Check a dataset before analysis
Find missing values, inconsistent formats, duplicates, and questions that could invalidate results.
5,212,950 AI resources indexedWorking toward the world’s largest AI resource index.
Use Exa for semantic/neural web search. Exa understands context and returns high-quality results. Use this skill when you need to search the web for documentation, research, or any information that requires understanding meaning rather than just keyword matching. NEVER substitute web_search for E...
---
name: exa-search-e1173098db8b
description: Use Exa for semantic/neural web search. Exa understands context and returns high-quality results. Use this skill when you need to search the web for documentation, research, or any information that requires understanding meaning rather than just keyword matching. NEVER substitute web_search for Exa - they serve completely different purposes.
version: 1.0.0
---
# Exa Semantic Search
Exa provides neural/semantic search via MCP. Use it for high-quality web search that understands context.
## When to Use Exa
- Searching for documentation or technical information
- Research requiring semantic understanding
- Finding information where exact keywords are unknown
- Company research and LinkedIn searches
- Deep research tasks
## When NOT to Use Exa
- Never use `web_search` as a substitute - it's basic keyword matching only
- If Exa fails, troubleshoot Exa - don't fall back to `web_search`
## Available Tools
The Exa MCP server provides these tools:
- `web_search_exa` - Semantic web search
- `crawling_exa` - Crawl and extract web content
- `company_research_exa` - Research companies
- `linkedin_search_exa` - Search LinkedIn profiles
- `deep_researcher_start` - Start deep research task
- `deep_researcher_check` - Check deep research status
## Configuration
Exa is configured as a remote HTTP MCP in `~/.mcp.json`:
```json
{
"exa": {
"type": "http",
"url": "https://mcp.exa.ai/mcp?tools=web_search_exa,crawling_exa,company_research_exa,linkedin_search_exa,deep_researcher_start,deep_researcher_check"
}
}
```
## Usage Examples
### Basic Search
Use the Exa MCP tools directly when semantic search is needed.
### Deep Research
1. Start with `deep_researcher_start` for complex topics
2. Poll with `deep_researcher_check` until complete
3. Get comprehensive, synthesized results
## Critical Rules
1. **NEVER replace Exa with web_search** - they are fundamentally different
2. **NEVER use web_search in Task sub-agents** as a substitute for Exa
3. If Exa fails, troubleshoot Exa - do not substitute
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `algorithms`: 19 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.---
name: exa-search-e1173098db8b
description: Use Exa for semantic/neural web search. Exa understands context and returns high-quality results. Use this skill when you need to search the web for documentation, research, or any information that requires understanding meaning rather than just keyword matching. NEVER substitute web_search for Exa - they serve completely different purposes.
version: 1.0.0
---
# Exa Semantic Search
Exa provides neural/semantic search via MCP. Use it for high-quality web search that understands context.
## When to Use Exa
- Searching for documentation or technical information
- Research requiring semantic understanding
- Finding information where exact keywords are unknown
- Company research and LinkedIn searches
- Deep research tasks
## When NOT to Use Exa
- Never use `web_search` as a substitute - it's basic keyword matching only
- If Exa fails, troubleshoot Exa - don't fall back to `web_search`
## Available Tools
The Exa MCP server provides these tools:
- `web_search_exa` - Semantic web search
- `crawling_exa` - Crawl and extract web content
- `company_research_exa` - Research companies
- `linkedin_search_exa` - Search LinkedIn profiles
- `deep_researcher_start` - Start deep research task
- `deep_researcher_check` - Check deep research status
## Configuration
Exa is configured as a remote HTTP MCP in `~/.mcp.json`:
```json
{
"exa": {
"type": "http",
"url": "https://mcp.exa.ai/mcp?tools=web_search_exa,crawling_exa,company_research_exa,linkedin_search_exa,deep_researcher_start,deep_researcher_check"
}
}
```
## Usage Examples
### Basic Search
Use the Exa MCP tools directly when semantic search is needed.
### Deep Research
1. Start with `deep_researcher_start` for complex topics
2. Poll with `deep_researcher_check` until complete
3. Get comprehensive, synthesized results
## Critical Rules
1. **NEVER replace Exa with web_search** - they are fundamentally different
2. **NEVER use web_search in Task sub-agents** as a substitute for Exa
3. If Exa fails, troubleshoot Exa - do not substitute
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `algorithms`: 19 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.