Best use case
tavily-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "tavily-search" skill to help with this workflow task. Context: 使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tavily-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tavily-search Compares
| Feature / Agent | tavily-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 工具调用示例（Tavily Search）
当您决定调用 tavily_search 工具时，您的响应应该是一个包含 tool_name 和 parameters 字段的 JSON 对象。parameters 字段的值应是工具所需的参数对象。
## ✅ 正确示例
**parameters 字段内容:**
```json
{"query": "latest AI news"}
```
**完整工具调用响应示例:**
```json
{"tool_name": "tavily_search", "parameters": {"query": "latest AI news"}}
```
## ❌ 错误示例 (请避免以下常见错误)
- **在 JSON 中嵌入 Markdown 分隔符:**
```json
"```json\n{\"query\": \"latest AI news\"}\n```"
```
(Qwen 模型会将此作为 JSON 字符串的一部分，导致解析失败)
- **参数名错误:**
```json
{"q": "latest AI news"}
```
(应为 "query" 而非 "q")
- **参数值错误:**
```json
{"query": 123}
```
(query 参数值应为字符串，而不是数字)
## 关键指令
1. **查询构建**: 查询应该具体且相关
2. **实时性**: 适用于需要最新信息的问题
3. **验证**: 可用于验证其他信息来源
## 使用场景
1. 获取实时新闻和信息
2. 回答需要最新数据的问题
3. 研究特定主题的背景信息
4. 验证事实和数据的准确性
## 最佳实践
- 查询应该具体且相关
- 对于复杂问题，可以分解为多个搜索查询
- 结合搜索结果进行综合分析
- 优先使用英文关键词获取更准确的结果
## 示例查询
- "2024年人工智能最新发展"
- "OpenAI最新模型发布信息"
- "比特币当前价格和趋势"
- "Python 3.12新特性详解"Related Skills
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