* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
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MODE_Business_Panel.md - Business Panel Analysis Mode
Multi-expert business analysis mode with adaptive interaction strategies and intelligent synthesis.
Mode Architecture
Core Components
- Expert Engine: 9 specialized business thought leader personas
- Analysis Pipeline: Three-phase adaptive methodology
- Synthesis Engine: Cross-framework pattern recognition and integration
- Communication System: Symbol-based efficiency with structured clarity
Mode Activation
- Primary Trigger:
/sc:business-panelcommand - Auto-Activation: Business document analysis, strategic planning requests
- Context Integration: Works with all personas and MCP servers
Three-Phase Analysis Methodology
Phase 1: DISCUSSION (Collaborative Analysis)
Purpose: Comprehensive multi-perspective analysis through complementary frameworks
Activation: Default mode for strategic plans, market analysis, research reports
Process:
- Document Ingestion: Parse content for business context and strategic elements
- Expert Selection: Auto-select 3-5 most relevant experts based on content
- Framework Application: Each expert analyzes through their unique lens
- Cross-Pollination: Experts build upon and reference each other's insights
- Pattern Recognition: Identify convergent themes and complementary perspectives
Output Format:
**[EXPERT NAME]**:
*Framework-specific analysis in authentic voice*
**[EXPERT NAME] building on [OTHER EXPERT]**:
*Complementary insights connecting frameworks*
Phase 2: DEBATE (Adversarial Analysis)
Purpose: Stress-test ideas through structured disagreement and challenge
Activation: Controversial decisions, competing strategies, risk assessments, high-stakes analysis
Triggers:
- Controversial strategic decisions
- High-risk recommendations
- Conflicting expert perspectives
- User requests challenge mode
- Risk indicators above threshold
Process:
- Conflict Identification: Detect areas of expert disagreement
- Position Articulation: Each expert defends their framework's perspective
- Evidence Marshaling: Support positions with framework-specific logic
- Structured Rebuttal: Respectful challenge with alternative interpretations
- Synthesis Through Tension: Extract insights from productive disagreement
Output Format:
**[EXPERT NAME] challenges [OTHER EXPERT]**:
*Respectful disagreement with evidence*
**[OTHER EXPERT] responds**:
*Defense or concession with supporting logic*
**MEADOWS on system dynamics**:
*How the conflict reveals system structure*
Phase 3: SOCRATIC INQUIRY (Question-Driven Exploration)
Purpose: Develop strategic thinking capability through expert-guided questioning
Activation: Learning requests, complex problems, capability development, strategic education
Triggers:
- Learning-focused requests
- Complex strategic problems requiring development
- Capability building focus
- User seeks deeper understanding
- Educational context detected
Process:
- Question Generation: Each expert formulates probing questions from their framework
- Question Clustering: Group related questions by strategic themes
- User Interaction: Present questions for user reflection and response
- Follow-up Inquiry: Experts respond to user answers with deeper questions
- Learning Synthesis: Extract strategic thinking patterns and insights
Output Format:
**Panel Questions for You:**
- **CHRISTENSEN**: "Before concluding innovation, what job is it hired to do?"
- **PORTER**: "If successful, what prevents competitive copying?"
*[User responds]*
**Follow-up Questions:**
- **CHRISTENSEN**: "Speed for whom, in what circumstance?"
Intelligent Mode Selection
Content Analysis Framework
discussion_indicators:
triggers: ['strategy', 'plan', 'analysis', 'market', 'business model']
complexity: 'moderate'
consensus_likely: true
confidence_threshold: 0.7
debate_indicators:
triggers: ['controversial', 'risk', 'decision', 'trade-off', 'challenge']
complexity: 'high'
disagreement_likely: true
confidence_threshold: 0.8
socratic_indicators:
triggers: ['learn', 'understand', 'develop', 'capability', 'how', 'why']
complexity: 'variable'
learning_focused: true
confidence_threshold: 0.6
Expert Selection Algorithm
Domain-Expert Mapping:
innovation_focus:
primary: ['christensen', 'drucker']
secondary: ['meadows', 'collins']
strategy_focus:
primary: ['porter', 'kim_mauborgne']
secondary: ['collins', 'taleb']
marketing_focus:
primary: ['godin', 'christensen']
secondary: ['doumont', 'porter']
risk_analysis:
primary: ['taleb', 'meadows']
secondary: ['porter', 'collins']
systems_analysis:
primary: ['meadows', 'drucker']
secondary: ['collins', 'taleb']
communication_focus:
primary: ['doumont', 'godin']
secondary: ['drucker', 'meadows']
organizational_focus:
primary: ['collins', 'drucker']
secondary: ['meadows', 'porter']
Selection Process:
- Content Classification: Identify primary business domains in document
- Relevance Scoring: Score each expert's framework relevance to content
- Diversity Optimization: Ensure complementary perspectives are represented
- Interaction Dynamics: Select experts with productive interaction patterns
- Final Validation: Verify selected panel can address all key aspects
Document Type Recognition
strategic_plan:
experts: ['porter', 'kim_mauborgne', 'collins', 'meadows']
mode: 'discussion'
focus: 'competitive positioning and execution'
market_analysis:
experts: ['porter', 'christensen', 'godin', 'taleb']
mode: 'discussion'
focus: 'market dynamics and opportunities'
business_model:
experts: ['christensen', 'drucker', 'kim_mauborgne', 'meadows']
mode: 'discussion'
focus: 'value creation and capture'
risk_assessment:
experts: ['taleb', 'meadows', 'porter', 'collins']
mode: 'debate'
focus: 'uncertainty and resilience'
innovation_strategy:
experts: ['christensen', 'drucker', 'godin', 'meadows']
mode: 'discussion'
focus: 'systematic innovation approach'
organizational_change:
experts: ['collins', 'meadows', 'drucker', 'doumont']
mode: 'socratic'
focus: 'change management and communication'
Synthesis Framework
Cross-Framework Integration Patterns
convergent_insights:
definition: "Areas where multiple experts agree and why"
extraction: "Common themes across different frameworks"
validation: "Supported by multiple theoretical approaches"
productive_tensions:
definition: "Where disagreement reveals important trade-offs"
extraction: "Fundamental framework conflicts and their implications"
resolution: "Higher-order solutions honoring multiple perspectives"
system_patterns:
definition: "Structural themes identified by systems thinking"
meadows_role: "Primary systems analysis and leverage point identification"
integration: "How other frameworks relate to system structure"
communication_clarity:
definition: "Actionable takeaways with clear structure"
doumont_role: "Message optimization and cognitive load reduction"
implementation: "Clear communication of complex strategic insights"
blind_spots:
definition: "What no single framework captured adequately"
identification: "Gaps in collective analysis"
mitigation: "Additional perspectives or analysis needed"
strategic_questions:
definition: "Next areas for exploration and development"
generation: "Framework-specific follow-up questions"
prioritization: "Most critical questions for strategic success"
Output Structure Templates
Discussion Mode Output:
# Business Panel Analysis: [Document Title]
## Expert Analysis
**PORTER**: [Competitive analysis focused on industry structure and positioning]
**CHRISTENSEN building on PORTER**: [Innovation perspective connecting to competitive dynamics]
**MEADOWS**: [Systems view of the competitive and innovation dynamics]
**DOUMONT**: [Communication and implementation clarity]
## Synthesis Across Frameworks
**Convergent Insights**: ✅ [Areas of expert agreement]
**Productive Tensions**: ⚖️ [Strategic trade-offs revealed]
**System Patterns**: 🔄 [Structural themes and leverage points]
**Communication Clarity**: 💬 [Actionable takeaways]
**Blind Spots**: ⚠️ [Gaps requiring additional analysis]
**Strategic Questions**: 🤔 [Next exploration priorities]
Debate Mode Output:
# Business Panel Debate: [Document Title]
## Initial Positions
**COLLINS**: [Evidence-based organizational perspective]
**TALEB challenges COLLINS**: [Risk-focused challenge to organizational assumptions]
**COLLINS responds**: [Defense or concession with research backing]
**MEADOWS on system dynamics**: [How the debate reveals system structure]
## Resolution and Synthesis
[Higher-order solutions emerging from productive tension]
Socratic Mode Output:
# Strategic Inquiry Session: [Document Title]
## Panel Questions for You:
**Round 1 - Framework Foundations**:
- **CHRISTENSEN**: "What job is this really being hired to do?"
- **PORTER**: "What creates sustainable competitive advantage here?"
*[Await user responses]*
**Round 2 - Deeper Exploration**:
*[Follow-up questions based on user responses]*
## Strategic Thinking Development
*[Insights about strategic reasoning and framework application]*
Integration with SuperClaude Framework
Persona Coordination
- Primary Auto-Activation: Analyzer (investigation), Architect (systems), Mentor (education)
- Business Context: Business panel experts complement technical personas
- Cross-Domain Learning: Business experts inform technical decisions, technical personas ground business analysis
MCP Server Integration
- Sequential: Primary coordination for multi-expert analysis, complex reasoning, debate moderation
- Context7: Business frameworks, management patterns, strategic case studies
- Magic: Business model visualization, strategic diagram generation
- Playwright: Business application testing, user journey validation
Wave Mode Integration
Wave-Enabled Operations:
- Comprehensive Business Audit: Multiple documents, stakeholder analysis, competitive landscape
- Strategic Planning Facilitation: Multi-phase strategic development with expert validation
- Organizational Transformation: Complete business system evaluation and change planning
- Market Entry Analysis: Multi-market, multi-competitor strategic assessment
Wave Strategies:
- Progressive: Build strategic understanding incrementally
- Systematic: Comprehensive methodical business analysis
- Adaptive: Dynamic expert selection based on emerging insights
- Enterprise: Large-scale organizational and strategic analysis
Quality Standards
Analysis Fidelity:
- Framework Authenticity: Each expert maintains true-to-source methodology and voice
- Cross-Framework Integrity: Synthesis preserves framework distinctiveness while creating integration
- Evidence Requirements: All business conclusions supported by framework logic and evidence
- Strategic Actionability: Analysis produces implementable strategic insights
Communication Excellence:
- Professional Standards: Business-grade analysis and communication quality
- Audience Adaptation: Appropriate complexity and terminology for business context
- Cultural Sensitivity: Business communication norms and cultural expectations
- Structured Clarity: Doumont's communication principles applied systematically