error-handling-patterns
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.
SKILL.md
Full skill instructions
Error Handling Patterns
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.
Use this skill when
- Implementing error handling in new features
- Designing error-resilient APIs
- Debugging production issues
- Improving application reliability
- Creating better error messages for users and developers
- Implementing retry and circuit breaker patterns
- Handling async/concurrent errors
- Building fault-tolerant distributed systems
Do not use this skill when
- The task is unrelated to error handling patterns
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
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AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior Architecture Decision Records (ADRs), trade-off analyses, and system design rationale. Critical for maintaining consistency across long-running projects.
# Check for prior architecture/design context before starting
python3 execution/memory_manager.py auto --query "architecture decisions and trade-off analysis for Error Handling Patterns"
Storing Results
After completing work, store architecture/design decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Architecture: event-driven microservices with CQRS, Pulsar for messaging, Qdrant for semantic search" \
--type decision --project <project> \
--tags error-handling-patterns architecture
Multi-Agent Collaboration
Broadcast architecture decisions to ALL agents so implementation stays aligned with the chosen patterns.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Completed architecture review — ADR documented, trade-offs analyzed, team aligned" \
--project <project>
Control Tower Coordination
Register architecture tasks in the Control Tower so all agents across machines know the current system design and constraints.
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