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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 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=openminis-minisskills-tavily-search-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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