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.

7 stars

Best use case

search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using search should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/search-2/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/barneyjm/search-2/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/search-2/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How search Compares

Feature / AgentsearchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

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

# Search Skill

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

## Prerequisites

**Tavily API Key Required** - Get your key at https://tavily.com

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", "topic": "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"],
    "chunks_per_source": 3
  }'
```

## API Reference

### Endpoint

```
POST https://api.tavily.com/search
```

### Headers

| Header | Value |
|--------|-------|
| `Authorization` | `Bearer <TAVILY_API_KEY>` |
| `Content-Type` | `application/json` |

### Request Body

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `query` | string | Required | Search query (keep under 400 chars) |
| `max_results` | integer | 5 | Maximum results (0-20) |
| `search_depth` | string | `"basic"` | `ultra-fast`, `fast`, `basic`, `advanced` |
| `topic` | string | `"general"` | `general`, `news`, `finance` |
| `chunks_per_source` | integer | 3 | Chunks per source (advanced/fast only) |
| `time_range` | string | null | `day`, `week`, `month`, `year` |
| `include_domains` | array | [] | Domains to include (max 300) |
| `exclude_domains` | array | [] | Domains to exclude (max 150) |
| `include_answer` | boolean | false | Include AI-generated answer |
| `include_raw_content` | boolean | false | Include full page content |
| `include_images` | boolean | false | Include image results |

### Response Format

```json
{
  "query": "latest developments in quantum computing",
  "results": [
    {
      "title": "Page Title",
      "url": "https://example.com/page",
      "content": "Extracted text snippet...",
      "score": 0.85
    }
  ],
  "response_time": 1.2
}
```

## Search Depth

| Depth | Latency | Relevance | Content Type |
|-------|---------|-----------|--------------|
| `ultra-fast` | Lowest | Lower | NLP summary |
| `fast` | Low | Good | Chunks |
| `basic` | Medium | High | NLP summary |
| `advanced` | Higher | Highest | Chunks |

**When to use each:**
- `ultra-fast`: Real-time chat, autocomplete
- `fast`: Need chunks but latency matters
- `basic`: General-purpose, balanced
- `advanced`: Precision matters (default recommendation)

## Examples

### News Search

```bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "AI news today",
    "topic": "news",
    "time_range": "day",
    "max_results": 10
  }'
```

### Domain-Filtered Search

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

### Search with Full Content

```bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "React hooks tutorial",
    "max_results": 3,
    "include_raw_content": true
  }'
```

### Finance Search

```bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "AAPL earnings Q4 2024",
    "topic": "finance",
    "max_results": 10
  }'
```

## Tips

- **Keep queries under 400 characters** - Think search query, not prompt
- **Break complex queries into sub-queries** - Better results than one massive query
- **Use `include_domains`** to focus on trusted sources
- **Use `time_range`** for recent information
- **Filter by `score`** (0-1) to get highest relevance results

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