claude-reflect
💡 Summary
Claude Reflect is a self-learning system that captures user corrections for future sessions.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: permissions, data flow, and dependency risk. Run with least privilege and audit before enabling in production.
name: claude-reflect description: 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.
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)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]
Pros
- Automatically captures user corrections
- Facilitates continuous learning for AI
- Offers multiple commands for flexibility
Cons
- Requires manual intervention to apply learnings
- May miss corrections if not detected properly
- Dependency on user reminders for effectiveness
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author BayramAnnakov.