exa-search

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.

16 stars

Best use case

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

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.

Teams using exa-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/exa-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/exa-search/SKILL.md"

Manual Installation

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

How exa-search Compares

Feature / Agentexa-searchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

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

# 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.

Related Skills

transcript-search

16
from plurigrid/asi

Intelligent semantic search over voice memo and video transcript DuckDB databases. Use when searching transcripts for topics, colors, tabs, concepts, or any content. NEVER dump full transcript text — use sentence-level extraction with context windows.

lead-research-assistant

16
from plurigrid/asi

Identifies high-quality leads for your product or service by analyzing

depth-search

16
from plurigrid/asi

Deep multi-source research combining academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and local ~/.topos knowledge base. Use for comprehensive research requiring multiple sources. NEVER fall back to web_search - ask user for help instead.

content-research-writer

16
from plurigrid/asi

Assists in writing high-quality content by conducting research, adding

academic-research

16
from plurigrid/asi

Search academic papers across arXiv, PubMed, Semantic Scholar, bioRxiv, medRxiv, Google Scholar, and more. Get BibTeX citations, download PDFs, analyze citation networks. Use for literature reviews, finding papers, and academic research.

zx-calculus

16
from plurigrid/asi

Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)

zulip-cogen

16
from plurigrid/asi

Zulip Cogen Skill 🐸⚡

zls-integration

16
from plurigrid/asi

zls-integration skill

zig

16
from plurigrid/asi

zig skill

zig-syrup-bci

16
from plurigrid/asi

Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation

zig-programming

16
from plurigrid/asi

zig-programming skill

zeroth-bot

16
from plurigrid/asi

Zeroth Bot - 3D-printed open-source humanoid robot platform for sim-to-real and RL research. Affordable entry point for humanoid robotics.