Analyze user feedback and propose scoped updates to workspace context documentation.
npx skills add https://github.com/pipecrew-ai/pipecrew --skill learn-pipecrew-ai
Please help me install this Agent Skill. Skill: learn Source: https://github.com/pipecrew-ai/pipecrew/tree/main/skills/learn Command: npx skills add https://github.com/pipecrew-ai/pipecrew --skill learn-pipecrew-ai
This Skill addresses the challenge of capturing and applying user feedback to update workspace context documentation, facilitating knowledge retention and process improvement over time.
Run the /pipecrew:learn command with the appropriate flags, such as --pr=<url> or --run=<run_id>, to initiate the learning process.
High-intent search queries and answers about installing and using this skill.
To update workspace context docs from user feedback, analyze merged PRs and session logs to propose scoped updates to files like platform.md and CLAUDE.md. This process classifies findings into workspace and repo tiers to ensure knowledge retention.
Retaining engineering knowledge across multi-repo workflows involves analyzing branch diffs and recorded deliveries to identify process improvements. The system proposes targeted updates to durable context documents, ensuring critical conventions persist across repositories.
Yes, you can automatically apply feedback analysis findings to affected branches. The fix-round dispatch feature optionally deploys implementer agents to update branches directly, aligning them immediately with newly established conventions.
Feedback analysis classifies documentation updates by sorting findings into four distinct scopes: workspace, repo, plugin, and run-local. This tier classification ensures that proposed changes to context documents target the correct architectural level.
Yes, you need Python scripts to analyze Claude Code sessions and free-form text for process improvement. These scripts perform the feedback analysis required to identify patterns and propose scoped updates to your context documentation.
vercel-labsAnalyze code changes and provide actionable feedback on defects, style, and design.
qq824045252-ship-itCoordinate fresh implementer and reviewer subagents through a two-stage review workflow.
softmgCoordinate multi-repository changes and synchronize packages across GitHub repositories.
az9713Automate post-ship documentation updates by cross-referencing code changes.
