Consolidate post-implementation learnings into DESIGN.md and propose IMPROVEMENTS.md entries.
npx skills add https://github.com/ryryo/dot-claude-dev --skill dev-feedback
Please help me install this Agent Skill. Skill: dev:feedback Source: https://github.com/ryryo/dot-claude-dev/tree/main/.claude/skills/dev/feedback Command: npx skills add https://github.com/ryryo/dot-claude-dev --skill dev-feedback
After implementing a feature, this skill automatically captures learnings and stores them in design documentation, enabling continuous improvement of skills, rules, and workflows.
Use the /dev:feedback command after implementing a task to store DESIGN.md updates and suggest IMPROVEMENTS.md entries.
High-intent search queries and answers about installing and using this skill.
To capture post-implementation learnings in design docs, use this skill to consolidate review insights directly into your feature's DESIGN.md. It automatically appends implementation learnings to strengthen future development workflows.
You can generate improvement proposals from feature reviews by applying this skill to create IMPROVEMENTS.md entries. It identifies recurring patterns and suggests system-wide changes to track ideas for future backlog work.
Yes, you can update DESIGN.md automatically after completing a coding task by running the /dev:feedback command. It relies on existing repository documentation and agent workflows to operate without requiring additional tools.
A learning loop for software design consistency is a process that identifies recurring implementation patterns and suggests changes to skills or rules. This skill automates that loop by storing documentation updates after every task.
No, you do not need external tools to track IMPROVEMENTS.md proposals. This skill operates entirely without additional dependencies, relying on existing agent workflows and repository documentation to generate and store improvements.
You should document project learnings in DESIGN.md immediately after implementing any feature or task where capturing insights would benefit the project backlog. This ensures design consistency and continuous workflow improvement.
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