# Search the Web Semantically with Exa

Keyword searches can miss conceptually relevant sources and related content. This skill guides Exa API searches for semantic discovery, category filtering, and structured research.

## Install

```bash
npx skillstore add sickn33/exa-search
```

## Metadata

- Status: approved
- Slug: sickn33-exa-search
- Skillstore revision: r2
- Version status: missing
- Tree hash: 3404724c52875aebca1ab8d5c42d0e2c6c7dd762d6be72e8b420b1cf2709ad11
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/exa-search
- Ref: 88a8e9a07f4c54ab105c1c41b6267c287146b07b
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-exa-search
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-exa-search/manifest

## Capabilities

- Guides semantic searches through the Exa API.
- Supports finding content related to a known source or topic.
- Frames category-focused searches for companies, people, and research papers.
- Structures multi-step research requests around a clear topic.
- Directs users to configure the Exa API key through environment variables.

## Use Cases

- Map a Market: Find conceptually related companies and organize results for comparison.
- Discover Research: Search for papers by topic and discover related material beyond exact keyword matches.
- Scout Related Content: Locate similar articles and sources for planning, differentiation, and fact checking.

## Prompt Templates

### Run a Basic Semantic Search

```
Use Exa to search for sources about [topic]. Return relevant results with titles, links, and one-sentence relevance notes.
```

### Search a Specific Category

```
Search Exa for [company, person, or research paper] results about [topic]. Apply the closest category and explain why each result fits.
```

### Find Similar Content

```
Using [source or topic], find semantically similar content with Exa. Group results by similarity and note meaningful differences.
```

### Build a Structured Research Brief

```
Investigate [research question] with Exa across [categories]. Use several semantic queries, compare recurring evidence, identify disagreements, and present a source-linked synthesis.
```

## Limitations

- Requires an Exa API key and access to the Exa service.
- Does not include executable integration code in the reviewed SKILL.md file.
- Search quality depends on Exa coverage, query clarity, and selected categories.
- Results require source verification before decisions or publication.

## Best Practices

- State the research question, desired categories, and date range before searching.
- Use environment variables for the Exa API key and never place secrets in prompts.
- Verify important claims against primary sources before publishing or making decisions.

## Anti Patterns

- Do not use vague topics when a precise concept or category is available.
- Do not treat semantic similarity as proof that sources support the same conclusion.
- Do not expose API keys, private documents, or confidential query details.

## Security Audit

- Audited at: 2026-07-24T00:07:37.243\+00:00
- Summary: Both static alerts are false positives caused by documentation syntax, not active execution or network behavior. No prompt injection, exfiltration intent, or other semantic threat appears in SKILL.md.

## Stats

- Views: 139
- Downloads: 16
- Favorites: 0
- Popularity score: 0