agent research skill risk: low
Exa API Semantic Search Skill
Describes the exa-search skill for semantic/embeddings-based search, similar content discovery, and category-based research using the Exa API, including installation steps, usage c…
- External action: medium
SKILL 1 file
SKILL.md
--- name: exa-search description: "Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.)." --- # exa-search ## Overview Semantic search, similar content discovery, and structured research using Exa API ## When to Use - When you need semantic/embeddings-based search - When finding similar content - When searching by category (company, people, research papers, etc.) ## Installation ```bash npx skills add -g BenedictKing/exa-search ``` ## Step-by-Step Guide 1. Install the skill using the command above 2. Configure Exa API key 3. Use naturally in Claude Code conversations ## Examples See [GitHub Repository](https://github.com/BenedictKing/exa-search) for examples. ## Best Practices - Configure API keys via environment variables ## Troubleshooting See the GitHub repository for troubleshooting guides. ## Related Skills - context7-auto-research, tavily-web, firecrawl-scraper, codex-review ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
ROLES & RULES
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
EXPECTED OUTPUT
- Format
- markdown
CAVEATS
- Missing context
-
- API key configuration steps
- Concrete usage examples or templates
- Input/output format specifications
- Ambiguities
-
- 'Use naturally in Claude Code conversations' is vague and undefined.
- No details provided on actual invocation syntax, parameters, or expected outputs.
QUALITY
- OVERALL
- 0.35
- CLARITY
- 0.65
- SPECIFICITY
- 0.35
- REUSABILITY
- 0.20
- COMPLETENESS
- 0.30
IMPROVEMENT SUGGESTIONS
- Replace external links with inline minimal examples or a usage template.
- Add a clear 'Usage' section with placeholder syntax for queries.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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