tavily
Tavily web search, content extraction, and research tools.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=openclaw-openclaw-extensions-tavily-skills-tavily-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name tavily description Tavily web search, content extraction, and research tools. metadata {"openclaw":{"emoji":"🔍","requires":{"config":"[Truncated]"}}} Tavily Tools When to use which tool Need Tool When Quick web search web_search Basic queries, no special options needed Search with advanced options tavily_search Need depth, topic, domain filters, time ranges, or AI answers Extract content from URLs tavily_extract Have specific URLs, need their content web_search Tavily powers this automatically when selected as the search provider. Use for straightforward queries where you don't need Tavily-specific options. Parameter Description query Search query string count Number of results (1-20) tavily_search Use when you need fine-grained control over search behavior. Parameter Description query Search query string (keep under 400 characters) search_depth basic (default, balanced) or advanced (highest relevance, slower) topic general (default), news (real-time updates), or finance max_results Number of results, 1-20 (default: 5) include_answer Include an AI-generated answer summary (default: false) time_range Filter by recency: day , week , month , or year include_domains Array of domains to restrict results to exclude_domains Array of domains to exclude from results Search depth Depth Speed Relevance Best for basic Faster High General-purpose queries (default) advanced Slower Highest Precision, specific facts, detailed research Tips Keep queries under 400 characters — think search query, not prompt. Break complex queries into sub-queries for better results. Use include_domains to focus on trusted sources. Use time_range for recent information (news, current events). Use include_answer when you need a quick synthesized answer. tavily_extract Use when you have specific URLs and need their content. Handles JavaScript-rendered pages and returns clean markdown. Supports query-focused chunking for targeted extraction. Parameter Description urls Array of URLs to extract (1-20 per request) query Rerank extracted chunks by relevance to this query extract_depth basic (default, fast) or advanced (for JS-heavy pages, tables) chunks_per_source Chunks per URL, 1-5 (requires query ) include_images Include image URLs in results (default: false) Extract depth Depth When to use basic Simple pages — try this first advanced JS-rendered SPAs, dynamic content, tables, embedded content Tips Max 20 URLs per request — batch larger lists into multiple calls. Use query + chunks_per_source to get only relevant content instead of full pages. Try basic first , fall back to advanced if content is missing or incomplete. If tavily_search results already contain the snippets you need, skip the extract step. Choosing the right workflow Follow this escalation pattern — start simple, escalate only when needed: web_search — Quick lookup, no special options needed. tavily_search — Need depth control, topic filtering, domain filters, time ranges, or AI answers. tavily_extract — Have specific URLs, need their full content or targeted chunks. Combine search + extract when you need to find pages first, then get their full content.
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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