⚡ EXECUTION INSTRUCTIONS FOR CLAUDE

When this command is invoked, YOU (Claude) must execute these steps immediately: This is NOT documentation - these are COMMANDS to execute right now. Use TodoWrite to track progress through multi-phase workflows.

🚨 EXECUTION WORKFLOW

Phase 1: Workflow Integration:

Action Steps:

1. Before /research: Checkpoint current state before extensive research
2. After /execute: Checkpoint accomplishments before new tasks
3. During /orchestrate: Strategic breaks between agent task phases
4. Before context-heavy operations: Proactive checkpoint creation

📋 REFERENCE DOCUMENTATION

Context Checkpoint Command

Usage: /checkpoint [--summary] [--optimize]

Purpose: Create a strategic context checkpoint by summarizing current conversation state, capturing key insights, and providing optimization guidance for continuing complex tasks efficiently.

Features

Basic Checkpoint

• Conversation summary with key points captured
• Context usage analysis and remaining capacity
• Task status assessment with completed/pending items
• Strategic continuation recommendations

Summary Mode (--summary)

• Comprehensive conversation recap
• Key decisions and outcomes documented
• Technical insights and learnings captured
• Action items and next steps identified

Optimization Mode (--optimize)

• Context optimization recommendations
• Tool selection guidance for continuation
• Memory MCP integration suggestions
• Strategic approach for remaining tasks

Implementation

Purpose: Strategic conversation breaks to prevent context exhaustion and maintain efficiency during complex multi-phase tasks.

Checkpoint Creation Process:

1. Analyze current context consumption and complexity
2. Summarize conversation state with key insights
3. Document completed work and remaining tasks
4. Provide optimization guidance for continuation
5. Suggest break vs continue based on context health

Context Health Assessment:

• Green (0-30% context): Continue with current approach
• Yellow (31-60% context): Consider optimization strategies
• Orange (61-80% context): Implement efficiency measures
• Red (81%+ context): Strategic checkpoint required

Output Format

Basic Checkpoint:

📍 CONTEXT CHECKPOINT
━━━━━━━━━━━━━━━━━━━━━━━━━

📊 Context Status: ~45,200 / 500,000 tokens (9.0%)
🎯 Session Progress: 3/5 major tasks completed
⚡ Context Health: ✅ HEALTHY

🔑 Key Accomplishments:
• Enhanced speculation detection system implemented
• Comprehensive research documentation completed  
• Testing validation successful with 18 pattern detections
• Meta fail prevention protocols developed

📋 Remaining Tasks:
• Context optimization system design
• CLAUDE.md protocol enhancements
• Advanced slash command development

💡 Continuation Strategy:
✅ Context capacity excellent - continue with current approach
✅ Use Serena MCP for remaining file analysis
✅ Batch remaining optimization tasks

🎯 Optimal Break Point: After next major task completion

Summary Mode (--summary):

📍 COMPREHENSIVE SESSION SUMMARY  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔬 Research Phase Completed:
   → Extensive speculation & fake code detection research
   → Multi-source literature review (Nature, Anthropic, NeurIPS 2024)
   → 37 research-backed detection patterns identified
   → Working PostResponse hook system implemented

✅ Major Achievements:
   → 58+ real-time detections logged and validated
   → Orchestration agent testing successful (18 patterns detected)
   → Meta fail prevention protocols developed
   → Integration verification and testing methodologies established

🛠️ Technical Implementation:
   → Enhanced detection hook (.claude/hooks/detect_speculation_and_fake_code.sh)
   → Complete architecture documentation (3 roadmap files)
   → Self-reflection pipeline based on Google research
   → Comprehensive CLAUDE.md protocol enhancements

📚 Knowledge Captured:
   → Testing methodology learning (component vs system claims)
   → Investigation trust hierarchy protocols
   → File analysis and verification standards
   → Context optimization research and patterns

🎯 Next Phase Ready:
   → Context optimization system implementation
   → Enhanced slash command development
   → Advanced context management protocols
   → Strategic efficiency improvements

Strategic Use Cases

During Complex Tasks:

• Large PR Analysis: Checkpoint before analyzing 50+ file changes
• Multi-phase Research: Break between research and implementation phases
• Extended Debugging: Checkpoint before diving into complex troubleshooting
• Architectural Design: Break between analysis and design phases

Context Management:

• Proactive Optimization: Before context reaches 50% utilization
• Task Transitions: Between major workflow phases
• Knowledge Preservation: Capture insights before context reset
• Strategic Planning: Assess approach before continuing complex work

Integration with Other Commands

Command Composition:

/context | /checkpoint           # Check context then create checkpoint
/checkpoint --optimize | /plan   # Checkpoint with optimization then plan
/checkpoint --summary | /learn   # Comprehensive summary then capture learning

Memory MCP Integration

Knowledge Preservation:

• Key insights automatically captured in Memory MCP
• Technical patterns documented for future reference
• Decision rationales preserved across conversations
• Optimization learnings stored for pattern recognition

Continuation Support:

• Context reconstruction guidance for new conversations
• Task resumption recommendations with preserved state
• Knowledge continuity across session boundaries
• Strategic approach recommendations based on history

Advanced Features

Smart Recommendations:

• Context-aware suggestions based on remaining capacity
• Task complexity analysis for continuation planning
• Optimization opportunities specific to current work
• Strategic timing for maximum efficiency

Predictive Guidance:

• Estimated completion time based on current patterns
• Context consumption projection for remaining tasks
• Risk assessment for complex operations
• Alternative approach suggestions for efficiency

This command provides essential strategic conversation management, enabling efficient continuation of complex tasks while preventing context exhaustion and preserving valuable insights.