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Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md.
Passed 23 of 24 test cases with the skill, and 6 of 24 without it.
and 14 more in the full report
17 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you show me a list of all the pending corrections you've recorded so far without actually making any changes to my system files yet?
| Checked | Without skill | With skill |
|---|---|---|
| specifies the /view-queue command | 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 |
/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 / 24 without
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