What is the Exa Context skill for Claude Code?

It is a specialized capability that allows Claude to search for and retrieve external code examples, implementation patterns, and technical documentation using Exa AI's neural search engine.

What kind of programming help can I find?

You can find implementation examples for React hooks, Python async patterns, authentication flows like JWT with Rails, GraphQL schema designs, and general technical documentation.

Can I use this skill to extract specific code fields?

Yes, by combining the skill's JSON output with the 'jq' command-line tool, you can programmatically extract only the relevant code context fields for direct use in your projects.

How does this skill help save tokens?

The skill provides optimized output formats like '--output-format toon' (a compact YAML-like format) and '--output-format text' (raw content) which reduce token overhead by up to 40% compared to standard JSON.

Is using Exa AI with Claude Code expensive?

The skill includes cost-optimization strategies, such as defaulting to 25 results per search which is 5x cheaper than larger queries, and using targeted searches to maintain high quality at a lower cost.

Exa Code Context

Name: Exa Code Context
Author: benjaminjackson

bybenjaminjackson

•

学習とドキュメンテーション

Retrieves high-quality code snippets, implementation patterns, and technical documentation using Exa AI neural search.

概要

Exa Code Context is a specialized Claude Code skill designed to provide developers with precise, token-efficient access to external programming context. By leveraging Exa's neural search capabilities, it allows Claude to pull in real-world API usage patterns, framework examples, and library documentation directly into the coding environment. The skill emphasizes cost and performance optimization through specialized output formats like 'toon' and 'text', ensuring that users get the specific implementation details they need without unnecessary token overhead or JSON bloat.

主な機能

Cost-optimized search strategies to minimize API expenses
2 GitHub stars
Token-efficient retrieval using specialized 'toon' and 'text' output formats
Deep technical documentation discovery for frameworks and libraries
Dynamic token management that adapts to content length automatically
Programmatic extraction support via JSON and jq integration

ユースケース

Gathering comprehensive technical context for complex architectural designs like GraphQL schemas
Sourcing real-world implementation examples for unfamiliar APIs or libraries
Retrieving up-to-date documentation for specific programming patterns like React hooks or JWT auth

概要

主な機能

Cost-optimized search strategies to minimize API expenses
2 GitHub stars
Token-efficient retrieval using specialized 'toon' and 'text' output formats
Deep technical documentation discovery for frameworks and libraries
Dynamic token management that adapts to content length automatically
Programmatic extraction support via JSON and jq integration

ユースケース

Gathering comprehensive technical context for complex architectural designs like GraphQL schemas
Sourcing real-world implementation examples for unfamiliar APIs or libraries
Retrieving up-to-date documentation for specific programming patterns like React hooks or JWT auth