context7-efficient

Token-efficient documentation retrieval uses shell pipelines to extract only essential content—code examples, API signatures, and key notes—from library docs. This Skill applies bash, jq, and Python to filter and deliver focused results across JavaScript, Python, Go, Rust, and other libraries, reducing token overhead while preserving usability.

Yes. The Skill fetches code examples and API signatures across JavaScript, Python, Go, Rust, and other libraries. You run the fetch-docs script with a library name and topic, and it returns filtered code blocks and API patterns relevant to your query.

Run the fetch-docs.sh script with your library and topic as parameters. The shell pipeline filters documentation to extract API signatures, code examples, and essential notes, delivering results in seconds without manual page navigation or token waste.

Yes. The token-efficient pipeline is designed for learning and rapid reference. It supports JavaScript, Python, Go, Rust, and other libraries, with mode selection for code-focused or informational output and pagination for large results.

You need bash for scripting, jq for JSON filtering, and Python3 for processing. The Skill bundles scripts and references that work with these tools to handle library resolution and content extraction across supported languages.