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Found 2 Skills
AI SDLC evidence-backed retrospective workflow. Use when delivery work is complete or paused and an AI assistant needs to capture observations, connect them to validation or artifact evidence, formulate reviewable process or policy improvement proposals, assign ownership, and preserve the rule that policy changes require an accepted decision. Supports `--quick-flow` for focused learning and `--full-flow` for strict evidence and decision gates.
Session retrospective that turns THIS session's problems into durable, correctly-routed improvements. Trigger on /reflect, "what did we learn", "retro", "retrospective", "improve our workflow", "how do we not repeat this", or after a painful debugging round. It captures the DELTA (what went wrong, what was slow, what got corrected) and routes each lesson to where it will fire again: an owned skill, a project CLAUDE.md, a cross-project GOTCHAS.md file, or memory. NOT a what-was-done summary (that is invoice-generator) and NOT a single bug's root-cause record (that is post-mortem).