Search

PythonReactSEOPDF
OpenClaw

search

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.

evanydl0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install evanydl/tavily-websearch

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Search Skill

Search the web and get relevant results optimized for LLM consumption.

Authentication

The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:

  1. Check for existing tokens in ~/.mcp-auth/
  2. If none found, automatically open your browser for OAuth authentication

Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.

Alternative: API Key

If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:

{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}

Quick Start

Using the Script
./scripts/search.sh '<json>'

Examples:

# Basic search
./scripts/search.sh '{"query": "python async patterns"}'

# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'

# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'

# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'
Basic Search
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "latest developments in quantum computing",
    "max_results": 5
  }'
Advanced Search
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "machine learning best practices",
    "max_results": 10,
    "search_depth": "advanced",
    "include_domains": ["arxiv.org", "github.com"]
  }'

API Reference

Endpoint
POST htt...

Source information

Source
github
Repository
openclaw/skills
Path
skills/evanydl/tavily-websearch
Version
—
Commit
9545833176454fe3f1c9d4f861351ec116613185
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Search Skill

Search the web and get relevant results optimized for LLM consumption.

## Authentication

The script uses OAuth via the Tavily MCP server. **No manual setup required** - on first run, it will:
1. Check for existing tokens in `~/.mcp-auth/`
2. If none found, automatically open your browser for OAuth authentication

> **Note:** You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. [Sign up at tavily.com](https://tavily.com) first if you don't have an account.

### Alternative: API Key

If you prefer using an API key, get one at https://tavily.com and add to `~/.claude/settings.json`:
```json
{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}
```

## Quick Start

### Using the Script

```bash
./scripts/search.sh '<json>'
```

**Examples:**
```bash
# Basic search
./scripts/search.sh '{"query": "python async patterns"}'

# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'

# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'

# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'
```

### Basic Search

```bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "latest developments in quantum computing",
    "max_results": 5
  }'
```

### Advanced Search

```bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "machine learning best practices",
    "max_results": 10,
    "search_depth": "advanced",
    "include_domains": ["arxiv.org", "github.com"]
  }'
```

## API Reference

### Endpoint

```
POST htt...

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