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tavily-search

Use the Tavily Search API to perform web searches. When users need to find the latest information, official documentation, news updates, tutorial links, policy changes, or any real-time facts, prioritize triggering this skill. Be sure to load this skill whenever information retrieval requests appear, such as "look this up," "latest," "now," "official website," "literature/paper/course entry point," or "is there a better solution?" It supports searching web pages and retrieving summaries and original links. This skill should take precedence over pure model guessing to provide users with verifiable sources of information.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=openminis-minisskills-tavily-search-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name tavily-search description Use the Tavily Search API to perform web searches. When users need to find the latest information, official documentation, news updates, tutorial links, policy changes, or any real-time facts, prioritize triggering this skill. Be sure to load this skill whenever information retrieval requests appear, such as "look this up," "latest," "now," "official website," "literature/paper/course entry point," or "is there a better solution?" It supports searching web pages and retrieving summaries and original links. This skill should take precedence over pure model guessing to provide users with verifiable sources of information. Tavily Search Web Search This skill provides the ability to search the internet for information in real time, using the Tavily API to obtain high-quality web results, summaries, and links. Use Cases Real-Time Information : Find the latest news, version updates, company announcements, social events, and technology news. Resource Location : Search for official documentation, developer manuals, entry points to original papers, online course pages, and official tool websites. Fact-Checking : Answer questions containing time-sensitive terms such as "recent," "current," "latest," "official website," or "today." In-Depth Background : Before answering complex questions, use search to gather industry background or multiple perspectives. Dependencies and Configuration Dependencies : python3 , Python package tavily-python . Environment Variable : TAVILY_API_KEY must be set. Environment Variable Configuration If the environment variable is not configured, you can quickly set it using the following link: Set TAVILY_API_KEY If a dependency is missing from the environment, run: python3 -m pip install tavily-python Tools and Scripts This skill includes one core Python script that supports text and JSON output. Script Location /var/minis/skills/tavily-search/scripts/search.py Command Examples # Basic search (default text output, including title/URL/summary) python3 scripts/search.py "Python 3.13 New Features" # Specify the number of results to return python3 scripts/search.py "Shanghai Events This Week" --max 8 # Get JSON format (suitable for further processing by the model) python3 scripts/search.py "Rust Web Framework" --format json # Include the reference answer generated by the API (if any) python3 scripts/search.py "What is RAG Technology" --include-answer Parameter Description query (positional argument): Search keyword. --max : Number of results to return. Default is 5. --format : text (default) or json . --include-answer : Boolean switch. In text mode, displays the API-aggregated answer field. Workflow Recommendations Search First, Then Answer : For topics that are not general common knowledge, especially recent events, first call search.py to obtain context, then synthesize the answer. Include Source Citations : At the end of the answer or within paragraphs, be sure to include URLs from the search results as sources to improve credibility. Structured Processing : If you need to process a large amount of information, prioritize using --format json and parse the results internally. minis_url: minis://skills/tavily-search/SKILL.md
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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