* 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>
8.2 KiB
SuperClaude Integration Patterns Collection
Status: ✅ Status: Current - Context patterns for framework integration and tool coordination.
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.
Overview and Usage Guide
Purpose: Effective patterns for using SuperClaude context with various development frameworks and tools.
What This Is: Command combinations and flag patterns that work well for specific technologies What This Isn't: Performance optimization or parallel execution (no code runs)
Key Principle: SuperClaude tells Claude Code WHAT to do and HOW to think about it. Claude Code does the actual work.
Framework Context Patterns
React Development Patterns
# React development with appropriate context
/sc:implement "React 18 application with TypeScript" --c7
# Context7 MCP can provide React documentation if available
# Magic MCP can help with UI components if configured
# What Actually Happens:
# 1. Claude reads implement.md for implementation patterns
# 2. --c7 flag suggests using Context7 MCP for documentation
# 3. Claude generates React code based on these contexts
# Component development pattern
@agent-frontend-architect "design component architecture"
/sc:implement "reusable component library"
# Testing pattern for React
/sc:test --focus react
# Claude will suggest React Testing Library patterns
Node.js Backend Patterns
# Node.js backend development patterns
/sc:implement "Express.js API with TypeScript" --c7
# Claude will create Express API following Node.js patterns
# What This Means:
# - Claude reads context about backend patterns
# - Suggests appropriate middleware and structure
# - NOT running or optimizing any code
# Database integration pattern
/sc:implement "database models with Prisma"
@agent-backend-architect "review database schema"
# API testing pattern
/sc:test --focus api
# Claude suggests API testing approaches
Python Development Patterns
# Python web development
/sc:implement "FastAPI application" --c7
@agent-python-expert "review implementation"
# What Happens:
# - Claude uses Python-specific context
# - Follows FastAPI patterns from context
# - Generates code (doesn't run it)
# Data science context
/sc:implement "data analysis pipeline"
@agent-python-expert "optimize pandas operations"
# Claude provides optimization suggestions (not actual optimization)
# Testing patterns
/sc:test --focus python
# Claude suggests pytest patterns
Full-Stack Development Patterns
# Full-stack application pattern
/sc:brainstorm "full-stack application architecture"
@agent-system-architect "design system components"
# Frontend implementation
/sc:implement "React frontend with TypeScript"
@agent-frontend-architect "review component structure"
# Backend implementation
/sc:implement "Node.js API with authentication"
@agent-backend-architect "review API design"
# Integration
/sc:implement "connect frontend to backend API"
Tool Coordination Patterns
Using MCP Servers Effectively
# Context7 for documentation
/sc:explain "React hooks" --c7
# If Context7 is configured, it may fetch React docs
# Sequential for complex reasoning
/sc:troubleshoot "complex bug" --seq
# Sequential MCP helps with structured problem-solving
# Magic for UI components
/sc:implement "UI components" --magic
# Magic MCP can help generate modern UI patterns
# No MCP for simple tasks
/sc:implement "utility function" --no-mcp
# Uses only Claude's built-in knowledge
Agent and Command Combinations
# Security-focused development
@agent-security "review authentication requirements"
/sc:implement "secure authentication system"
/sc:analyze --focus security
# Quality-focused workflow
/sc:implement "new feature"
@agent-quality-engineer "review code quality"
/sc:test --focus quality
# Architecture-focused approach
@agent-system-architect "design microservices"
/sc:design "service boundaries"
/sc:implement "service communication"
Common Integration Patterns
API Development Pattern
# Step 1: Design
/sc:design "REST API structure"
# Step 2: Implementation
/sc:implement "API endpoints with validation"
# Step 3: Documentation
/sc:document --type api
# Step 4: Testing
/sc:test --focus api
Database Integration Pattern
# Schema design
@agent-backend-architect "design database schema"
# Model implementation
/sc:implement "database models"
# Migration creation
/sc:implement "database migrations"
# Query optimization suggestions
@agent-backend-architect "suggest query optimizations"
# Note: Claude suggests optimizations, doesn't actually optimize
Testing Strategy Pattern
# Test planning
/sc:design "testing strategy"
# Unit tests
/sc:test --type unit
# Integration tests
/sc:test --type integration
# E2E test suggestions
/sc:test --type e2e
# Claude provides test code, not execution
Technology-Specific Patterns
React + TypeScript Pattern
# Project setup guidance
/sc:implement "React TypeScript project structure"
# Component development
/sc:implement "TypeScript React components with props validation"
# State management
@agent-frontend-architect "recommend state management approach"
/sc:implement "state management with Zustand/Redux"
# Testing
/sc:test --focus react --type unit
Python FastAPI Pattern
# API structure
/sc:implement "FastAPI project structure"
# Endpoint development
@agent-python-expert "implement async endpoints"
# Database integration
/sc:implement "SQLAlchemy models with Alembic"
# Testing
/sc:test --focus python --type integration
Node.js Microservices Pattern
# Architecture design
@agent-system-architect "design microservices architecture"
# Service implementation
/sc:implement "user service with Express"
/sc:implement "auth service with JWT"
# Inter-service communication
/sc:implement "service communication patterns"
# Testing approach
/sc:test --focus microservices
Troubleshooting Patterns
Debugging Workflow
# Problem analysis
/sc:troubleshoot "describe the issue"
# Root cause investigation
@agent-root-cause-analyst "analyze symptoms"
# Solution implementation
/sc:implement "fix based on analysis"
# Verification
/sc:test --validate
Code Review Pattern
# Code analysis
/sc:analyze code/ --focus quality
# Security review
@agent-security "review for vulnerabilities"
# Performance review
@agent-performance-engineer "suggest improvements"
# Note: Suggestions only, no actual performance measurement
# Implementation of improvements
/sc:improve code/ --fix
Important Clarifications
What These Patterns DO
- ✅ Provide structured approaches to development tasks
- ✅ Combine commands and agents effectively
- ✅ Suggest appropriate tools and frameworks
- ✅ Guide Claude to generate better code
What These Patterns DON'T DO
- ❌ Execute code or measure performance
- ❌ Run tests or deploy applications
- ❌ Optimize actual execution speed
- ❌ Provide real monitoring or metrics
- ❌ Coordinate parallel processes (everything is sequential text)
Best Practices
Effective Pattern Usage
- Start with context: Use
/sc:loadto establish project understanding - Layer expertise: Combine general commands with specific agents
- Focus appropriately: Use
--focusflags for targeted results - Manage scope: Work on specific modules rather than entire codebases
- Document decisions: Use
/sc:saveto create summaries
Pattern Selection
- Simple tasks: Use basic commands without MCP
- Complex tasks: Add appropriate agents and MCP servers
- Security-critical: Always include
@agent-security - UI development: Consider
--magicflag if configured - Documentation needs: Use
--c7for framework docs
Summary
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.