kazuki nakai 882a0d8356
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers

## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.

## Changes

### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)

### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/

### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)

### Key Fallback Strategies

**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup

**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl

**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement

## Benefits
-  Zero external dependencies (100% functionality without MCP)
-  Enhanced capabilities when MCPs available (semantic search, freshness)
-  No functionality loss, only reduced search intelligence
-  Transparent degradation (no error messages, automatic fallback)

## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: add PR template and pre-commit config

- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)

NOTE: Execute pre-commit inside Docker container to avoid host pollution:
  docker compose exec workspace uv tool install pre-commit
  docker compose exec workspace pre-commit run --all-files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: update PM Agent context with token efficiency architecture

- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details

* refactor: PM Agent command with progressive loading

- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy

* fix: installer improvements

Update installer logic for better reliability

* docs: add comprehensive development documentation

- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis

* docs: add research documentation

Add LLM agent token efficiency research and analysis

* docs: add suggested commands reference

* docs: add session logs and testing documentation

- Add session analysis logs
- Add testing documentation

* feat: migrate CLI to typer + rich for modern UX

## What Changed

### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation

### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation

### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)

### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD

## Testing

```bash
uv run superclaude --help     # ✓ Works
uv run superclaude doctor     # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```

## Migration Path

-  P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)

## Performance Impact

- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate documentation directories

Merged claudedocs/ into docs/research/ for consistent documentation structure.

Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore

Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* perf: reduce /sc:pm command output from 1652 to 15 lines

- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* perf: split PM Agent into execution workflows and guide

- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed

Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate PM Agent optimization and pending changes

PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file

Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: simplify MCP installer to unified gateway with legacy mode

## Changes

### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
  - Default: uv + claude CLI only
  - Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions

### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer

## Benefits
-  Simpler: 1 gateway vs 9+ individual servers
-  Lighter: No Node.js/npm required (default mode)
-  Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
-  Flexible: --legacy flag for official servers if needed

## Usage
```bash
superclaude install              # Default: airis-mcp-gateway (推奨)
superclaude install --legacy     # Legacy: individual official servers
```

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking

## Changes

### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)

### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
  1. Current token usage from system warnings
  2. Percentage used (e.g., "27% used" for 54K/200K)
  3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions

### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components

## Benefits
-  Clearer component naming (FrameworkDocs vs Core)
-  PM Agent token awareness for efficiency
-  Better visual feedback with status zones

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)

**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation

**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation

**Quality Preservation**:
-  All core functions retained (PDCA, memory, patterns, mistakes)
-  PARALLEL Read/Write preserved (performance critical)
-  Workflow unchanged (session lifecycle intact)
-  Added output constraints (prevents verbose generation)

**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism

**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: consolidate MCP integration to unified gateway

**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach

**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process

**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: update version and component metadata

- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes

🤖 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>
2025-10-17 05:43:06 +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 docs/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