Enables automated capture of session insights and improvement opportunities for the Product Forge ecosystem.
Feedback & Improvement Hooks is a specialized utility designed to streamline the evolution of your AI development environment by integrating local session analysis into your workflow. By adding a post-session 'Stop' hook to Claude Code, the skill leverages the Haiku model to automatically identify bugs, new skill ideas, and reusable patterns from your coding sessions. All data remains strictly local in your machine's learnings directory, providing a privacy-first way to capture 'eureka' moments and workflow improvements that can later be reviewed and shared to enhance the Product Forge multi-agent marketplace.
Key Features
01Privacy-centric design with manual review before data submission
02Automated post-session analysis using the Haiku model
03Intelligent identification of bugs, improvements, and reusable patterns
048 GitHub stars
05Per-project opt-in via local configuration hooks
06Local-first storage of feedback and insights in ~/.claude/learnings/
Use Cases
01Tracking and reporting bugs encountered during multi-agent development
02Capturing recurring coding patterns for personal or team documentation
03Contributing to the improvement of Product Forge marketplace plugins
