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https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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d24503ca02
- Migrate all command files to use @include reference system - Consolidate shared patterns into new yml structure - Create central superclaude shared configuration files - Remove deprecated markdown files (MCP.md, PERSONAS.md, RULES.md) - Add new documentation structure in docs/ - Update installation script for new architecture - Add ROADMAP.md and VERSION files This completes the major architectural refactor to improve maintainability and reduce duplication across the SuperClaude command system. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
140 lines
2.9 KiB
Markdown
140 lines
2.9 KiB
Markdown
**Purpose**: Parallel specialized agents
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---
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@include shared/universal-constants.yml#Universal_Legend
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## Command Execution
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Execute: immediate. --plan→show plan first
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Legend: Generated based on symbols used in command
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Purpose: "[Action][Subject] in $ARGUMENTS"
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Spawn specialized sub-agents for focused tasks with parallel execution capabilities.
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@include shared/flag-inheritance.yml#Universal_Always
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Examples:
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- `/spawn --agent researcher "OAuth 2.0 best practices"` - Research then implement
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- `/spawn --mode parallel --agent builder "User auth, Profile API"` - Parallel development
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- `/spawn --mode sequential "Research → Build → Review payment"` - Full cycle workflow
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- `/spawn --mode collaborative --ultrathink "Design microservices"` - Collaborative design
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## Agent Types
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Researcher Agent:
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- Deep dive into topics
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- Compare solutions
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- Analyze trade-offs
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- Find best practices
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- Document findings
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Builder Agent:
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- Generate code
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- Implement features
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- Create tests
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- Build prototypes
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- Integrate systems
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Reviewer Agent:
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- Code quality checks
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- Security analysis
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- Performance review
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- Best practice validation
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- Suggest improvements
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Optimizer Agent:
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- Performance profiling
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- Resource optimization
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- Algorithm improvements
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- Database tuning
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- Cache strategies
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Documenter Agent:
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- API documentation
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- User guides
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- Code comments
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- Architecture docs
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- README files
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## Execution Modes
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Sequential Mode:
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```yaml
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Flow: Agent1 → Agent2 → Agent3
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Use: When tasks depend on each other
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Example: Research → Build → Review
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```
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Parallel Mode:
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```yaml
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Flow: Agent1 | Agent2 | Agent3
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Use: For independent tasks
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Example: Multiple feature builds
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```
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Collaborative Mode:
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```yaml
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Flow: Agents work together
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Use: Complex problems
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Example: System design session
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```
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## Best Practices
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Task Definition:
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- Clear objectives
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- Specific deliverables
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- Success criteria
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- Resource limits
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- Time constraints
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Agent Selection:
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- Match expertise to task
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- Consider dependencies
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- Plan coordination
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- Set boundaries
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- Define handoffs
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Coordination:
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- Clear communication
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- Shared context
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- Progress tracking
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- Result integration
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- Quality control
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## Examples
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```bash
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# Research then implement
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/spawn --agent researcher "OAuth 2.0 best practices"
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/spawn --agent builder "Implement OAuth based on research"
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# Parallel feature development
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/spawn --mode parallel --agent builder "User auth, Profile API, Settings UI"
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# Full cycle with review
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/spawn --mode sequential "Research → Build → Review payment integration"
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# Collaborative system design
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/spawn --mode collaborative --ultrathink "Design microservices architecture"
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```
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## Integration
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Works with:
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- All command flags pass through
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- Inherits persona preferences
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- Shares project context
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- Accumulates findings
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- Coordinates outputs
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## Deliverables
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- Agent execution logs
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- Task completion reports
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- Integrated results
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- Performance metrics
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- Lessons learned
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- Handoff documentation
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@include shared/universal-constants.yml#Standard_Messages_Templates |