Creates Python projects with proper structure, virtual environments, and dependency management. Use when users request to create a new Python project, set up a Python development environment, or initialize a Python application with standard tooling.
Analyzes conversation transcripts to extract user corrections, patterns, and preferences, then proposes skill improvements. Use this skill when users provide corrections, express preferences about code style, or when patterns emerge from successful approaches. Can be triggered manually with /reflect or automatically…
Use when the user asks to synthesize, summarize, or analyze the AI session retro log — recurring friction in AI-assisted work, patterns across AI sessions, or prep for a team retrospective (e.g. "what patterns are in our AI retros", "prep the AI retro summary for Friday"). Companion to ai-session-retro, which writes…
Use when a working session with an AI is wrapping up and should be reviewed and logged — "run a retro on this session", "AI session retro", "debrief this session", "log this session" — or when asked to retro a past session from a transcript. Offer it proactively at the natural end of a large or multi-step session. Do…
Use when the user wants the AI's retro recommendations prepared and posted into TeamRetro — "post the AI's recommendations to TeamRetro", "prep our TeamRetro retro with the AI's findings", "park the top fixes for next retro", "add the AI's feedback to Friday's retro". Do NOT use for general TeamRetro administration…
Install structured self-improvement loops with instinct-based learning into Claude Code — research, plan, execute, verify, reflect, learn, iterate. On-demand or weekly analysis to save tokens. Supports multi-agent parallel analysis.
Enforces Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline at the deploy seam. A merge into a branch that auto-deploys is not "done" until the deploy provider reports the merged commit SHA running and a healthcheck endpoint returns 200. Companion to the vendored finishing-a-development-branch skill…
Enforces Law 1 (Research Before Executing), Law 3 (One Thing at a Time), and Law 4 (Verify Before Reporting) of the 7 Laws of AI Agent Discipline. Fix one defect through TDD and one PR, isolate unrelated dirty checkouts in an owner-locked clean worktree, and return only eligible clean checkouts to the detected default…
Generates a Toyota-style A3 problem-solving report from a problem statement. Use this skill when the user mentions A3 reports, root cause analysis, 5-Whys, fishbone diagrams, Ishikawa, lean problem solving, DMAIC, manufacturing issues, quality escapes, production downtime, scrap reduction, yield problems, or asks to…