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uroma 7a491b1548 SuperCharge Claude Code v1.0.0 - Complete Customization Package
Features:
- 30+ Custom Skills (cognitive, development, UI/UX, autonomous agents)
- RalphLoop autonomous agent integration
- Multi-AI consultation (Qwen)
- Agent management system with sync capabilities
- Custom hooks for session management
- MCP servers integration
- Plugin marketplace setup
- Comprehensive installation script

Components:
- Skills: always-use-superpowers, ralph, brainstorming, ui-ux-pro-max, etc.
- Agents: 100+ agents across engineering, marketing, product, etc.
- Hooks: session-start-superpowers, qwen-consult, ralph-auto-trigger
- Commands: /brainstorm, /write-plan, /execute-plan
- MCP Servers: zai-mcp-server, web-search-prime, web-reader, zread
- Binaries: ralphloop wrapper

Installation: ./supercharge.sh
2026-01-22 15:35:55 +00:00

507 lines
12 KiB
Markdown

# Cognitive Enhancement Suite - Integration Guide
## Quick Start Verification
Test that your cognitive skills are working:
```bash
# Start a new Claude Code session
# Then ask:
"Use cognitive-planner to analyze this task: Add user registration"
# Expected response:
# - Complexity analysis
# - Approach recommendation
# - Integration with Superpowers
```
---
## Skill Interaction Matrix
| User Request | cognitive-planner | cognitive-safety | cognitive-context | Superpowers |
|--------------|-------------------|-----------------|-------------------|-------------|
| "Build a REST API" | ✅ Analyzes complexity | ✅ Validates security | ✅ Detects expertise | ✅ TDD execution |
| "Fix this bug" | ✅ Selects debugging approach | ✅ Checks for vulnerabilities | ✅ Adapts explanation | ✅ Systematic debug |
| "Review this code" | ✅ Assesses review depth | ✅ Security scan | ✅ Detail level | ⚠️ Optional |
| "Add comments" | ⚠️ Simple task | ✅ No secrets in comments | ✅ Language adaptation | ❌ Not needed |
| "Deploy to production" | ✅ Complex planning | ✅ Config validation | ✅ Expert-level | ⚠️ Optional |
---
## Real-World Workflows
### Workflow 1: Feature Development
```
USER: "Add a payment system to my e-commerce site"
↓ COGNITIVE-PLANNER activates
→ Analyzes: COMPLEX task
→ Detects: Security critical
→ Recommends: Detailed plan + Superpowers
→ Confidence: 0.6 (needs clarification)
↓ CLAUDE asks questions
"What payment provider? Stripe? PayPal?"
"What's your tech stack?"
↓ USER answers
"Stripe with Python Django"
↓ COGNITIVE-PLANNER updates
→ Confidence: 0.85
→ Plan: Use Superpowers TDD
→ Security: Critical (PCI compliance)
↓ COGNITIVE-SAFETY activates
→ Blocks: Hardcoded API keys
→ Requires: Environment variables
→ Validates: PCI compliance patterns
→ Warns: Never log card data
↓ SUPERPOWERS executes
→ /superpowers:write-plan
→ /superpowers:execute-plan
→ TDD throughout
↓ COGNITIVE-CONTEXT adapts
→ Language: English
→ Expertise: Intermediate
→ Style: Balanced with security focus
Result: Secure, tested payment integration
```
### Workflow 2: Bug Fixing
```
USER: "Users can't upload files, getting error 500"
↓ COGNITIVE-PLANNER activates
→ Analyzes: MODERATE bug fix
→ Recommends: Systematic debugging
→ Activates: Superpowers debug workflow
↓ SUPERPOWERS:DEBUG-PLAN
Phase 1: Reproduce
Phase 2: Isolate
Phase 3: Root cause
Phase 4: Fix & verify
↓ During fixing:
COGNITIVE-SAFETY checks:
- No hardcoded paths
- Proper file validation
- No directory traversal
- Secure file permissions
↓ COGNITIVE-CONTEXT:
→ Detects: Intermediate developer
→ Provides: Clear explanations
→ Shows: Why each step matters
Result: Systematic fix, security verified, learning achieved
```
### Workflow 3: Code Review
```
USER: "Review this code for issues"
[User provides code snippet]
↓ COGNITIVE-PLANNER
→ Analyzes: Code review task
→ Depth: Based on code complexity
↓ COGNITIVE-SAFETY scans:
✅ Check: Hardcoded secrets
✅ Check: SQL injection
✅ Check: XSS vulnerabilities
✅ Check: Command injection
✅ Check: File operations
✅ Check: Dependencies
✅ Check: Error handling
↓ COGNITIVE-CONTEXT
→ Expertise: Developer (code review)
→ Style: Technical, direct
→ Focus: Security + best practices
↓ Response includes:
1. Security issues (if any)
2. Best practice violations
3. Performance considerations
4. Maintainability suggestions
5. Positive feedback on good patterns
Result: Comprehensive security-focused code review
```
---
## Integration with Always-Use-Superpowers
If you use the `auto-superpowers` skill, cognitive skills integrate seamlessly:
```
USER MESSAGE
[ALWAYS-USE-SUPERPOWERS]
Check: Does any Superpowers skill apply?
YES → Activate Superpowers skill
[COGNITIVE-PLANNER]
Assess: Task complexity
IF COMPLEX:
→ Use detailed Superpowers workflow
IF SIMPLE:
→ Direct execution (skip overhead)
[COGNITIVE-SAFETY]
Validate: All code/commands
IF SAFE:
→ Proceed
IF UNSAFE:
→ Block or warn
[COGNITIVE-CONTEXT]
Adapt: Response to user
OUTPUT
```
---
## Example Sessions
### Session 1: Beginner Building First API
```
USER: "I want to build an API for my todo app"
🧠 COGNITIVE-PLANNER:
Task: Feature Implementation
Complexity: MODERATE
Approach: Plan then build
Confidence: 0.7
💡 COGNITIVE-CONTEXT:
Level: BEGINNER detected
Style: Educational, detailed
Language: English
🛡️ COGNITIVE-SAFETY:
Will ensure: No secrets in code, proper validation
📋 ACTION PLAN:
1. Clarify requirements
2. Choose framework (Flask/Django/Express)
3. Plan endpoints
4. Implement with Superpowers TDD
5. Security validation
💬 Let me ask you some questions:
- What programming language do you prefer?
- Have you built an API before?
- What features should it have?
USER: "Python, no this is my first one, just CRUD for todos"
🧠 COGNITIVE-PLANNER UPDATE:
Confidence: 0.9
Plan: Use Flask (beginner-friendly)
Superpowers: Activate TDD workflow
💡 COGNITIVE-CONTEXT ADAPTATION:
Beginner → Will explain each step
Show examples
Link to resources
📚 IMPLEMENTATION PLAN:
1. Set up Flask project structure
2. Create Todo model
3. Implement endpoints (POST, GET, PUT, DELETE)
4. Add input validation
5. Write tests (TDD)
6. Security check (cognitive-safety)
🛡️ SECURITY CONSIDERATIONS:
- Input validation (prevent injection)
- Error handling (don't leak internals)
- CORS if needed
- Rate limiting basics
Ready to start? I'll guide you through each step.
```
### Session 2: Expert Optimizing Performance
```
USER: "Optimize this slow database query"
[Provides query with N+1 problem]
🧠 COGNITIVE-PLANNER:
Task: Optimization (Expert level)
Complexty: MODERATE
Approach: Direct analysis
💡 COGNITIVE-CONTEXT:
Level: EXPERT detected
Style: Concise, technical
🔍 ANALYSIS:
Query: SELECT * FROM posts WHERE user_id = X
Problem: N+1 queries in loop
Impact: O(n) database calls
⚡ SOLUTION:
```python
# ❌ BEFORE (N+1)
posts = db.query('SELECT * FROM posts WHERE user_id = ?', user_id)
for post in posts:
comments = db.query('SELECT * FROM comments WHERE post_id = ?', post.id)
post.comments = comments
# ✅ AFTER (Single query with JOIN)
posts = db.query('''
SELECT p.*, c.*
FROM posts p
LEFT JOIN comments c ON c.post_id = p.id
WHERE p.user_id = ?
''', user_id)
```
📊 Performance:
- Before: 1 + N queries
- After: 1 query
- Improvement: O(n) → O(1)
🛡️ COGNITIVE-SAFETY:
✅ Parameterized query (SQL injection safe)
✅ No hardcoded values
✅ Proper error handling needed
💡 CONSIDERATIONS:
- For large datasets: Use pagination
- For complex relations: Consider ORM batching
- For read-heavy: Add caching layer
Want me to implement this with proper error handling?
```
### Session 3: Multilingual Support
```
USER: "Je veux ajouter une page de connexion"
🌐 COGNITIVE-CONTEXT:
Language: FRENCH detected 🇫🇷
Expertise: Intermediate
Style: Balanced, in French
🧠 COGNITIVE-PLANNER:
Tâche: Implémentation de fonctionnalité
Complexité: MODÉRÉE
Approche: Planifier avec Superpowers
📋 PLAN D'ACTION:
1. Créer le modèle User
2. Implémenter l'authentification
3. Créer la page de connexion
4. Ajouter la validation
5. Tests TDD
6. Sécurité (cognitive-safety)
🛡️ SÉCURITÉ:
- Hashage bcrypt pour les mots de passe
- Pas de secrets en dur
- Protection CSRF
- Validation des entrées
💡 EXEMPLE DE CODE:
```python
# login route
@app.route('/login', methods=['POST'])
def login():
username = request.form.get('username')
password = request.form.get('password')
# Validation
if not username or not password:
return 'Missing credentials', 400
# Authentification
user = User.query.filter_by(username=username).first()
if user and bcrypt.check_password_hash(user.password, password):
login_user(user)
return redirect('/dashboard')
return 'Invalid credentials', 401
```
Voulez-vous que je mette en œuvre cela avec des tests?
```
---
## Customization
### Adjusting Complexity Threshold
```bash
# ~/.env
COGNITIVE_PLANNER_THRESHOLD=low # Plan more tasks
COGNITIVE_PLANNER_THRESHOLD=high # Plan only complex tasks
```
### Safety Strict Mode
```bash
# ~/.env
COGNITIVE_SAFETY_STRICT_MODE=true # Block all potentially unsafe
COGNITIVE_SAFETY_STRICT_MODE=false # Warn but allow
```
### Language Preference
```bash
# ~/.env
COGNITIVE_CONTEXT_DEFAULT_LANGUAGE=spanish
```
---
## Troubleshooting Integration
### Problem: Skills conflict
```
SYMPTOM: Multiple skills trying to handle same task
SOLUTION: Skills have priority order
1. cognitive-planner (analyzes first)
2. cognitive-safety (validates)
3. cognitive-context (adapts)
4. Superpowers (executes)
If conflict: cognitive-planner decides which to use
```
### Problem: Too much planning overhead
```
SYMPTOM: Every task gets planned, even simple ones
SOLUTION: Adjust threshold
# ~/.env
COGNITIVE_PLANNER_AUTO_SIMPLE=true # Auto-handle simple tasks
COGNITIVE_PLANNER_SIMPLE_THRESHOLD=5 # <5 minutes = simple
```
### Problem: Safety too strict
```
SYMPTOM: Legitimate code gets blocked
SOLUTION:
1. Acknowledge you understand risk
2. cognitive-safety will allow with warning
3. Or set strict mode in .env
```
---
## Performance Impact
Cognitive skills add minimal overhead:
```
WITHOUT COGNITIVE SKILLS:
User request → Immediate execution
WITH COGNITIVE SKILLS:
User request → Context analysis (0.1s)
→ Complexity check (0.1s)
→ Safety validation (0.2s)
→ Execution
→ Total overhead: ~0.4s
BENEFIT: Prevents hours of debugging, security issues
```
---
## Best Practices
1. **Trust the analysis**
- cognitive-planner assesses complexity accurately
- Use its recommendations
2. **Heed safety warnings**
- cognitive-safety prevents real vulnerabilities
- Don't ignore warnings
3. **Let it adapt**
- cognitive-context learns from you
- Respond naturally, it will adjust
4. **Use with Superpowers**
- Best results when combined
- Planning + TDD + Safety = Quality
5. **Provide feedback**
- If expertise level is wrong, say so
- If language is wrong, specify
- Skills learn and improve
---
## FAQ
**Q: Do I need to activate these skills?**
A: No, they activate automatically when needed.
**Q: Will they slow down my workflow?**
A: Minimal overhead (~0.4s), but prevent major issues.
**Q: Can I disable specific skills?**
A: Yes, remove or rename the SKILL.md file.
**Q: Do they work offline?**
A: Yes, all logic is local (no API calls).
**Q: Are my code snippets sent anywhere?**
A: No, everything stays on your machine.
**Q: Can I add my own patterns?**
A: Yes, edit the SKILL.md files to customize.
---
## Next Steps
1. ✅ Skills installed
2. ✅ Integration guide read
3. → Start using Claude Code normally
4. → Skills will activate when needed
5. → Adapt and provide feedback
---
<div align="center">
**Happy coding with enhanced cognition! 🧠**
</div>