Does this skill require a specialized agent?

Dig uses a research sub-agent with the 'Explore' task type to systematically traverse the cloned repository and synthesize answers for you.

Where does Dig store the cloned repositories?

Repositories are cloned into a standard local temporary directory (/tmp/cc-repos) to allow for fast analysis without cluttering your main project folders.

How does the Dig skill find the correct repository?

It identifies the library name from your query and checks package metadata from sources like npm or PyPI, or searches GitHub directly to find the official source code.

Can Dig help with undocumented features?

Yes. Because Dig analyzes the actual source code and internal test files, it can discover functionality and usage patterns that might be missing from official documentation.

Which programming languages does Dig support?

Dig is language-agnostic and can analyze any repository it can clone, with built-in logic for common ecosystems like JavaScript, Python, Go, and Rust.

Library Source Explorer

Name: Library Source Explorer
Author: udecode

byudecode

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1,127

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Aprendizaje y Documentación

Researches library APIs and implementation details by cloning and analyzing source code repositories in real-time.

Library Source Explorer (dig) is a specialized skill that empowers Claude to provide accurate, up-to-date information about third-party libraries by directly analyzing their source code. Instead of relying solely on static training data, it searches for, clones, and traverses official repositories to understand public interfaces, documentation, and usage patterns. This ensures that developers receive precise guidance on unfamiliar APIs, complex library internals, or the latest package versions that might not be fully documented elsewhere.

Características Principales

011,127 GitHub stars

02Local repository cloning for high-fidelity source code analysis

03Automated repository discovery for npm, PyPI, Go, and Rust packages

04Deep-dive research into library internals to find undocumented patterns

05Sub-agent driven exploration of READMEs, source files, and tests

06Real-time identification of public API exports and interfaces

Casos de Uso

01Learning the API of a newly released or obscure library without leaving the terminal

02Finding usage examples for specific functions when official documentation is sparse

03Debugging complex integrations by examining a library's internal source code and test cases

Características Principales

011,127 GitHub stars

02Local repository cloning for high-fidelity source code analysis

03Automated repository discovery for npm, PyPI, Go, and Rust packages

04Deep-dive research into library internals to find undocumented patterns

05Sub-agent driven exploration of READMEs, source files, and tests

06Real-time identification of public API exports and interfaces

Casos de Uso

01Learning the API of a newly released or obscure library without leaving the terminal

02Finding usage examples for specific functions when official documentation is sparse

03Debugging complex integrations by examining a library's internal source code and test cases