claude-reflect
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기포함된 파일(51)
- SKILL.md2.4 KB
- .claude-plugin/marketplace.json590 B
- .claude-plugin/plugin.json481 B
- .github/FUNDING.yml22 B
- .github/workflows/test.yml1010 B
- .gitignore122 B
- assets/reflect-demo.jpg80.1 KB
- assets/reflect-mod-band.png38.0 KB
- BACKLOG.md10.1 KB
- CHANGELOG.md17.7 KB
- CLAUDE.md7.6 KB
- commands/reflect-skills.md12.6 KB
- commands/reflect.md63.7 KB
- commands/skip-reflect.md997 B
- commands/view-queue.md4.3 KB
- DISTRIBUTION.md10.2 KB
- hooks/hooks.json990 B
- LICENSE1.0 KB
- mod/.claude-plugin/plugin.json461 B
- mod/hooks/hooks.json34 B
- mod/hooks/reflect.test.tsx10.7 KB
- mod/hooks/register.tsx17.3 KB
- mod/README.md4.0 KB
- mod/types/index.d.ts956 B
- README.md17.9 KB
- RELEASING.md1.0 KB
- scripts/capture_learning.py3.6 KB
- scripts/check_learnings.py1.5 KB
- scripts/clear_queue.py704 B
- scripts/compare_detection.py14.0 KB
- scripts/extract_session_learnings.py1.1 KB
- scripts/extract_tool_errors.py5.1 KB
- scripts/extract_tool_rejections.py1.0 KB
- scripts/legacy/capture-learning.sh5.2 KB
- scripts/legacy/check-learnings.sh741 B
- scripts/legacy/extract-session-learnings.sh1.4 KB
- scripts/legacy/extract-tool-rejections.sh1.0 KB
- scripts/legacy/post-commit-reminder.sh1.1 KB
- scripts/lib/__init__.py39 B
- scripts/lib/reflect_utils.py73.8 KB
- scripts/lib/semantic_detector.py17.4 KB
- scripts/post_commit_reminder.py1.7 KB
- scripts/project_paths.py2.2 KB
- scripts/read_queue.py291 B
- scripts/session_start_reminder.py2.0 KB
- tests/__init__.py47 B
- tests/test_integration.py17.3 KB
- tests/test_memory_hierarchy.py60.0 KB
- tests/test_reflect_utils.py53.8 KB
- tests/test_semantic_detector.py25.9 KB
- tests/test_tool_errors.py12.0 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Claude Reflect - Self-Learning System
A two-stage system that helps Claude Code learn from user corrections.
How It Works
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.
Available Commands
| 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 |
When to Remind Users
Remind users about /reflect when:
- They complete a feature or meaningful work unit
- They make corrections you should remember for future sessions
- They explicitly say "remember this" or similar
- Context is about to compact and queue has items
Correction Detection Patterns
High-confidence corrections:
- Tool rejections (user stops an action with guidance)
- "no, use X" / "don't use Y"
- "actually..." / "I meant..."
- "use X not Y" / "X instead of Y"
- "remember:" (explicit marker)
Learning Destinations
~/.claude/CLAUDE.md- Global learnings (model names, general patterns)./CLAUDE.md- Project-specific learnings (conventions, tools, structure)./CLAUDE.local.md- Personal learnings (machine-specific, gitignored)./.claude/rules/*.md- Modular rules with optional path-scoping~/.claude/rules/*.md- Global modular rules~/.claude/projects/<project>/memory/*.md- Auto memory (low-confidence, exploratory)commands/*.md- Skill improvements (corrections during skill execution)
Example Interaction
User: no, use gpt-5.1 not gpt-5 for reasoning tasks
Claude: Got it, I'll use gpt-5.1 for reasoning tasks.
[Hook captures this correction to queue]
User: /reflect
Claude: Found 1 learning queued. "Use gpt-5.1 for reasoning tasks"
Scope: global
Apply to ~/.claude/CLAUDE.md? [y/n]
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