claude-reflect-system
🥈SilverClaude Reflect System enables Claude Code to learn from corrections and avoid repeating mistakes. Operations teams benefit from continuous improvement in code generation. It connects to Claude Code workflows and integrates with Python-based systems.
14580Updated 3mo ago
Intermediate30min to implementautomation
Saves ~240 min per use
Quick InstallView Source
git clone https://github.com/haddock-development/claude-reflect-system.gitWorks with:
Claude
Overview
About This Skill
Reflect System is a self-learning skill for Claude Code that creates permanent memory from user corrections. Unlike traditional AI assistants that forget between sessions, Reflect detects HIGH/MEDIUM/LOW confidence patterns from your feedback and automatically updates Claude's behavior. The system uses safe updates with timestamped backups, YAML validation, and Git integration to ensure reliability. Perfect for development teams, AI engineers, and automation workflows who want consistent code generation without repeating the same corrections. Works out of the box with Python 3.8+ and includes interactive review flows and optional auto-reflection at session end.
How to Use
Copy the reflect skill directory to ~/.claude/skills/, then work normally with Claude Code. When Claude makes a mistake, correct it explicitly (e.g., 'No, use X instead of Y'), then run /reflect to analyze the session. Review the detected patterns and approve changes. Enable /reflect-on for automatic learning at session end, or use /reflect manually after each correction.
Use Cases
Enforce coding standards and style preferences across all Claude Code sessions
Teach Claude project-specific tools like uv, pytest, and ruff permanently
Create team learning by sharing Git-tracked skill corrections
Implement security practices and compliance checks that persist across sessions
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/haddock-development/claude-reflect-systemRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Enable the Claude Reflect System for my [COMPANY]'s [INDUSTRY] workflow. I want to integrate it with our [PYTHON_BASED_SYSTEM] to improve code generation accuracy. Please provide step-by-step instructions for setup and initial configuration.
Example Output
# Claude Reflect System Integration Guide
## Step 1: Initial Setup
1. Install the Claude Reflect System package using pip:
```bash
pip install claude-reflect-system
```
2. Configure the system by editing the `config.json` file:
```json
{
"api_key": "your_api_key_here",
"learning_rate": 0.75,
"feedback_threshold": 0.5
}
```
## Step 2: Connect to Claude Code
1. Link the Reflect System to your Claude Code workflow by adding the following to your `main.py`:
```python
from claude_reflect_system import ReflectSystem
reflect = ReflectSystem(api_key='your_api_key_here')
reflect.connect_to_claude_code()
```
2. Monitor the integration status:
```python
print(reflect.connection_status)
```
## Step 3: Enable Continuous Learning
1. Activate the learning feature:
```python
reflect.enable_learning()
```
2. Set up feedback collection:
```python
reflect.setup_feedback_collection(threshold=0.5)
```Apply to these tools
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