Generates PDCA retrospective reports and updates centralized learnings log from docs and state files.
npx skills add https://github.com/solitasroh/rkit --skill retro-solitasroh
Please help me install this Agent Skill. Skill: retro Source: https://github.com/solitasroh/rkit/tree/main/skills/retro Command: npx skills add https://github.com/solitasroh/rkit --skill retro-solitasroh
PDCA retrospectives after a completed project or feature are often unordered, leading to missed learnings and weak action items. This skill provides a structured, repeatable workflow to capture metrics, feedback, and lessons.
Execute a retrospective for a completed feature by running the retro command with the feature name plan, design, or report context.
High-intent search queries and answers about installing and using this skill.
Automate structured PDCA retrospectives by running the retro command with a feature name to aggregate metrics, outcomes, and learnings into a consistent narrative. It evaluates AI assistance and workflow adherence to generate actionable insights.
Document lessons learned by capturing what went well and areas for improvement, translating insights into concrete action items. Outputs are saved as markdown reports and centralized learnings logs for future planning and traceability.
A retrospective workflow aggregates data by collecting metrics and feedback from docs/04-report, state files, and the central learnings log to evaluate action-item quality and workflow adherence with clear provenance.
Yes, you can run PDCA retrospectives across MCU, MPU, and WPF projects and teams. The workflow applies consistently to collect data, evaluate workflow adherence, and maintain centralized learnings logs.
Retrospective outputs and learnings are saved to docs/04-report/{feature}.retro.md and .rkit/state/learnings.json. This ensures clear provenance and traceability for future planning cycles.
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