reflectlisted

# Reflect - Agent Self-Improvement Skill Transform your AI assistant into a continuously improving partner. Every correction becomes a permanent improvement that persists across all future sessions. ## Quick Reference | Command | Action | |---------|--------| | `reflect` | Analyze conversation for learnings | | `reflect on` | Enable auto-reflection | | `reflect off` | Disable auto-reflection | | `reflect status` | Show state and metrics | | `reflect review` | Review pending learnings | ## When to Use - After completing complex tasks - When user explicitly corrects behavior ("never do X", "always Y") - At session boundaries or before context compaction - When successful patterns are worth preserving ## Workflow ### Step 1: Scan Conversation for Signals Analyze the conversation for correction signals and learning opportunities. **Signal Confidence Levels:** | Confidence | Triggers | Examples | |------------|----------|----------| | **HIGH** | Explicit corrections | "never", "always", "wrong", "stop", "the rule is" | | **MEDIUM** | Approved approaches | "perfect", "exactly", "that's right", accepted output | | **LOW** | Observations | Patterns that worked but not explicitly validated | See [signal_patterns.md](signal_patterns.md) for full detection rules. ### Step 2: Classify & Match to Target Files Map each signal to the appropriate target: | Category | Target Files | |----------|--------------| | Code Style | `code-reviewer`, `backend-developer`, `frontend-develo