper` |\n\n### get_code_context_exa\nFind code examples and documentation from GitHub, Stack Overflow, and docs sites.\n\n```\nget_code_context_exa(query: \"Python asyncio patterns\", tokensNum: 3000)\n```\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Code or API search query |\n| `tokensNum` | number | 5000 | Content tokens (1000-50000) |\n\n## Usage Patterns\n\n### Quick Lookup\n```\nweb_search_exa(query: \"Node.js 22 new features\", numResults: 3)\n```\n\n### Code Research\n```\nget_code_context_exa(query: \"Rust error handling patterns Result type\", tokensNum: 3000)\n```\n\n### Company or People Research\n```\nweb_search_exa(query: \"Vercel funding valuation 2026\", numResults: 3, category: \"company\")\nweb_search_exa(query: \"site:linkedin.com\u002Fin AI safety researchers Anthropic\", numResults: 5)\n```\n\n### Technical Deep Dive\n```\nweb_search_exa(query: \"WebAssembly component model status and adoption\", numResults: 5)\nget_code_context_exa(query: \"WebAssembly component model examples\", tokensNum: 4000)\n```\n\n## Tips\n\n- Use `web_search_exa` for current information, company lookups, and broad discovery\n- Use search operators like `site:`, quoted phrases, and `intitle:` to narrow results\n- Lower `tokensNum` (1000-2000) for focused code snippets, higher (5000+) for comprehensive context\n- Use `get_code_context_exa` when you need API usage or code examples rather than general web pages\n\n## Related Skills\n\n- `deep-research` — Full research workflow using firecrawl + exa together\n- `market-research` — Business-oriented research with decision frameworks\n","# Exa Search\n\n> **Drift-prone skill.** Exa MCP tool names, parameters, and account limits can\n> change. Confirm the exposed tool surface and current Exa docs before relying\n> on a specific search mode, category, or livecrawl behavior.\n\nNeural search for web content, code, companies, and people via the Exa MCP server.\n\n## When to Activate\n\n- User needs current web information or news\n- Searching for code examples, API docs, or technical references\n- Researching companies, competitors, or market players\n- Finding professional profiles or people in a domain\n- Running background research for any development task\n- User says \"search for\", \"look up\", \"find\", or \"what's the latest on\"\n\n## MCP Requirement\n\nExa MCP server must be configured. Add to `~\u002F.claude.json`:\n\n```json\n\"exa-web-search\": {\n  \"command\": \"npx\",\n  \"args\": [\"-y\", \"exa-mcp-server\"],\n  \"env\": { \"EXA_API_KEY\": \"YOUR_EXA_API_KEY_HERE\" }\n}\n```\n\nGet an API key at [exa.ai](https:\u002F\u002Fexa.ai).\nThis repo's current Exa setup documents the tool surface exposed here: `web_search_exa` and `get_code_context_exa`.\nIf your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.\n\n## Core Tools\n\n### web_search_exa\nGeneral web search for current information, news, or facts.\n\n```\nweb_search_exa(query: \"latest AI developments 2026\", numResults: 5)\n```\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Search query |\n| `numResults` | number | 8 | Number of results |\n| `type` | string | `auto` | Search mode |\n| `livecrawl` | string | `fallback` | Prefer live crawling when needed |\n| `category` | string | none | Optional focus such as `company` or `research paper` |\n\n### get_code_context_exa\nFind code examples and documentation from GitHub, Stack Overflow, and docs sites.\n\n```\nget_code_context_exa(query: \"Python asyncio patterns\", tokensNum: 3000)\n```\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Code or API search query |\n| `tokensNum` | number | 5000 | Content tokens (1000-50000) |\n\n## Usage Patterns\n\n### Quick Lookup\n```\nweb_search_exa(query: \"Node.js 22 new features\", numResults: 3)\n```\n\n### Code Research\n```\nget_code_context_exa(query: \"Rust error handling patterns Result type\", tokensNum: 3000)\n```\n\n### Company or People Research\n```\nweb_search_exa(query: \"Vercel funding valuation 2026\", numResults: 3, category: \"company\")\nweb_search_exa(query: \"site:linkedin.com\u002Fin AI safety researchers Anthropic\", numResults: 5)\n```\n\n### Technical Deep Dive\n```\nweb_search_exa(query: \"WebAssembly component model status and adoption\", numResults: 5)\nget_code_context_exa(query: \"WebAssembly component model examples\", tokensNum: 4000)\n```\n\n## Tips\n\n- Use `web_search_exa` for current information, company lookups, and broad discovery\n- Use search operators like `site:`, quoted phrases, and `intitle:` to narrow results\n- Lower `tokensNum` (1000-2000) for focused code snippets, higher (5000+) for comprehensive context\n- Use `get_code_context_exa` when you need API usage or code examples rather than general web pages\n\n## Related Skills\n\n- `deep-research` — Full research workflow using firecrawl + exa together\n- `market-research` — Business-oriented research with decision frameworks\n",{"name":5,"origin":51,"description":7},"ECC","master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fecc\u002Fexa-search",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":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add S3YED\u002Fappie-kit --skill exa-search",{"tool":66,"command":67},"bunx","bunx skills add S3YED\u002Fappie-kit --skill exa-search",{"tool":69,"command":70},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill exa-search","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fecc\u002Fexa-search\u002FSKILL.md",true,[],[75,107,142,166,197,220],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":88,"publishedAt":46},"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",[81,84,87],{"categoryNo":82,"categoryName":83,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":121,"publishedAt":46},"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",[113,116],{"categoryNo":114,"categoryName":115,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":117,"categoryName":118,"taxonomyType":119,"taxonomyTypeDesc":120},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141],"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":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":150,"publishedAt":46},"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",[148,149],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":117,"categoryName":118,"taxonomyType":119,"taxonomyTypeDesc":120},[123,151,127,152,38,153,129,154,26,155,156,157,158,159,160,161,162,163,164,165],"elements","agentic webdesign agent elements","ai agent","registry","streaming","open source","open","Bash","plan","subagent","edit","install","input","lock","source",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":176,"publishedAt":46},"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",[172,175],{"categoryNo":173,"categoryName":174,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196],"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":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":201,"categories":202,"keywords":204,"publishedAt":46},"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",[203],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[205,206,207,208,209,210,211,212,213,43,214,215,216,217,218,219,30],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":221,"name":222,"nameZh":6,"description":223,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":224,"categories":225,"keywords":233,"publishedAt":46},"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",[226,229,232],{"categoryNo":227,"categoryName":228,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":230,"categoryName":231,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[234,235,236,237,238,239,240,241,180,242,243,129,244,183,245,43,246,247,248,249],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]