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Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md.
Passed 19 of 21 test cases with the skill, and 6 of 21 without it.
and 11 more in the full report
14 fixed6 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
I gave a bunch of feedback in previous sessions today that I want saved. Can you go through my past chat history to find any corrections I made that were missed?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends running /reflect --scan-history to discover missed learnings from prior sessions | Missed | Passed |
The instructions your model reads when the skill loads.
A two-stage system that helps Claude Code learn from user corrections.
Stage 1: Capture (Automatic)
Hooks detect correction patterns ("no, use X", "actually...", "use X not Y") and queue them to ~/.claude/learnings-queue.json.
Stage 2: Process (Manual)
User runs /reflect to review and apply queued learnings to CLAUDE.md files.
| Command | Purpose |
|---|---|
/reflect | Process queued learnings with human review |
/reflect --scan-history | Scan past sessions for missed learnings |
/reflect --dry-run | Preview changes without applying |
/reflect-skills | Discover skill candidates from repeating patterns |
/skip-reflect | Discard all queued learnings |
/view-queue | View pending learnings without processing |
Remind users about /reflect when:
High-confidence corrections:
test cases passed, vs 6 / 21 without
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