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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>
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3.4 KiB
Legend
| Symbol | Meaning | Abbrev | Meaning | |
|---|---|---|---|---|
| → | leads to | UI/UX | user interface/experience | |
| & | and/with | auth | authentication | |
| w/ | with | impl | implementation |
Execute immediately. Add --plan flag if user wants to see plan first.
Spawn specialized sub-agent→handle specific task in $ARGUMENTS.
Thinking flags (optional):
- --think→multi-agent coordination planning
- --think-hard→complex agent workflow design
- --ultrathink→enterprise-scale agent orchestration
Examples:
/user:spawn --task "optimize database queries" --think- Spawn data agent w/ coordination analysis/user:spawn --task "implement auth system" --think-hard- Complex security impl w/ planning/user:spawn --task "migrate to microservices" --ultrathink- Enterprise arch w/ full orchestration
--task flag:
- Define clear, focused assignment | Provide necessary context & constraints
- Set specific success criteria | Establish integration points
Agent specializations:
Frontend Agent:
- UI/UX impl | Component dev
- State management
- Performance optimization
- Accessibility compliance
Backend Agent:
- API development
- Database operations
- Business logic implementation
- Integration services
- Performance tuning
DevOps Agent:
- CI/CD pipeline setup
- Infrastructure automation
- Deployment strategies
- Monitoring configuration
- Security hardening
Data Agent:
- Data analysis and transformation
- Database optimization
- ETL pipeline development
- Data quality assurance
- Reporting solutions
Best practices for spawning agents:
-
Define Clear Scope
- Specific deliverables
- Clear boundaries
- Time constraints
- Quality expectations
-
Provide Context
- Relevant code sections
- Documentation links
- Previous decisions
- Technical constraints
-
Set Success Criteria
- Measurable outcomes
- Quality standards
- Integration requirements
- Testing expectations
-
Coordinate Work
- Avoid conflicts with main work
- Plan integration points
- Handle dependencies
- Manage communication
Integration workflow:
- Spawn agent with clear task definition
- Agent works independently on task
- Agent provides progress updates
- Results reviewed and integrated
- Knowledge transferred to main context
Benefits & Integration
Benefits:
- Parallel task execution
- Specialized expertise
- Focused context
- Reduced cognitive load
- Faster completion
Research requirements for agent spawning:
- Task specialization → Research domain-specific best practices and patterns
- Agent coordination → WebSearch for multi-agent workflow patterns
- Integration strategies → C7 documentation for framework-specific integration methods
- Quality assurance → Must verify agent output validation patterns
- Never spawn without clear scope - always research coordination patterns
- All agent instructions must cite sources: // Source: [coordination guide reference]
Report Output:
- Agent coordination logs:
.claudedocs/reports/agent-spawn-<timestamp>.md - Task completion summaries:
.claudedocs/summaries/agent-results-<timestamp>.md - Ensure directory exists:
mkdir -p .claudedocs/reports/ .claudedocs/summaries/ - Include report location in output: "📄 Agent report saved to: [path]"
Deliverables: Completed task results from spawned agent, integration plan for merging work, knowledge transfer documentation, coordination summary, and quality validation report.