Scan, compile, promote, and benchmark M2M compression for documentation.
npx skills add https://github.com/FOUNDUPS/Foundups-Agent --skill m2m
Please help me install this Agent Skill. Skill: m2m Source: https://github.com/FOUNDUPS/Foundups-Agent/tree/main/.claude/skills/m2m Command: npx skills add https://github.com/FOUNDUPS/Foundups-Agent --skill m2m
This Skill automates the process of compressing machine-to-machine documentation, optimizing it for efficiency and storage.
Run a scan of the repository to identify documentation candidates for M2M compression.
High-intent search queries and answers about installing and using this skill.
Machine-to-machine documentation compression optimizes technical files for M2M communication and storage efficiency by scanning, compiling, and benchmarking text into a compact format.
Run a compression scan on your repository to automatically analyze and identify specific documentation files that are suitable for M2M format compilation and optimization.
Yes, M2M compression supports local operations with reversible changes, allowing you to promote compressed files to live documentation and safely rollback if needed.
Yes, the process includes benchmarking and evaluation metrics designed to measure compression performance and assess the quality of the resulting optimized documentation.
Use the compile and stage feature to batch specific files into M2M format, staging them for review before promoting the compressed documentation to your live environment.
No, this M2M compression skill operates locally without external dependencies, automating the entire workflow from scanning and compiling to benchmarking and promotion.
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