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- Core configuration files (CLAUDE.md, RULES.md, PERSONAS.md, MCP.md) - 17 slash commands for specialized workflows - 25 shared YAML resources for advanced configurations - Installation script for global deployment - 9 cognitive personas for specialized thinking modes - MCP integration patterns for intelligent tool usage - Token economy and ultracompressed mode support 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
173 lines
5.9 KiB
YAML
173 lines
5.9 KiB
YAML
# Error Recovery & Resilience Patterns
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## Error Classification & Response
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```yaml
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Error Severity Levels:
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CRITICAL [10]: Data loss, security breach, prod down
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Response: Immediate stop, alert, rollback, incident response
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Recovery: Manual intervention required, full investigation
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HIGH [7-9]: Build failure, test failure, deployment issues
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Response: Stop workflow, notify user, suggest fixes
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Recovery: Automated retry w/ backoff, alternative paths
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MEDIUM [4-6]: Warning conditions, perf degradation
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Response: Continue w/ warning, log for later review
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Recovery: Attempt optimization, monitor for escalation
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LOW [1-3]: Info messages, style violations, minor optimizations
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Response: Note in output, continue execution
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Recovery: Background fixes, cleanup on completion
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Error Categories:
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Transient: Network timeouts, temp resource unavailability
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Strategy: Exponential backoff retry, circuit breaker pattern
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Config: Missing env vars, incorrect settings, permissions
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Strategy: Validation, helpful error msgs, setup guidance
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Logic: Code bugs, algorithm errors, edge cases
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Strategy: Fallback implementations, graceful degradation
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Resource: Out of memory, disk space, API rate limits
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Strategy: Resource monitoring, cleanup, queue management
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```
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## Recovery Strategies
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```yaml
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Automatic Recovery:
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Retry Mechanisms:
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Simple: Up to 3 attempts with 1s delay
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Exponential: 1s, 2s, 4s, 8s delays with jitter
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Circuit Breaker: Stop retries after threshold failures
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Fallback Patterns:
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Alternative Commands: Use native tools if MCP fails
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Degraded Functionality: Skip non-essential features
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Cached Results: Use previous successful outputs
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State Management:
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Checkpoints: Save state before risky operations
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Rollback: Automatic revert to last known good state
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Cleanup: Remove partial results on failure
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Manual Recovery:
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User Guidance:
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Clear Error Messages: What failed, why, how to fix
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Action Items: Specific steps user can take
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Documentation Links: Relevant help resources
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Intervention Points:
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Confirmation: Ask before destructive operations
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Override: Allow user to skip validation warnings
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Custom: Accept user-provided alternative approaches
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Recovery Tools:
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Diagnostic: Commands to investigate failures
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Repair: Automated fixes for common issues
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Reset: Return to clean state for fresh start
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```
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## Command-Specific Recovery
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```yaml
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Build Failures:
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Clean & Retry: Remove artifacts, clear cache, rebuild
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Dependency Issues: Update lockfiles, reinstall packages
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Compilation Errors: Suggest fixes, alternative approaches
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Test Failures:
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Flaky Tests: Retry failed tests, identify unstable tests
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Environment Issues: Reset test state, check prerequisites
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Coverage Gaps: Generate missing tests, update thresholds
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Deploy Failures:
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Health Check Failures: Rollback, investigate logs
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Resource Constraints: Scale up, optimize deployment
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Configuration Issues: Validate settings, check secrets
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Analysis Failures:
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Tool Unavailable: Fallback to alternative analysis tools
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Large Codebase: Reduce scope, batch processing
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Permission Issues: Guide user through access setup
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MCP Server Failures:
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Connection Issues: Retry with exponential backoff
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Timeout: Reduce request complexity, use native tools
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Rate Limiting: Queue requests, implement backoff
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Service Unavailable: Fallback to cached results or native tools
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```
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## Error Monitoring & Learning
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```yaml
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Error Tracking:
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Frequency: Count occurrence of specific error types
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Patterns: Identify common failure sequences
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Trends: Monitor error rates over time
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Context: Track environmental factors during failures
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Failure Analysis:
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Root Cause: Automated analysis of failure chains
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Prevention: Suggest preventive measures
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Optimization: Identify improvement opportunities
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Documentation: Update guides based on common issues
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Learning System:
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Success Patterns: Learn from successful recovery strategies
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User Preferences: Remember user's preferred recovery methods
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Environment Adaptation: Adjust strategies based on project context
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Continuous Improvement: Update recovery logic based on outcomes
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```
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## Integration with Commands
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```yaml
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Pre-Execution Validation:
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Prerequisites: Check required tools, permissions, resources
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Environment: Validate configuration, network connectivity
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State: Ensure clean starting state, no conflicts
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During Execution:
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Monitoring: Track progress, resource usage, early warnings
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Checkpointing: Save state at critical milestones
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Health Checks: Validate system state during long operations
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Post-Execution:
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Verification: Confirm expected outcomes achieved
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Cleanup: Remove temporary files, release resources
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Reporting: Document successes, failures, lessons learned
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Error Reporting Format:
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Structured: Consistent error message format across commands
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Actionable: Include specific steps for resolution
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Contextual: Provide relevant system and environment information
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Traceable: Include operation ID for troubleshooting
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```
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## Configuration & Customization
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```yaml
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User Preferences:
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Recovery Style: Conservative (safe) vs Aggressive (fast)
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Retry Limits: Maximum attempts for different error types
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Notification: How and when to alert user of issues
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Automation Level: How much recovery to attempt automatically
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Project Settings:
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Critical Operations: Commands that require extra safety
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Acceptable Risk: Tolerance for failures in development vs production
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Resource Limits: Maximum time, memory, network usage
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Dependencies: Critical external services that must be available
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Environment Adaptation:
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Development: More aggressive retries, helpful error messages
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Staging: Balanced approach, thorough logging
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Production: Conservative recovery, immediate alerting
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CI/CD: Fast failure, detailed diagnostic information
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```
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---
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*Error recovery: Resilient command execution with intelligent failure handling* |