Troubleshooting Assistant Skill

Expert diagnostic system for identifying and resolving Claude Patent Creator issues.

When to Use

System not working, error messages, slow performance, MCP server not loading, search returns no results/errors, GPU not detected, BigQuery auth fails, index build fails, tests failing, unexpected behavior.

Troubleshooting Methodology

Problem Reported
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[1] Gather Information (errors, recent changes, system state)
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[2] Reproduce Issue (minimal test case, consistent?)
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[3] Isolate Component (which part failing? dependencies?)
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[4] Diagnose Root Cause (check logs, test components, verify config)
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[5] Apply Fix (targeted solution, verify works)
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[6] Prevent Recurrence (document, add monitoring, update checks)

Common Issues & Quick Fixes

Issue	Quick Fix
MCP server not loading	`claude mcp list` -> Re-register if missing
GPU not detected	Reinstall PyTorch with CUDA
BigQuery auth fails	`gcloud auth application-default login`
Index not found	`patent-creator rebuild-index`
Import errors	Activate venv: `venv\Scripts\activate`
Slow searches	Check GPU usage, reduce top_k, disable HyDE
Irrelevant results	Rephrase query with MPEP terminology

Detailed Issue Guides

MCP Server Issues

Problems: Server not loading, tools don't work/return errors

5-step diagnostic workflow
Path verification and correction
Dependency troubleshooting
Server restart procedures

GPU & BigQuery Issues

Problems: GPU not detected, slow performance, BigQuery auth fails, query timeouts

CUDA detection and PyTorch reinstallation
Performance diagnostics and optimization
BigQuery authentication and permissions
Timeout configuration

Index, Dependencies & Configuration

Problems: Index not found, build fails, ModuleNotFoundError, import errors, env vars not loading, irrelevant search results

Index rebuild procedures
OOM (Out of Memory) solutions
Virtual environment activation
Pydantic validation errors
Configuration troubleshooting
Search quality tuning

Diagnostic Tools

Health Check Suite

# Full system health
patent-creator health

# Individual components
python scripts/test_gpu.py
python scripts/test_bigquery.py
python scripts/test_analyzers.py
python scripts/test_install.py

Component Isolation

# Test MPEP search
python -c "from mcp_server.mpep_search import MPEPIndex; \
           index = MPEPIndex(); \
           print('OK' if index.search('test', top_k=1) else 'FAILED')"

# Test BigQuery
python -c "from mcp_server.bigquery_search import BigQueryPatentSearch; \
           search = BigQueryPatentSearch(); \
           print('OK' if search.search_patents('neural network', limit=1) else 'FAILED')"

# Test analyzers
python -c "from mcp_server.claims_analyzer import ClaimsAnalyzer; \
           analyzer = ClaimsAnalyzer(); \
           print('OK' if analyzer.analyze('1. A test claim.') else 'FAILED')"

Log analysis (debug mode)
MCP communication debugging
Performance profiling
Memory profiling
Issue escalation procedures

Best Practices for Prevention

Regular health checks (weekly patent-creator health)
Monitor logs for warnings/errors
Keep dependencies updated (test before deploying)
Backup before changes (especially index rebuilds)
Document modifications
Test after changes (run test suite)
Version control (use git)
Environment consistency (same Python/CUDA versions)

Quick Reference

Most Common Errors

Error	Category	Solution
"Tool not found"	MCP	`claude mcp list`
"ModuleNotFoundError"	Dependencies	Activate venv, reinstall
"CUDA not available"	GPU	Reinstall PyTorch with CUDA
"Permission denied" (BigQuery)	Auth	`gcloud auth application-default login`
"Index not found"	Index	`patent-creator rebuild-index`
"Out of memory"	Index Build	Reduce batch size
"Validation error"	Input	Check Pydantic model parameters

Diagnostic Commands

# System health
patent-creator health

# Test components
python scripts/test_gpu.py
python scripts/test_bigquery.py
python scripts/test_install.py

# Check registration
claude mcp list

# Check paths
patent-creator verify-config

# Enable debug logging
export PATENT_LOG_LEVEL=DEBUG

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