Does this skill use official LimaCharlie sources?

Yes, all documentation is pulled directly from the official refractionPOINT GitHub repositories to ensure accuracy.

How does the skill find LimaCharlie documentation?

The skill uses dynamic discovery by first fetching index files from official LimaCharlie GitHub repositories to locate the most relevant and up-to-date documentation paths.

What is the benefit of dynamic discovery over hardcoded links?

Dynamic discovery ensures that Claude always provides the most current version of the documentation, even if the file structure or content on GitHub changes.

Does it cover the LimaCharlie SDK?

Yes, it retrieves detailed usage examples, methods, and implementation patterns for both the Python and Go SDKs.

Can it help me write Detection & Response (D&R) rules?

Absolutely. It can fetch specific syntax guides, logic requirements, and examples for writing and implementing D&R rules.

LimaCharlie Documentation Lookup

Name: LimaCharlie Documentation Lookup
Author: refractionPOINT

byrefractionPOINT

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Aprendizaje y Documentación

Searches and retrieves comprehensive LimaCharlie platform documentation, SDK guides, and API references directly from official GitHub repositories.

Acerca de

This skill empowers Claude to provide accurate, up-to-date information about the LimaCharlie security operations platform by dynamically discovering and fetching content from official documentation repositories. It covers a vast range of topics including Detection & Response (D&R) rules, LimaCharlie Query Language (LCQL), REST APIs, Python/Go SDKs, and infrastructure integrations. By crawling index files and following relevant links in real-time, the skill ensures that Claude provides the most current technical guidance, implementation patterns, and configuration examples available in the LimaCharlie ecosystem, making it an essential tool for security engineers and developers.

Características Principales

Dynamic discovery of platform documentation via GitHub index files
Real-time retrieval of SDK, API, and LCQL reference materials
Detailed guidance on Detection & Response (D&R) rule creation
Parallel fetching of multiple relevant files for comprehensive answers
3 GitHub stars
Support for both core platform docs and AI-specific skill documentation

Casos de Uso

Writing and debugging LimaCharlie Detection & Response (D&R) rules
Implementing automated security workflows using the Python or Go SDKs
Learning how to configure sensors, outputs, and cloud integrations

Acerca de

Características Principales

Dynamic discovery of platform documentation via GitHub index files
Real-time retrieval of SDK, API, and LCQL reference materials
Detailed guidance on Detection & Response (D&R) rule creation
Parallel fetching of multiple relevant files for comprehensive answers
3 GitHub stars
Support for both core platform docs and AI-specific skill documentation

Casos de Uso

Writing and debugging LimaCharlie Detection & Response (D&R) rules
Implementing automated security workflows using the Python or Go SDKs
Learning how to configure sensors, outputs, and cloud integrations