{"id":"95e332dd-ba40-439c-9739-6c15be5ecbf8","entityType":"agent","slug":"clawhub-barneyjm-search-2","name":"Search","canonicalUrl":"https://www.xpersona.co/agent/clawhub-barneyjm-search-2","canonicalPath":"/agent/clawhub-barneyjm-search-2","generatedAt":"2026-10-10T01:14:14.088Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T13:40:02.792Z","emptyReason":null},"description":"Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code. Skill: Search Owner: barneyjm Summary: Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code. 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Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.\n\nTags: latest:0.1.0\n\nVersion history:\n\nv0.1.0 | 2026-02-03T15:28:09.197Z | auto\n\nInitial release of the search skill using Tavily's LLM-optimized search API.\n\n- Search the web with result snippets, scores, and rich filtering options.\n- Supports basic and advanced searches with customizable parameters (domain filters, depth, time range, etc).\n- Provides easy CLI usage and sample curl commands.\n- Includes detailed API reference and practical usage tips.\n- Tavily API key configuration instructions included.\n\nArchive index:\n\nArchive v0.1.0: 3 files, 3116 bytes\n\nFiles: scripts/search.sh (2094b), SKILL.md (5228b), _meta.json (127b)\n\nFile v0.1.0:SKILL.md\n\n---\nname: search\ndescription: \"Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.\"\n---\n\n# Search Skill\n\nSearch the web and get relevant results optimized for LLM consumption.\n\n## Prerequisites\n\n**Tavily API Key Required** - Get your key at https://tavily.com\n\nAdd to `~/.claude/settings.json`:\n```json\n{\n  \"env\": {\n    \"TAVILY_API_KEY\": \"tvly-your-api-key-here\"\n  }\n}\n```\n\n## Quick Start\n\n### Using the Script\n\n```bash\n./scripts/search.sh '<json>'\n```\n\n**Examples:**\n```bash\n# Basic search\n./scripts/search.sh '{\"query\": \"python async patterns\"}'\n\n# With options\n./scripts/search.sh '{\"query\": \"React hooks tutorial\", \"max_results\": 10}'\n\n# Advanced search with filters\n./scripts/search.sh '{\"query\": \"AI news\", \"topic\": \"news\", \"time_range\": \"week\", \"max_results\": 10}'\n\n# Domain-filtered search\n./scripts/search.sh '{\"query\": \"machine learning\", \"include_domains\": [\"arxiv.org\", \"github.com\"], \"search_depth\": \"advanced\"}'\n```\n\n### Basic Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"latest developments in quantum computing\",\n    \"max_results\": 5\n  }'\n```\n\n### Advanced Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"machine learning best practices\",\n    \"max_results\": 10,\n    \"search_depth\": \"advanced\",\n    \"include_domains\": [\"arxiv.org\", \"github.com\"],\n    \"chunks_per_source\": 3\n  }'\n```\n\n## API Reference\n\n### Endpoint\n\n```\nPOST https://api.tavily.com/search\n```\n\n### Headers\n\n| Header | Value |\n|--------|-------|\n| `Authorization` | `Bearer <TAVILY_API_KEY>` |\n| `Content-Type` | `application/json` |\n\n### Request Body\n\n| Field | Type | Default | Description |\n|-------|------|---------|-------------|\n| `query` | string | Required | Search query (keep under 400 chars) |\n| `max_results` | integer | 5 | Maximum results (0-20) |\n| `search_depth` | string | `\"basic\"` | `ultra-fast`, `fast`, `basic`, `advanced` |\n| `topic` | string | `\"general\"` | `general`, `news`, `finance` |\n| `chunks_per_source` | integer | 3 | Chunks per source (advanced/fast only) |\n| `time_range` | string | null | `day`, `week`, `month`, `year` |\n| `include_domains` | array | [] | Domains to include (max 300) |\n| `exclude_domains` | array | [] | Domains to exclude (max 150) |\n| `include_answer` | boolean | false | Include AI-generated answer |\n| `include_raw_content` | boolean | false | Include full page content |\n| `include_images` | boolean | false | Include image results |\n\n### Response Format\n\n```json\n{\n  \"query\": \"latest developments in quantum computing\",\n  \"results\": [\n    {\n      \"title\": \"Page Title\",\n      \"url\": \"https://example.com/page\",\n      \"content\": \"Extracted text snippet...\",\n      \"score\": 0.85\n    }\n  ],\n  \"response_time\": 1.2\n}\n```\n\n## Search Depth\n\n| Depth | Latency | Relevance | Content Type |\n|-------|---------|-----------|--------------|\n| `ultra-fast` | Lowest | Lower | NLP summary |\n| `fast` | Low | Good | Chunks |\n| `basic` | Medium | High | NLP summary |\n| `advanced` | Higher | Highest | Chunks |\n\n**When to use each:**\n- `ultra-fast`: Real-time chat, autocomplete\n- `fast`: Need chunks but latency matters\n- `basic`: General-purpose, balanced\n- `advanced`: Precision matters (default recommendation)\n\n## Examples\n\n### News Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"AI news today\",\n    \"topic\": \"news\",\n    \"time_range\": \"day\",\n    \"max_results\": 10\n  }'\n```\n\n### Domain-Filtered Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"Python async best practices\",\n    \"include_domains\": [\"docs.python.org\", \"realpython.com\", \"github.com\"],\n    \"search_depth\": \"advanced\"\n  }'\n```\n\n### Search with Full Content\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"React hooks tutorial\",\n    \"max_results\": 3,\n    \"include_raw_content\": true\n  }'\n```\n\n### Finance Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"AAPL earnings Q4 2024\",\n    \"topic\": \"finance\",\n    \"max_results\": 10\n  }'\n```\n\n## Tips\n\n- **Keep queries under 400 characters** - Think search query, not prompt\n- **Break complex queries into sub-queries** - Better results than one massive query\n- **Use `include_domains`** to focus on trusted sources\n- **Use `time_range`** for recent information\n- **Filter by `score`** (0-1) to get highest relevance results\n\nFile v0.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn7e3j3w1x5et0yppacy4m90y18084ba\",\n  \"slug\": \"search-2\",\n  \"version\": \"0.1.0\",\n  \"publishedAt\": 1770132489197\n}","readmeExcerpt":"Skill: Search Owner: barneyjm Summary: Search the web using Tavily's LLM-optimized search API. 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Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.\"\n---\n\n# Search Skill\n\nSearch the web and get relevant results optimized for LLM consumption.\n\n## Prerequisites\n\n**Tavily API Key Required** - Get your key at https://tavily.com\n\nAdd to `~/.claude/settings.json`:\n```json\n{\n  \"env\": {\n    \"TAVILY_API_KEY\": \"tvly-your-api-key-here\"\n  }\n}\n```\n\n## Quick Start\n\n### Using the Script\n\n```bash\n./scripts/search.sh '<json>'\n```\n\n**Examples:**\n```bash\n# Basic search\n./scripts/search.sh '{\"query\": \"python async patterns\"}'\n\n# With options\n./scripts/search.sh '{\"query\": \"React hooks tutorial\", \"max_results\": 10}'\n\n# Advanced search with filters\n./scripts/search.sh '{\"query\": \"AI news\", \"topic\": \"news\", \"time_range\": \"week\", \"max_results\": 10}'\n\n# Domain-filtered search\n./scripts/search.sh '{\"query\": \"machine learning\", \"include_domains\": [\"arxiv.org\", \"github.com\"], \"search_depth\": \"advanced\"}'\n```\n\n### Basic Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"latest developments in quantum computing\",\n    \"max_results\": 5\n  }'\n```\n\n### Advanced Search\n\n```bash\ncurl --request POST \\\n  --url https://api.tavily.com/search \\\n  --header \"Authorization: Bearer $TAVILY_API_KEY\" \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"query\": \"machine learning best practices\",\n    \"max_results\": 10,\n    \"search_depth\": \"advanced\",\n    \"include_domains\": [\"arxiv.org\", \"github.com\"],\n    \"chunks_per_source\": 3\n  }'\n```\n\n## API Reference\n\n### Endpoint\n\n```\nPOST https://api.tavily.com/search\n```\n\n### Headers\n\n| Header | Value |\n|--------|-------|\n| `Authorization` | `Bearer <TAVILY_API_KEY>` |\n| `Content-Type` | `application/json` |\n\n### Request Body\n\n| Field | Type | Default | Description |\n|-------|------|---------|-------------|\n| `query` | string | Required | Search query (keep under 400 chars) |\n| `max_results` | integer | 5 | Maximum results (0-20) |\n| `search_depth` | string | `\"basic\"` | `ultra-fast`, `fast`, `basic`, `advanced` |\n| `topic` | string | `\"general\"` | `general`, `news`, `finance` |\n| `chunks_per_source` | integer | 3 | Chunks per source (advanced/fast only) |\n| `time_range` | string | null | `day`, `week`, `month`, `year` |\n| `include_domains` | array | [] | Domains to include (max 300) |\n| `exclude_domains` | array | [] | Domains to exclude (max 150) |\n| `include_answer` | boolean | false | Include AI-generated answer |\n| `include_raw_content` | boolean | false | Include full page content |\n| `include_images` | boolean | false | Include image results |\n\n### Response Format\n\n```json\n{\n  \"query\": \"latest developments in quantum computing\",\n  \"results\": [\n    {\n      \"title\": \"Page Title\",\n      \"url\": \"https://example."},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7e3j3w1x5et0yppacy4m90y18084ba\",\n  \"slug\": \"search-2\",\n  \"version\": \"0.1.0\",\n  \"publishedAt\": 1770132489197\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Search the web using Tavily's LLM-optimized search API. 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