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# SuperClaude Commands Guide
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SuperClaude provides 25 commands for Claude Code: `/sc:*` commands for workflows and `@agent-*` for specialists.
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## Command Types
| Type | Where Used | Format | Example |
|------|------------|--------|---------|
| **Slash Commands** | Claude Code | `/sc:[command]` | `/sc:implement "feature"` |
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| **Agents** | Claude Code | `@agent-[name]` | `@agent-security "review"` |
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| **Installation** | Terminal | `SuperClaude [command]` | `SuperClaude install` |
## Quick Test
```bash
# Terminal: Verify installation
python3 -m SuperClaude --version
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# Claude Code CLI verification: claude --version
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# 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
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- **Agent Invocations** (`@agent-*` ): Manually activate specific domain specialists
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- **Flags** (`--think` , `--safe-mode` ): Modify command behavior and depth
### The Context Mechanism:
1. **User Input** : You type `/sc:implement "auth system"`
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 12:17:09 +09:00
2. **Context Loading** : Claude Code reads `~/.claude/superclaude/Commands/implement.md`
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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
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- `@agent-security` - Activates security specialist context
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- All commands work inside Claude Code chat interface only
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> **Quick Start**: Try `/sc:brainstorm "your project idea"` → `/sc:implement "feature name"` → `/sc:test` to experience the core workflow.
## 🧪 Testing Your Setup
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### 🖥️ Terminal Verification (Run in Terminal/CMD)
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```bash
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# Verify SuperClaude is working (primary method)
python3 -m SuperClaude --version
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# Example output: SuperClaude 4.1.5
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# Claude Code CLI version check
claude --version
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# Check installed components
python3 -m SuperClaude install --list-components | grep mcp
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# Example output: Shows installed MCP components
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```
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### 💬 Claude Code Testing (Type in Claude Code Chat)
```
# Test basic /sc: command
/sc:brainstorm "test project"
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# Example behavior: Interactive requirements discovery starts
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# Test command help
/sc:help
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# Example behavior: List of available commands
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```
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**If tests fail**: Check [Installation Guide ](../getting-started/installation.md ) or [Troubleshooting ](#troubleshooting )
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### 📝 Command Quick Reference
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| 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"` |
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| ** 🤖 Agent Invocation** | Claude Code | `@agent-[name]` | Manual specialist activation | `@agent-security "review"` |
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| ** ⚡ Enhanced Flags** | Claude Code | `/sc:[command] --flags` | Behavior modification | `/sc:analyze --think-hard` |
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> **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.
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## Table of Contents
- [Essential Commands ](#essential-commands ) - Start here (8 core commands)
- [Common Workflows ](#common-workflows ) - Command combinations that work
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- [Full Command Reference ](#full-command-reference ) - All 25 commands organized by category
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- [Troubleshooting ](#troubleshooting ) - Common issues and solutions
- [Command Index ](#command-index ) - Find commands by category
---
## Essential Commands
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**Core workflow commands for immediate productivity:**
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### `/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"`
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### `/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`
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### `/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`
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### `/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**:
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- 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"`
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### `/sc:analyze` - Code Assessment
**Purpose**: Comprehensive code analysis across quality, security, and performance
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**Syntax**: `/sc:analyze [path]` `[--focus quality|security|performance|architecture]`
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**Use Cases**:
- Project health: `/sc:analyze .`
- Security audit: `/sc:analyze --focus security`
- Performance review: `/sc:analyze --focus performance`
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feat: Add comprehensive business panel analysis system (#323)
* feat: Add comprehensive business panel analysis system
Implements /sc:business-panel command with 9 expert personas (Christensen, Porter, Drucker, Godin, Kim/Mauborgne, Collins, Taleb, Meadows, Doumont), three-phase adaptive methodology (Discussion/Debate/Socratic), intelligent mode selection, and cross-framework synthesis with business-specific symbol system.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: sarosh.quraishi@gmail.com
* docs: Update README and commands guide for business panel feature
- Update command count from 21 to 22 across all documentation
- Add Business Panel to behavioral modes (5 → 6 modes)
- Add /sc:business-panel to commands guide with full documentation
- Include expert panel details and usage examples
- Update command index and complexity classification
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: sarosh.quraishi@gmail.com
2025-08-29 14:25:34 +02:00
### `/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
added spec-panel, which transforms the project specs though the lens … (#346)
Introduces a multi-expert specification review and improvement system
powered by renowned software engineering and specification experts. This
command transforms technical specifications through the lens of industry
experts, providing actionable feedback and systematic improvement
recommendations.
🎯 Key Features
Expert Panel System
- 10 Industry Experts: Karl Wiegers, Gojko Adzic, Alistair Cockburn,
Martin Fowler, Michael Nygard, Sam Newman, Gregor Hohpe, Lisa Crispin,
Janet Gregory, and Kelsey Hightower
- Domain Specialization: Requirements engineering, architecture,
testing,
compliance, and cloud-native patterns
- Authentic Methodologies: Each expert applies their real-world
frameworks and critique styles
Analysis Modes
- Discussion Mode: Collaborative improvement through expert dialogue
- Critique Mode: Systematic review with prioritized recommendations
- Socratic Mode: Learning-focused questioning for deeper understanding
Focus Areas
- Requirements: Clarity, completeness, testability validation
- Architecture: Interface design, scalability, maintainability analysis
- Testing: Quality attributes, coverage, edge case identification
- Compliance: Regulatory requirements, security, operational excellence
🔧 Technical Implementation
Command Structure
/sc:spec-panel [content|@file] [--mode discussion|critique|socratic]
[--focus area] [--iterations N]
MCP Integration
- Sequential MCP: Expert panel coordination and structured analysis
- Context7 MCP: Industry patterns and best practices
- Persona System: Technical Writer, System Architect, Quality Engineer
activation
Quality Metrics
- Clarity Score (0-10): Language precision and understandability
- Completeness Score (0-10): Coverage of essential elements
- Testability Score (0-10): Measurability and validation capability
- Consistency Score (0-10): Internal coherence assessment
📊 Output Examples
Expert Critique Format
KARL WIEGERS - Requirements Engineering:
❌ CRITICAL: Password complexity requirements not specified
📝 RECOMMENDATION: Add requirement "System SHALL enforce password
complexity: minimum 8 characters, mixed case, numbers"
🎯 PRIORITY: High - Security vulnerability without standards
📊 QUALITY IMPACT: +35% security compliance, +20% completeness
Improvement Roadmap
- Immediate: Critical security and clarity issues
- Short-term: Architecture refinements and testing strategies
- Long-term: Evolution planning and advanced optimizations
🚀 Integration Patterns
Workflow
1. Generate specification using
https://github.com/github/spec-kit/blob/main/spec-driven.md
2. Review and improve with expert panel
3. Iterative refinement based on feedback
CI/CD Integration
- Specification validation in development workflow
- Quality gate enforcement with automated checks
- Version control integration for evolution tracking
📈 Quality Impact
Based on an example review:
- Security Completeness: +35% improvement
- Requirements Clarity: +14% improvement
- Testability Score: +19% improvement
- Production Readiness: +47% improvement
- Overall Quality: +24% improvement
🎓 Learning Features
Educational Value
- Socratic questioning mode for skill development
- Expert methodology exposure and learning
- Progressive specification writing guidance
- Best practice pattern recognition
Mentoring Integration
- Step-by-step improvement guidance
- Industry standard alignment
- Professional specification writing techniques
🔗 Files Changed
- SuperClaude/Commands/spec-panel.md - Complete command specification
🧪 Testing
Includes comprehensive examples:
- API specification review with security focus
- Requirements workshop with collaborative analysis
- Architecture validation with socratic questioning
- Multi-iteration improvement workflows
This feature significantly enhances SuperClaude's specification analysis
capabilities, providing professional-grade review and improvement
guidance through authentic expert perspectives and proven methodologies.
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### `/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
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### `/sc:troubleshoot` - Problem Diagnosis
**Purpose**: Systematic issue diagnosis with root cause analysis
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**Syntax**: `/sc:troubleshoot "issue description"` `[--type build|runtime|performance]`
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**Use Cases**:
- Runtime errors: `/sc:troubleshoot "500 error on login"`
- Build failures: `/sc:troubleshoot --type build`
- Performance problems: `/sc:troubleshoot "slow page load"`
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### `/sc:test` - Quality Assurance
**Purpose**: Comprehensive testing with coverage analysis
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**Syntax**: `/sc:test` `[--type unit|integration|e2e] [--coverage] [--fix]`
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**Use Cases**:
- Full test suite: `/sc:test --coverage`
- Unit testing: `/sc:test --type unit --watch`
- E2E validation: `/sc:test --type e2e`
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### `/sc:improve` - Code Enhancement
**Purpose**: Apply systematic code improvements and optimizations
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**Syntax**: `/sc:improve [path]` `[--type performance|quality|security] [--preview]`
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**Use Cases**:
- General improvements: `/sc:improve src/`
- Performance optimization: `/sc:improve --type performance`
- Security hardening: `/sc:improve --type security`
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### `/sc:document` - Documentation Generation
**Purpose**: Generate comprehensive documentation for code and APIs
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**Syntax**: `/sc:document [path]` `[--type api|user-guide|technical] [--format markdown|html]`
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**Use Cases**:
- API docs: `/sc:document --type api`
- User guides: `/sc:document --type user-guide`
- Technical docs: `/sc:document --type technical`
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### `/sc:workflow` - Implementation Planning
**Purpose**: Generate structured implementation plans from requirements
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**Syntax**: `/sc:workflow "feature description"` `[--strategy agile|waterfall] [--format markdown]`
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**Use Cases**:
- Feature planning: `/sc:workflow "user authentication"`
- Sprint planning: `/sc:workflow --strategy agile`
- Architecture planning: `/sc:workflow "microservices migration"`
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---
## Common Workflows
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**Proven command combinations:**
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### New Project Setup
```bash
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/sc:brainstorm "project concept" # Define requirements
/sc:design "system architecture" # Create technical design
/sc:workflow "implementation plan" # Generate development roadmap
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```
### Feature Development
```bash
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/sc:implement "feature name" # Build the feature
/sc:test --coverage # Validate with tests
/sc:document --type api # Generate documentation
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```
### Code Quality Improvement
```bash
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/sc:analyze --focus quality # Assess current state
/sc:improve --preview # Preview improvements
/sc:test --coverage # Validate changes
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```
### Bug Investigation
```bash
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/sc:troubleshoot "issue description" # Diagnose the problem
/sc:analyze --focus problem-area # Deep analysis
/sc:improve --fix --safe-mode # Apply targeted fixes
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```
added spec-panel, which transforms the project specs though the lens … (#346)
Introduces a multi-expert specification review and improvement system
powered by renowned software engineering and specification experts. This
command transforms technical specifications through the lens of industry
experts, providing actionable feedback and systematic improvement
recommendations.
🎯 Key Features
Expert Panel System
- 10 Industry Experts: Karl Wiegers, Gojko Adzic, Alistair Cockburn,
Martin Fowler, Michael Nygard, Sam Newman, Gregor Hohpe, Lisa Crispin,
Janet Gregory, and Kelsey Hightower
- Domain Specialization: Requirements engineering, architecture,
testing,
compliance, and cloud-native patterns
- Authentic Methodologies: Each expert applies their real-world
frameworks and critique styles
Analysis Modes
- Discussion Mode: Collaborative improvement through expert dialogue
- Critique Mode: Systematic review with prioritized recommendations
- Socratic Mode: Learning-focused questioning for deeper understanding
Focus Areas
- Requirements: Clarity, completeness, testability validation
- Architecture: Interface design, scalability, maintainability analysis
- Testing: Quality attributes, coverage, edge case identification
- Compliance: Regulatory requirements, security, operational excellence
🔧 Technical Implementation
Command Structure
/sc:spec-panel [content|@file] [--mode discussion|critique|socratic]
[--focus area] [--iterations N]
MCP Integration
- Sequential MCP: Expert panel coordination and structured analysis
- Context7 MCP: Industry patterns and best practices
- Persona System: Technical Writer, System Architect, Quality Engineer
activation
Quality Metrics
- Clarity Score (0-10): Language precision and understandability
- Completeness Score (0-10): Coverage of essential elements
- Testability Score (0-10): Measurability and validation capability
- Consistency Score (0-10): Internal coherence assessment
📊 Output Examples
Expert Critique Format
KARL WIEGERS - Requirements Engineering:
❌ CRITICAL: Password complexity requirements not specified
📝 RECOMMENDATION: Add requirement "System SHALL enforce password
complexity: minimum 8 characters, mixed case, numbers"
🎯 PRIORITY: High - Security vulnerability without standards
📊 QUALITY IMPACT: +35% security compliance, +20% completeness
Improvement Roadmap
- Immediate: Critical security and clarity issues
- Short-term: Architecture refinements and testing strategies
- Long-term: Evolution planning and advanced optimizations
🚀 Integration Patterns
Workflow
1. Generate specification using
https://github.com/github/spec-kit/blob/main/spec-driven.md
2. Review and improve with expert panel
3. Iterative refinement based on feedback
CI/CD Integration
- Specification validation in development workflow
- Quality gate enforcement with automated checks
- Version control integration for evolution tracking
📈 Quality Impact
Based on an example review:
- Security Completeness: +35% improvement
- Requirements Clarity: +14% improvement
- Testability Score: +19% improvement
- Production Readiness: +47% improvement
- Overall Quality: +24% improvement
🎓 Learning Features
Educational Value
- Socratic questioning mode for skill development
- Expert methodology exposure and learning
- Progressive specification writing guidance
- Best practice pattern recognition
Mentoring Integration
- Step-by-step improvement guidance
- Industry standard alignment
- Professional specification writing techniques
🔗 Files Changed
- SuperClaude/Commands/spec-panel.md - Complete command specification
🧪 Testing
Includes comprehensive examples:
- API specification review with security focus
- Requirements workshop with collaborative analysis
- Architecture validation with socratic questioning
- Multi-iteration improvement workflows
This feature significantly enhances SuperClaude's specification analysis
capabilities, providing professional-grade review and improvement
guidance through authentic expert perspectives and proven methodologies.
2025-09-09 17:01:56 +02:00
### Specification Development
```bash
/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
```
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## Full Command Reference
### Development Commands
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| 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 |
2025-09-21 04:54:42 +03:00
| **research** | Web research with intelligent search | Technical research, current events, market analysis |
feat: Add comprehensive business panel analysis system (#323)
* feat: Add comprehensive business panel analysis system
Implements /sc:business-panel command with 9 expert personas (Christensen, Porter, Drucker, Godin, Kim/Mauborgne, Collins, Taleb, Meadows, Doumont), three-phase adaptive methodology (Discussion/Debate/Socratic), intelligent mode selection, and cross-framework synthesis with business-specific symbol system.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: sarosh.quraishi@gmail.com
* docs: Update README and commands guide for business panel feature
- Update command count from 21 to 22 across all documentation
- Add Business Panel to behavioral modes (5 → 6 modes)
- Add /sc:business-panel to commands guide with full documentation
- Include expert panel details and usage examples
- Update command index and complexity classification
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: sarosh.quraishi@gmail.com
2025-08-29 14:25:34 +02:00
| **business-panel** | Strategic analysis | Business decisions, competitive assessment |
added spec-panel, which transforms the project specs though the lens … (#346)
Introduces a multi-expert specification review and improvement system
powered by renowned software engineering and specification experts. This
command transforms technical specifications through the lens of industry
experts, providing actionable feedback and systematic improvement
recommendations.
🎯 Key Features
Expert Panel System
- 10 Industry Experts: Karl Wiegers, Gojko Adzic, Alistair Cockburn,
Martin Fowler, Michael Nygard, Sam Newman, Gregor Hohpe, Lisa Crispin,
Janet Gregory, and Kelsey Hightower
- Domain Specialization: Requirements engineering, architecture,
testing,
compliance, and cloud-native patterns
- Authentic Methodologies: Each expert applies their real-world
frameworks and critique styles
Analysis Modes
- Discussion Mode: Collaborative improvement through expert dialogue
- Critique Mode: Systematic review with prioritized recommendations
- Socratic Mode: Learning-focused questioning for deeper understanding
Focus Areas
- Requirements: Clarity, completeness, testability validation
- Architecture: Interface design, scalability, maintainability analysis
- Testing: Quality attributes, coverage, edge case identification
- Compliance: Regulatory requirements, security, operational excellence
🔧 Technical Implementation
Command Structure
/sc:spec-panel [content|@file] [--mode discussion|critique|socratic]
[--focus area] [--iterations N]
MCP Integration
- Sequential MCP: Expert panel coordination and structured analysis
- Context7 MCP: Industry patterns and best practices
- Persona System: Technical Writer, System Architect, Quality Engineer
activation
Quality Metrics
- Clarity Score (0-10): Language precision and understandability
- Completeness Score (0-10): Coverage of essential elements
- Testability Score (0-10): Measurability and validation capability
- Consistency Score (0-10): Internal coherence assessment
📊 Output Examples
Expert Critique Format
KARL WIEGERS - Requirements Engineering:
❌ CRITICAL: Password complexity requirements not specified
📝 RECOMMENDATION: Add requirement "System SHALL enforce password
complexity: minimum 8 characters, mixed case, numbers"
🎯 PRIORITY: High - Security vulnerability without standards
📊 QUALITY IMPACT: +35% security compliance, +20% completeness
Improvement Roadmap
- Immediate: Critical security and clarity issues
- Short-term: Architecture refinements and testing strategies
- Long-term: Evolution planning and advanced optimizations
🚀 Integration Patterns
Workflow
1. Generate specification using
https://github.com/github/spec-kit/blob/main/spec-driven.md
2. Review and improve with expert panel
3. Iterative refinement based on feedback
CI/CD Integration
- Specification validation in development workflow
- Quality gate enforcement with automated checks
- Version control integration for evolution tracking
📈 Quality Impact
Based on an example review:
- Security Completeness: +35% improvement
- Requirements Clarity: +14% improvement
- Testability Score: +19% improvement
- Production Readiness: +47% improvement
- Overall Quality: +24% improvement
🎓 Learning Features
Educational Value
- Socratic questioning mode for skill development
- Expert methodology exposure and learning
- Progressive specification writing guidance
- Best practice pattern recognition
Mentoring Integration
- Step-by-step improvement guidance
- Industry standard alignment
- Professional specification writing techniques
🔗 Files Changed
- SuperClaude/Commands/spec-panel.md - Complete command specification
🧪 Testing
Includes comprehensive examples:
- API specification review with security focus
- Requirements workshop with collaborative analysis
- Architecture validation with socratic questioning
- Multi-iteration improvement workflows
This feature significantly enhances SuperClaude's specification analysis
capabilities, providing professional-grade review and improvement
guidance through authentic expert perspectives and proven methodologies.
2025-09-09 17:01:56 +02:00
| **spec-panel** | Specification review | Requirements validation, architecture analysis |
2025-08-21 19:03:25 +02:00
| **troubleshoot** | Problem diagnosis | Bug investigation, performance issues |
| **explain** | Code explanation | Learning, code reviews |
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### Quality Commands
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| 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 |
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### Utility Commands
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| Command | Purpose | Best For |
|---------|---------|----------|
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| **help** | List all commands | Discovering available commands |
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| **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 |
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---
## Command Index
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**By Function:**
- **Planning**: brainstorm, design, workflow, estimate
- **Development**: implement, build, git
added spec-panel, which transforms the project specs though the lens … (#346)
Introduces a multi-expert specification review and improvement system
powered by renowned software engineering and specification experts. This
command transforms technical specifications through the lens of industry
experts, providing actionable feedback and systematic improvement
recommendations.
🎯 Key Features
Expert Panel System
- 10 Industry Experts: Karl Wiegers, Gojko Adzic, Alistair Cockburn,
Martin Fowler, Michael Nygard, Sam Newman, Gregor Hohpe, Lisa Crispin,
Janet Gregory, and Kelsey Hightower
- Domain Specialization: Requirements engineering, architecture,
testing,
compliance, and cloud-native patterns
- Authentic Methodologies: Each expert applies their real-world
frameworks and critique styles
Analysis Modes
- Discussion Mode: Collaborative improvement through expert dialogue
- Critique Mode: Systematic review with prioritized recommendations
- Socratic Mode: Learning-focused questioning for deeper understanding
Focus Areas
- Requirements: Clarity, completeness, testability validation
- Architecture: Interface design, scalability, maintainability analysis
- Testing: Quality attributes, coverage, edge case identification
- Compliance: Regulatory requirements, security, operational excellence
🔧 Technical Implementation
Command Structure
/sc:spec-panel [content|@file] [--mode discussion|critique|socratic]
[--focus area] [--iterations N]
MCP Integration
- Sequential MCP: Expert panel coordination and structured analysis
- Context7 MCP: Industry patterns and best practices
- Persona System: Technical Writer, System Architect, Quality Engineer
activation
Quality Metrics
- Clarity Score (0-10): Language precision and understandability
- Completeness Score (0-10): Coverage of essential elements
- Testability Score (0-10): Measurability and validation capability
- Consistency Score (0-10): Internal coherence assessment
📊 Output Examples
Expert Critique Format
KARL WIEGERS - Requirements Engineering:
❌ CRITICAL: Password complexity requirements not specified
📝 RECOMMENDATION: Add requirement "System SHALL enforce password
complexity: minimum 8 characters, mixed case, numbers"
🎯 PRIORITY: High - Security vulnerability without standards
📊 QUALITY IMPACT: +35% security compliance, +20% completeness
Improvement Roadmap
- Immediate: Critical security and clarity issues
- Short-term: Architecture refinements and testing strategies
- Long-term: Evolution planning and advanced optimizations
🚀 Integration Patterns
Workflow
1. Generate specification using
https://github.com/github/spec-kit/blob/main/spec-driven.md
2. Review and improve with expert panel
3. Iterative refinement based on feedback
CI/CD Integration
- Specification validation in development workflow
- Quality gate enforcement with automated checks
- Version control integration for evolution tracking
📈 Quality Impact
Based on an example review:
- Security Completeness: +35% improvement
- Requirements Clarity: +14% improvement
- Testability Score: +19% improvement
- Production Readiness: +47% improvement
- Overall Quality: +24% improvement
🎓 Learning Features
Educational Value
- Socratic questioning mode for skill development
- Expert methodology exposure and learning
- Progressive specification writing guidance
- Best practice pattern recognition
Mentoring Integration
- Step-by-step improvement guidance
- Industry standard alignment
- Professional specification writing techniques
🔗 Files Changed
- SuperClaude/Commands/spec-panel.md - Complete command specification
🧪 Testing
Includes comprehensive examples:
- API specification review with security focus
- Requirements workshop with collaborative analysis
- Architecture validation with socratic questioning
- Multi-iteration improvement workflows
This feature significantly enhances SuperClaude's specification analysis
capabilities, providing professional-grade review and improvement
guidance through authentic expert perspectives and proven methodologies.
2025-09-09 17:01:56 +02:00
- **Analysis**: analyze, business-panel, spec-panel, troubleshoot, explain
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- **Quality**: improve, cleanup, test, document
- **Management**: task, spawn, load, save, reflect
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- **Utility**: help, index, select-tool
2025-08-18 11:58:55 +02:00
2025-08-21 19:03:25 +02:00
**By Complexity:**
2025-09-15 15:03:33 +00:00
- **Beginner**: brainstorm, implement, analyze, test, help
added spec-panel, which transforms the project specs though the lens … (#346)
Introduces a multi-expert specification review and improvement system
powered by renowned software engineering and specification experts. This
command transforms technical specifications through the lens of industry
experts, providing actionable feedback and systematic improvement
recommendations.
🎯 Key Features
Expert Panel System
- 10 Industry Experts: Karl Wiegers, Gojko Adzic, Alistair Cockburn,
Martin Fowler, Michael Nygard, Sam Newman, Gregor Hohpe, Lisa Crispin,
Janet Gregory, and Kelsey Hightower
- Domain Specialization: Requirements engineering, architecture,
testing,
compliance, and cloud-native patterns
- Authentic Methodologies: Each expert applies their real-world
frameworks and critique styles
Analysis Modes
- Discussion Mode: Collaborative improvement through expert dialogue
- Critique Mode: Systematic review with prioritized recommendations
- Socratic Mode: Learning-focused questioning for deeper understanding
Focus Areas
- Requirements: Clarity, completeness, testability validation
- Architecture: Interface design, scalability, maintainability analysis
- Testing: Quality attributes, coverage, edge case identification
- Compliance: Regulatory requirements, security, operational excellence
🔧 Technical Implementation
Command Structure
/sc:spec-panel [content|@file] [--mode discussion|critique|socratic]
[--focus area] [--iterations N]
MCP Integration
- Sequential MCP: Expert panel coordination and structured analysis
- Context7 MCP: Industry patterns and best practices
- Persona System: Technical Writer, System Architect, Quality Engineer
activation
Quality Metrics
- Clarity Score (0-10): Language precision and understandability
- Completeness Score (0-10): Coverage of essential elements
- Testability Score (0-10): Measurability and validation capability
- Consistency Score (0-10): Internal coherence assessment
📊 Output Examples
Expert Critique Format
KARL WIEGERS - Requirements Engineering:
❌ CRITICAL: Password complexity requirements not specified
📝 RECOMMENDATION: Add requirement "System SHALL enforce password
complexity: minimum 8 characters, mixed case, numbers"
🎯 PRIORITY: High - Security vulnerability without standards
📊 QUALITY IMPACT: +35% security compliance, +20% completeness
Improvement Roadmap
- Immediate: Critical security and clarity issues
- Short-term: Architecture refinements and testing strategies
- Long-term: Evolution planning and advanced optimizations
🚀 Integration Patterns
Workflow
1. Generate specification using
https://github.com/github/spec-kit/blob/main/spec-driven.md
2. Review and improve with expert panel
3. Iterative refinement based on feedback
CI/CD Integration
- Specification validation in development workflow
- Quality gate enforcement with automated checks
- Version control integration for evolution tracking
📈 Quality Impact
Based on an example review:
- Security Completeness: +35% improvement
- Requirements Clarity: +14% improvement
- Testability Score: +19% improvement
- Production Readiness: +47% improvement
- Overall Quality: +24% improvement
🎓 Learning Features
Educational Value
- Socratic questioning mode for skill development
- Expert methodology exposure and learning
- Progressive specification writing guidance
- Best practice pattern recognition
Mentoring Integration
- Step-by-step improvement guidance
- Industry standard alignment
- Professional specification writing techniques
🔗 Files Changed
- SuperClaude/Commands/spec-panel.md - Complete command specification
🧪 Testing
Includes comprehensive examples:
- API specification review with security focus
- Requirements workshop with collaborative analysis
- Architecture validation with socratic questioning
- Multi-iteration improvement workflows
This feature significantly enhances SuperClaude's specification analysis
capabilities, providing professional-grade review and improvement
guidance through authentic expert perspectives and proven methodologies.
2025-09-09 17:01:56 +02:00
- **Intermediate**: workflow, design, business-panel, spec-panel, improve, document
2025-08-21 19:03:25 +02:00
- **Advanced**: spawn, task, select-tool, reflect
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## Troubleshooting
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**Command Issues:**
- **Command not found**: Verify installation: `python3 -m SuperClaude --version`
- **No response**: Restart Claude Code session
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- **Processing delays**: Use `--no-mcp` to test without MCP servers
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**Quick Fixes:**
- Reset session: `/sc:load` to reinitialize
- Check status: `SuperClaude install --list-components`
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- Get help: [Troubleshooting Guide ](../reference/troubleshooting.md )
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2025-08-21 19:03:25 +02:00
## Next Steps
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2025-08-21 19:03:25 +02:00
- [Flags Guide ](flags.md ) - Control command behavior
- [Agents Guide ](agents.md ) - Specialist activation
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- [Examples Cookbook ](../reference/examples-cookbook.md ) - Real usage patterns