reflectlisted

# /reflect — Session Learning System **First:** Read `LEARNINGS.md` (in this skill's directory) before proceeding. You are running a 4-phase reflection workflow. Follow each phase in order. **Arguments:** `$ARGUMENTS` --- ## Phase 1: Extract Run the extraction script to get candidate learnings from session JSONL. ```bash python3 ~/claude-assistant/scripts/extract-learnings.py $ARGUMENTS ``` If `$ARGUMENTS` is empty, it analyzes the latest session. Pass `--since YYYY-MM-DD` or `--file <path>` to customize scope. - If no pairs found -- tell user "Nothing to reflect on" and stop - If pairs found -- capture the output and proceed to Phase 2 --- ## Phase 2: Analyze For each candidate pair from Phase 1, determine: 1. **Is this a real learning?** ~40% are normal conversation — skip those. Look for: - Corrections ("no, do X instead", "actually...", "wrong") - Preferences ("always use...", "I prefer...", "from now on...") - Tool rejections with feedback (user denied + said why) - Workflow patterns (user repeatedly does something a specific way) - Implicit feedback (user rephrases, asks again, provides what Claude should have known) 2. **Check rejections** — Read `~/claude-assistant/knowledge/self/rejections.md`. For each candidate: - If it matches a previously rejected learning (same topic + target file): **skip silently**. Note in output: "Skipped: matches rejected learning from [date]" - If it *contradicts* a previously rejected learning (opposite