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Prompts Exa API Semantic Search Skill

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

  1. Use this skill only when the task clearly matches the scope described above.
  2. Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  3. 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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