Agent skill · Backend & API

exa

High-precision semantic search and content retrieval via Exa API. Use when: (1) Deep research requiring semantic understanding, (2) Code documentation and examples lookup, (3) Company/professional research, (4) AI-powered comprehensive research tasks, (5) URL content extraction with structured output. Triggers: "research", "find papers", "code examples", "company info", "LinkedIn profiles", "deep analysis". Differentiator: Exa excels at semantic/neural search while grok-search is better for real-time news and general web content.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill exa-dianel555-dskills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/exa-dianel555-dskills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Exa Search High-precision semantic search via Exa API. Standalone CLI only (no MCP dependency). ## Execution Method Run `scripts/exa_cli.py` via Bash: ```bash # Prerequisites: pip install httpx tenacity # Environment: EXA_API_KEY (required), EXA_API_URL (optional, default: https://api.exa.ai) ``` ## Available Tools ### Search Tools ```bash # Basic semantic search python scripts/exa_cli.py web_search_exa --query "emerging patterns in TypeScript" [--num-results 10] [--type auto|keyword|neural] [--livecrawl always|fallback|never] # Advanced search with filters python scripts/exa_cli.py web_search_advanced_exa --query "machine learning papers" \ [--include-domains arxiv.org,github.com] [--exclude-domains medium.com] \ [--start-date 2024-01-01] [--end-date 2024-12-31] \ [--text] [--highlights] [--summary] [--out results.json] # Deep search with query expansion python scripts/exa_cli.py deep_search_exa --objective "foundations of quantum error correction" [--additional-queries "query1|query2"] # Company research python scripts/exa_cli.py company_research_exa --company "Anthropic" [--num-results 10] # LinkedIn profile search python scripts/exa_cli.py linkedin_search_exa --query "AI rese

What's inside
Steps it walks through
  1. Execution Method
  2. Available Tools
  3. Search Tools
  4. Content Tools
  5. Research Tools
  6. Configuration
  7. Tool Capability Matrix
  8. Tool Routing Guide
  9. Exa vs Grok-Search
  10. Workflow Patterns
  11. Pattern 1: Quick Semantic Search
  12. Pattern 2: Filtered Research
  13. Pattern 3: Deep Research Task
  14. Error Handling
Ships with 1 file
  • metadata.json
Commands it runs
Basic semantic search
Advanced search with filters
python scripts/exa_cli.py web_search_advanced_exa --query "machine learning papers" \
Deep search with query expansion
python scripts/exa_cli.py deep_search_exa --objective "foundations of quantum error correction" [--additional-queries "query1|query2"]
Company research
python scripts/exa_cli.py company_research_exa --company "Anthropic" [--num-results 10]
LinkedIn profile search
python scripts/exa_cli.py linkedin_search_exa --query "AI researchers at Stanford" [--num-results 10]
Extract content from URL
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About this skill
What does the exa skill do?

High-precision semantic search and content retrieval via Exa API. Use when: (1) Deep research requiring semantic understanding, (2) Code documentation and examples lookup, (3) Company/professional research, (4) AI-powered comprehensive research tasks, (5) URL content extraction with structured output. Triggers: "research", "find papers", "code examples", "company info", "LinkedIn profiles", "deep analysis". Differentiator: Exa excels at semantic/neural search while grok-search is better for real-time news and general web content.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill exa-dianel555-dskills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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