Capture engineering learnings as searchable documentation under codestable/compound.
npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-learn
Please help me install this Agent Skill. Skill: cs-learn Source: https://github.com/liuzhengdongfortest/CodeStable/tree/main/cs-learn Command: npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-learn
It helps teams capture and organize engineering learnings from projects into a centralized, searchable learning repository to prevent repeating mistakes and promote reusable practices.
Tell your AI to record the current engineering experience as a learning document under codestable/compound with a YYYY-MM-DD-learning slug name.
High-intent search queries and answers about installing and using this skill.
Engineering learning documentation is captured into a centralized repository using pitfall and knowledge tracks. This Skill structures entries into reusable documentation under codestable/compound, preventing repeated mistakes.
Project pitfalls are recorded by logging problems, root causes, and solutions into a searchable knowledge base. This Skill uses a dedicated pitfall track to archive engineering learnings with structured frontmatter.
Engineering knowledge documents are structured by applying frontmatter doc_type: learning and using predefined templates. This Skill enforces this structure for feature and issue workflows, saving outputs in codestable/compound.
Engineering knowledge is captured at natural project milestones like feature or issue completion. This Skill integrates into workflows by archiving learning documents with date-based filenames when triggered.
Yes, learning documentation requires date-based filenames formatted as YYYY-MM-DD-learning-slug. This Skill enforces this naming convention alongside frontmatter doc_type: learning when archiving files under codestable/compound.
AnveioCreate Claude Code skills with YAML frontmatter and standard directory structure.
liuzhengdongfortestLog project pitfalls and knowledge notes into searchable markdown files.
CharGrnmnMark completed research milestones, archive documents, and tag them in version control.
karrtik159Generate optimized multi-stage Dockerfiles with layer caching and security practices.
