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Go Concurrency Patterns

go-concurrency-patterns

Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.

techwavedev/agi-agent-kit0installs4stars

SKILL.md

Full skill instructions

Go Concurrency Patterns

Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management.

Use this skill when

  • Building concurrent Go applications
  • Implementing worker pools and pipelines
  • Managing goroutine lifecycles
  • Using channels for communication
  • Debugging race conditions
  • Implementing graceful shutdown

Do not use this skill when

  • The task is unrelated to go concurrency 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.md for 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 Go Concurrency 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 go-concurrency-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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