* 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>
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SuperClaude Commands Guide
SuperClaude provides 25 commands for Claude Code: /sc:* commands for workflows and @agent-* for specialists.
Command Types
| Type | Where Used | Format | Example |
|---|---|---|---|
| Slash Commands | Claude Code | /sc:[command] |
/sc:implement "feature" |
| Agents | Claude Code | @agent-[name] |
@agent-security "review" |
| Installation | Terminal | SuperClaude [command] |
SuperClaude install |
Quick Test
# Terminal: Verify installation
python3 -m SuperClaude --version
# Claude Code CLI verification: claude --version
# Claude Code: Test commands
/sc:brainstorm "test project" # Should ask discovery questions
/sc:analyze README.md # Should provide analysis
Workflow: /sc:brainstorm "idea" → /sc:implement "feature" → /sc:test
🎯 Understanding SuperClaude Commands
How SuperClaude Works
SuperClaude provides behavioral context files that Claude Code reads to adopt specialized behaviors. When you type /sc:implement, Claude Code reads the implement.md context file and follows its behavioral instructions.
SuperClaude commands are NOT executed by software - they are context triggers that modify Claude Code's behavior through reading specialized instruction files from the framework.
Command Types:
- Slash Commands (
/sc:*): Trigger workflow patterns and behavioral modes - Agent Invocations (
@agent-*): Manually activate specific domain specialists - Flags (
--think,--safe-mode): Modify command behavior and depth
The Context Mechanism:
- User Input: You type
/sc:implement "auth system" - Context Loading: Claude Code reads
~/.claude/superclaude/Commands/implement.md - Behavior Adoption: Claude applies domain expertise, tool selection, and validation patterns
- Enhanced Output: Structured implementation with security considerations and best practices
Key Point: This creates sophisticated development workflows through context management rather than traditional software execution.
Installation vs Usage Commands
🖥️ Terminal Commands (Actual CLI software):
SuperClaude install- Installs the framework componentsSuperClaude update- Updates existing installationSuperClaude uninstall- Removes framework installationpython3 -m SuperClaude --version- Check installation status
💬 Claude Code Commands (Context triggers):
/sc:brainstorm- Activates requirements discovery context/sc:implement- Activates feature development context@agent-security- Activates security specialist context- All commands work inside Claude Code chat interface only
Quick Start: Try
/sc:brainstorm "your project idea"→/sc:implement "feature name"→/sc:testto experience the core workflow.
🧪 Testing Your Setup
🖥️ Terminal Verification (Run in Terminal/CMD)
# Verify SuperClaude is working (primary method)
python3 -m SuperClaude --version
# Example output: SuperClaude 4.1.5
# Claude Code CLI version check
claude --version
# Check installed components
python3 -m SuperClaude install --list-components | grep mcp
# Example output: Shows installed MCP components
💬 Claude Code Testing (Type in Claude Code Chat)
# Test basic /sc: command
/sc:brainstorm "test project"
# Example behavior: Interactive requirements discovery starts
# Test command help
/sc:help
# Example behavior: List of available commands
If tests fail: Check Installation Guide or Troubleshooting
📝 Command Quick Reference
| Command Type | Where to Run | Format | Purpose | Example |
|---|---|---|---|---|
| 🖥️ Installation | Terminal/CMD | SuperClaude [command] |
Setup and maintenance | SuperClaude install |
| 🔧 Configuration | Terminal/CMD | python3 -m SuperClaude [command] |
Advanced configuration | python3 -m SuperClaude --version |
| 💬 Slash Commands | Claude Code | /sc:[command] |
Workflow automation | /sc:implement "feature" |
| 🤖 Agent Invocation | Claude Code | @agent-[name] |
Manual specialist activation | @agent-security "review" |
| ⚡ Enhanced Flags | Claude Code | /sc:[command] --flags |
Behavior modification | /sc:analyze --think-hard |
Remember: All
/sc:commands and@agent-invocations work inside Claude Code chat, not your terminal. They trigger Claude Code to read specific context files from the SuperClaude framework.
Table of Contents
- Essential Commands - Start here (8 core commands)
- Common Workflows - Command combinations that work
- Full Command Reference - All 25 commands organized by category
- Troubleshooting - Common issues and solutions
- Command Index - Find commands by category
Essential Commands
Core workflow commands for immediate productivity:
/sc:brainstorm - Project Discovery
Purpose: Interactive requirements discovery and project planning
Syntax: /sc:brainstorm "your idea" [--strategy systematic|creative]
Use Cases:
- New project planning:
/sc:brainstorm "e-commerce platform" - Feature exploration:
/sc:brainstorm "user authentication system" - Problem solving:
/sc:brainstorm "slow database queries"
/sc:help - Command Reference
Purpose: Displays a list of all available /sc commands and their descriptions.
Syntax: /sc:help
Use Cases:
- Discovering available commands:
/sc:help - Getting a quick reminder of command names:
/sc:help
/sc:research - Deep Research Command
Purpose: Comprehensive web research with adaptive planning and intelligent search
Syntax: /sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
Use Cases:
- Technical research:
/sc:research "latest React 19 features" --depth deep - Market analysis:
/sc:research "AI coding assistant landscape 2024" --strategy unified - Academic investigation:
/sc:research "quantum computing breakthroughs" --depth exhaustive - Current events:
/sc:research "latest AI developments 2024"
Key Capabilities:
- 6-Phase Workflow: Understand → Plan → TodoWrite → Execute → Track → Validate
- Adaptive Depth: Quick (basic search), Standard (extended), Deep (comprehensive), Exhaustive (maximum depth)
- Planning Strategies: Planning (direct), Intent (clarify first), Unified (collaborative)
- Parallel Execution: Default parallel searches and extractions
- Evidence Management: Clear citations with relevance scoring
- Output Standards: Reports saved to
claudedocs/research_[topic]_[timestamp].md
/sc:implement - Feature Development
Purpose: Full-stack feature implementation with intelligent specialist routing
Syntax: /sc:implement "feature description" [--type frontend|backend|fullstack] [--focus security|performance]
Use Cases:
- Authentication:
/sc:implement "JWT login system" - UI components:
/sc:implement "responsive dashboard" - APIs:
/sc:implement "REST user endpoints" - Database:
/sc:implement "user schema with relationships"
/sc:analyze - Code Assessment
Purpose: Comprehensive code analysis across quality, security, and performance
Syntax: /sc:analyze [path] [--focus quality|security|performance|architecture]
Use Cases:
- Project health:
/sc:analyze . - Security audit:
/sc:analyze --focus security - Performance review:
/sc:analyze --focus performance
/sc:business-panel - Strategic Business Analysis
Purpose: Multi-expert business strategy analysis with 9 renowned thought leaders
Syntax: /sc:business-panel "content" [--mode discussion|debate|socratic] [--experts "name1,name2"]
Use Cases:
- Strategy evaluation:
/sc:business-panel "our go-to-market strategy" - Competitive analysis:
/sc:business-panel @competitor_analysis.pdf --mode debate - Innovation assessment:
/sc:business-panel "AI product idea" --experts "christensen,drucker" - Strategic learning:
/sc:business-panel "competitive strategy" --mode socratic
Expert Panel: Christensen, Porter, Drucker, Godin, Kim/Mauborgne, Collins, Taleb, Meadows, Doumont
/sc:spec-panel - Expert Specification Review
Purpose: Multi-expert specification review and improvement using renowned specification and software engineering experts
Syntax: /sc:spec-panel [content|@file] [--mode discussion|critique|socratic] [--focus requirements|architecture|testing|compliance]
Use Cases:
- Specification review:
/sc:spec-panel @api_spec.yml --mode critique --focus requirements,architecture - Requirements workshop:
/sc:spec-panel "user story content" --mode discussion - Architecture validation:
/sc:spec-panel @microservice.spec.yml --mode socratic --focus architecture - Compliance review:
/sc:spec-panel @security_requirements.yml --focus compliance - Iterative improvement:
/sc:spec-panel @complex_system.spec.yml --iterations 3
Expert Panel: Wiegers, Adzic, Cockburn, Fowler, Nygard, Newman, Hohpe, Crispin, Gregory, Hightower
/sc:troubleshoot - Problem Diagnosis
Purpose: Systematic issue diagnosis with root cause analysis
Syntax: /sc:troubleshoot "issue description" [--type build|runtime|performance]
Use Cases:
- Runtime errors:
/sc:troubleshoot "500 error on login" - Build failures:
/sc:troubleshoot --type build - Performance problems:
/sc:troubleshoot "slow page load"
/sc:test - Quality Assurance
Purpose: Comprehensive testing with coverage analysis
Syntax: /sc:test [--type unit|integration|e2e] [--coverage] [--fix]
Use Cases:
- Full test suite:
/sc:test --coverage - Unit testing:
/sc:test --type unit --watch - E2E validation:
/sc:test --type e2e
/sc:improve - Code Enhancement
Purpose: Apply systematic code improvements and optimizations
Syntax: /sc:improve [path] [--type performance|quality|security] [--preview]
Use Cases:
- General improvements:
/sc:improve src/ - Performance optimization:
/sc:improve --type performance - Security hardening:
/sc:improve --type security
/sc:document - Documentation Generation
Purpose: Generate comprehensive documentation for code and APIs
Syntax: /sc:document [path] [--type api|user-guide|technical] [--format markdown|html]
Use Cases:
- API docs:
/sc:document --type api - User guides:
/sc:document --type user-guide - Technical docs:
/sc:document --type technical
/sc:workflow - Implementation Planning
Purpose: Generate structured implementation plans from requirements
Syntax: /sc:workflow "feature description" [--strategy agile|waterfall] [--format markdown]
Use Cases:
- Feature planning:
/sc:workflow "user authentication" - Sprint planning:
/sc:workflow --strategy agile - Architecture planning:
/sc:workflow "microservices migration"
Common Workflows
Proven command combinations:
New Project Setup
/sc:brainstorm "project concept" # Define requirements
/sc:design "system architecture" # Create technical design
/sc:workflow "implementation plan" # Generate development roadmap
Feature Development
/sc:implement "feature name" # Build the feature
/sc:test --coverage # Validate with tests
/sc:document --type api # Generate documentation
Code Quality Improvement
/sc:analyze --focus quality # Assess current state
/sc:improve --preview # Preview improvements
/sc:test --coverage # Validate changes
Bug Investigation
/sc:troubleshoot "issue description" # Diagnose the problem
/sc:analyze --focus problem-area # Deep analysis
/sc:improve --fix --safe-mode # Apply targeted fixes
Specification Development
/sc:spec-panel @existing_spec.yml --mode critique # Expert review
/sc:spec-panel @improved_spec.yml --iterations 2 # Iterative refinement
/sc:document --type technical # Generate documentation
Full Command Reference
Development Commands
| Command | Purpose | Best For |
|---|---|---|
| workflow | Implementation planning | Project roadmaps, sprint planning |
| implement | Feature development | Full-stack features, API development |
| build | Project compilation | CI/CD, production builds |
| design | System architecture | API specs, database schemas |
Analysis Commands
| Command | Purpose | Best For |
|---|---|---|
| analyze | Code assessment | Quality audits, security reviews |
| research | Web research with intelligent search | Technical research, current events, market analysis |
| business-panel | Strategic analysis | Business decisions, competitive assessment |
| spec-panel | Specification review | Requirements validation, architecture analysis |
| troubleshoot | Problem diagnosis | Bug investigation, performance issues |
| explain | Code explanation | Learning, code reviews |
Quality Commands
| Command | Purpose | Best For |
|---|---|---|
| improve | Code enhancement | Performance optimization, refactoring |
| cleanup | Technical debt | Dead code removal, organization |
| test | Quality assurance | Test automation, coverage analysis |
| document | Documentation | API docs, user guides |
Project Management
| Command | Purpose | Best For |
|---|---|---|
| estimate | Project estimation | Timeline planning, resource allocation |
| task | Task management | Complex workflows, task tracking |
| spawn | Meta-orchestration | Large-scale projects, parallel execution |
Utility Commands
| Command | Purpose | Best For |
|---|---|---|
| help | List all commands | Discovering available commands |
| git | Version control | Commit management, branch strategies |
| index | Command discovery | Exploring capabilities, finding commands |
Session Commands
| Command | Purpose | Best For |
|---|---|---|
| load | Context loading | Session initialization, project onboarding |
| save | Session persistence | Checkpointing, context preservation |
| reflect | Task validation | Progress assessment, completion validation |
| select-tool | Tool optimization | Performance optimization, tool selection |
Command Index
By Function:
- Planning: brainstorm, design, workflow, estimate
- Development: implement, build, git
- Analysis: analyze, business-panel, spec-panel, troubleshoot, explain
- Quality: improve, cleanup, test, document
- Management: task, spawn, load, save, reflect
- Utility: help, index, select-tool
By Complexity:
- Beginner: brainstorm, implement, analyze, test, help
- Intermediate: workflow, design, business-panel, spec-panel, improve, document
- Advanced: spawn, task, select-tool, reflect
Troubleshooting
Command Issues:
- Command not found: Verify installation:
python3 -m SuperClaude --version - No response: Restart Claude Code session
- Processing delays: Use
--no-mcpto test without MCP servers
Quick Fixes:
- Reset session:
/sc:loadto reinitialize - Check status:
SuperClaude install --list-components - Get help: Troubleshooting Guide
Next Steps
- Flags Guide - Control command behavior
- Agents Guide - Specialist activation
- Examples Cookbook - Real usage patterns