kazuki nakai 050d5ea2ab
refactor: PEP8 compliance - directory rename and code formatting (#425)
* 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>
2025-10-14 08:47:09 +05:30

16 KiB

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:

  1. User Input: You type /sc:implement "auth system"
  2. Context Loading: Claude Code reads ~/.claude/superclaude/Commands/implement.md
  3. Behavior Adoption: Claude applies domain expertise, tool selection, and validation patterns
  4. 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 components
  • SuperClaude update - Updates existing installation
  • SuperClaude uninstall - Removes framework installation
  • python3 -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:test to 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

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-mcp to test without MCP servers

Quick Fixes:

  • Reset session: /sc:load to reinitialize
  • Check status: SuperClaude install --list-components
  • Get help: Troubleshooting Guide

Next Steps