Initial commit: SuperClaude v4.0.0 configuration framework

- 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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## 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:
1. Define Clear Scope
- Specific deliverables
- Clear boundaries
- Time constraints
- Quality expectations
2. Provide Context
- Relevant code sections
- Documentation links
- Previous decisions
- Technical constraints
3. Set Success Criteria
- Measurable outcomes
- Quality standards
- Integration requirements
- Testing expectations
4. Coordinate Work
- Avoid conflicts with main work
- Plan integration points
- Handle dependencies
- Manage communication
Integration workflow:
1. Spawn agent with clear task definition
2. Agent works independently on task
3. Agent provides progress updates
4. Results reviewed and integrated
5. 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.