ai-retrospective
Installation
SKILL.md
AI Collaboration Retrospective
Post-session systematic review tool. Eight-dimension deep analysis drives a continuous improvement loop for AI-assisted development.
Core Principles
- Conversation context is the data source: The complete conversation history of the current session is already in context — no external data fetching needed
- Progressive loading: Detailed evaluation criteria live in
references/analysis_dimensions.md— load on demand - Self-reflection first: Examine the AI's own shortcomings before analyzing user-side improvements. This is NOT about criticizing the user — it's about finding efficiency gains in the "AI + Human" collaboration
- Quantify everything: Every finding must reference specific conversation turns, wasted operations, and include counterfactual reasoning ("If X had been done, Y turns could have been saved")
- Dig deep: Don't settle for "no findings." Complete the self-check list for each dimension before declaring it clean
Execution Model
This skill is pure LLM instruction-driven — no scripts, no external dependencies. It works on any AI assistant that can:
- Access the current conversation history
- Read reference files from this skill's directory
- Write output files to the workspace