mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-17 17:56:46 +00:00
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
319 lines
8.2 KiB
Markdown
319 lines
8.2 KiB
Markdown
# SuperClaude Integration Patterns Collection
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**Status**: ✅ **Status: Current** - Context patterns for framework integration and tool coordination.
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**Context Integration Guide**: Patterns for using SuperClaude commands effectively with different frameworks and tools. Remember: SuperClaude provides context to Claude Code - all actual work is done by Claude.
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## Overview and Usage Guide
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**Purpose**: Effective patterns for using SuperClaude context with various development frameworks and tools.
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**What This Is**: Command combinations and flag patterns that work well for specific technologies
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**What This Isn't**: Performance optimization or parallel execution (no code runs)
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**Key Principle**: SuperClaude tells Claude Code WHAT to do and HOW to think about it. Claude Code does the actual work.
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## Framework Context Patterns
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### React Development Patterns
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```bash
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# React development with appropriate context
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/sc:implement "React 18 application with TypeScript" --c7
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# Context7 MCP can provide React documentation if available
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# Magic MCP can help with UI components if configured
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# What Actually Happens:
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# 1. Claude reads implement.md for implementation patterns
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# 2. --c7 flag suggests using Context7 MCP for documentation
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# 3. Claude generates React code based on these contexts
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# Component development pattern
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@agent-frontend-architect "design component architecture"
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/sc:implement "reusable component library"
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# Testing pattern for React
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/sc:test --focus react
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# Claude will suggest React Testing Library patterns
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```
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### Node.js Backend Patterns
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```bash
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# Node.js backend development patterns
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/sc:implement "Express.js API with TypeScript" --c7
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# Claude will create Express API following Node.js patterns
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# What This Means:
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# - Claude reads context about backend patterns
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# - Suggests appropriate middleware and structure
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# - NOT running or optimizing any code
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# Database integration pattern
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/sc:implement "database models with Prisma"
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@agent-backend-architect "review database schema"
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# API testing pattern
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/sc:test --focus api
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# Claude suggests API testing approaches
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```
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### Python Development Patterns
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```bash
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# Python web development
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/sc:implement "FastAPI application" --c7
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@agent-python-expert "review implementation"
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# What Happens:
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# - Claude uses Python-specific context
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# - Follows FastAPI patterns from context
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# - Generates code (doesn't run it)
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# Data science context
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/sc:implement "data analysis pipeline"
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@agent-python-expert "optimize pandas operations"
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# Claude provides optimization suggestions (not actual optimization)
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# Testing patterns
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/sc:test --focus python
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# Claude suggests pytest patterns
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```
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### Full-Stack Development Patterns
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```bash
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# Full-stack application pattern
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/sc:brainstorm "full-stack application architecture"
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@agent-system-architect "design system components"
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# Frontend implementation
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/sc:implement "React frontend with TypeScript"
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@agent-frontend-architect "review component structure"
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# Backend implementation
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/sc:implement "Node.js API with authentication"
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@agent-backend-architect "review API design"
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# Integration
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/sc:implement "connect frontend to backend API"
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```
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## Tool Coordination Patterns
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### Using MCP Servers Effectively
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```bash
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# Context7 for documentation
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/sc:explain "React hooks" --c7
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# If Context7 is configured, it may fetch React docs
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# Sequential for complex reasoning
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/sc:troubleshoot "complex bug" --seq
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# Sequential MCP helps with structured problem-solving
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# Magic for UI components
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/sc:implement "UI components" --magic
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# Magic MCP can help generate modern UI patterns
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# No MCP for simple tasks
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/sc:implement "utility function" --no-mcp
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# Uses only Claude's built-in knowledge
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```
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### Agent and Command Combinations
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```bash
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# Security-focused development
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@agent-security "review authentication requirements"
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/sc:implement "secure authentication system"
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/sc:analyze --focus security
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# Quality-focused workflow
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/sc:implement "new feature"
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@agent-quality-engineer "review code quality"
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/sc:test --focus quality
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# Architecture-focused approach
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@agent-system-architect "design microservices"
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/sc:design "service boundaries"
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/sc:implement "service communication"
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```
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## Common Integration Patterns
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### API Development Pattern
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```bash
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# Step 1: Design
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/sc:design "REST API structure"
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# Step 2: Implementation
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/sc:implement "API endpoints with validation"
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# Step 3: Documentation
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/sc:document --type api
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# Step 4: Testing
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/sc:test --focus api
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```
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### Database Integration Pattern
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```bash
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# Schema design
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@agent-backend-architect "design database schema"
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# Model implementation
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/sc:implement "database models"
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# Migration creation
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/sc:implement "database migrations"
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# Query optimization suggestions
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@agent-backend-architect "suggest query optimizations"
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# Note: Claude suggests optimizations, doesn't actually optimize
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```
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### Testing Strategy Pattern
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```bash
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# Test planning
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/sc:design "testing strategy"
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# Unit tests
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/sc:test --type unit
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# Integration tests
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/sc:test --type integration
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# E2E test suggestions
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/sc:test --type e2e
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# Claude provides test code, not execution
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```
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## Technology-Specific Patterns
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### React + TypeScript Pattern
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```bash
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# Project setup guidance
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/sc:implement "React TypeScript project structure"
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# Component development
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/sc:implement "TypeScript React components with props validation"
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# State management
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@agent-frontend-architect "recommend state management approach"
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/sc:implement "state management with Zustand/Redux"
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# Testing
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/sc:test --focus react --type unit
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```
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### Python FastAPI Pattern
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```bash
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# API structure
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/sc:implement "FastAPI project structure"
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# Endpoint development
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@agent-python-expert "implement async endpoints"
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# Database integration
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/sc:implement "SQLAlchemy models with Alembic"
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# Testing
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/sc:test --focus python --type integration
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```
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### Node.js Microservices Pattern
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```bash
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# Architecture design
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@agent-system-architect "design microservices architecture"
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# Service implementation
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/sc:implement "user service with Express"
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/sc:implement "auth service with JWT"
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# Inter-service communication
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/sc:implement "service communication patterns"
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# Testing approach
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/sc:test --focus microservices
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```
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## Troubleshooting Patterns
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### Debugging Workflow
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```bash
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# Problem analysis
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/sc:troubleshoot "describe the issue"
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# Root cause investigation
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@agent-root-cause-analyst "analyze symptoms"
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# Solution implementation
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/sc:implement "fix based on analysis"
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# Verification
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/sc:test --validate
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```
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### Code Review Pattern
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```bash
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# Code analysis
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/sc:analyze code/ --focus quality
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# Security review
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@agent-security "review for vulnerabilities"
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# Performance review
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@agent-performance-engineer "suggest improvements"
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# Note: Suggestions only, no actual performance measurement
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# Implementation of improvements
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/sc:improve code/ --fix
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```
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## Important Clarifications
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### What These Patterns DO
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- ✅ Provide structured approaches to development tasks
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- ✅ Combine commands and agents effectively
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- ✅ Suggest appropriate tools and frameworks
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- ✅ Guide Claude to generate better code
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### What These Patterns DON'T DO
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- ❌ Execute code or measure performance
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- ❌ Run tests or deploy applications
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- ❌ Optimize actual execution speed
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- ❌ Provide real monitoring or metrics
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- ❌ Coordinate parallel processes (everything is sequential text)
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## Best Practices
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### Effective Pattern Usage
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1. **Start with context**: Use `/sc:load` to establish project understanding
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2. **Layer expertise**: Combine general commands with specific agents
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3. **Focus appropriately**: Use `--focus` flags for targeted results
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4. **Manage scope**: Work on specific modules rather than entire codebases
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5. **Document decisions**: Use `/sc:save` to create summaries
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### Pattern Selection
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- **Simple tasks**: Use basic commands without MCP
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- **Complex tasks**: Add appropriate agents and MCP servers
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- **Security-critical**: Always include `@agent-security`
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- **UI development**: Consider `--magic` flag if configured
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- **Documentation needs**: Use `--c7` for framework docs
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## Summary
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These integration patterns show how to combine SuperClaude commands, agents, and flags effectively for different development scenarios. Remember that all patterns are about providing better context to Claude Code - the actual code generation, not execution, is what Claude does based on these contexts. |