ci_architecture

You can generate a GitHub Actions architecture diagram by running the included Python scripts in the Skill directory to extract raw workflow data and leverage an LLM to output a CI_ARCHITECTURE.md report with call graphs and matrix expansions.

Yes, you can visualize CI/CD call graphs and matrix expansions for multiple projects. The Skill produces consistent architecture diagrams and call trees by extracting workflows, jobs, steps, actions, and pre-commit configurations.

Yes, you need Python 3.8 or higher and the pyyaml dependency to analyze GitHub Actions CI/CD architecture. You must run the data extraction and prompt-generation scripts from the Skill directory to generate the final report.

The best way to document complex GitHub Actions workflows is using LLM-driven architecture reasoning to classify and convert raw workflow data into an actionable CI/CD architecture diagram and call graph.

Yes, the CI architecture analysis applies to GitHub Actions and other CI systems. It extracts raw workflow data and leverages an LLM to generate a comprehensive architecture report including call graphs and stage descriptions.