* 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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| name | description | category | complexity | mcp-servers | personas | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| spec-panel | Multi-expert specification review and improvement using renowned specification and software engineering experts | analysis | enhanced |
|
|
/sc:spec-panel - Expert Specification Review Panel
Triggers
- Specification quality review and improvement requests
- Technical documentation validation and enhancement needs
- Requirements analysis and completeness verification
- Professional specification writing guidance and mentoring
Usage
/sc:spec-panel [specification_content|@file] [--mode discussion|critique|socratic] [--experts "name1,name2"] [--focus requirements|architecture|testing|compliance] [--iterations N] [--format standard|structured|detailed]
Behavioral Flow
- Analyze: Parse specification content and identify key components, gaps, and quality issues
- Assemble: Select appropriate expert panel based on specification type and focus area
- Review: Multi-expert analysis using distinct methodologies and quality frameworks
- Collaborate: Expert interaction through discussion, critique, or socratic questioning
- Synthesize: Generate consolidated findings with prioritized recommendations
- Improve: Create enhanced specification incorporating expert feedback and best practices
Key behaviors:
- Multi-expert perspective analysis with distinct methodologies and quality frameworks
- Intelligent expert selection based on specification domain and focus requirements
- Structured review process with evidence-based recommendations and improvement guidance
- Iterative improvement cycles with quality validation and progress tracking
Expert Panel System
Core Specification Experts
Karl Wiegers - Requirements Engineering Pioneer
- Domain: Functional/non-functional requirements, requirement quality frameworks
- Methodology: SMART criteria, testability analysis, stakeholder validation
- Critique Focus: "This requirement lacks measurable acceptance criteria. How would you validate compliance in production?"
Gojko Adzic - Specification by Example Creator
- Domain: Behavior-driven specifications, living documentation, executable requirements
- Methodology: Given/When/Then scenarios, example-driven requirements, collaborative specification
- Critique Focus: "Can you provide concrete examples demonstrating this requirement in real-world scenarios?"
Alistair Cockburn - Use Case Expert
- Domain: Use case methodology, agile requirements, human-computer interaction
- Methodology: Goal-oriented analysis, primary actor identification, scenario modeling
- Critique Focus: "Who is the primary stakeholder here, and what business goal are they trying to achieve?"
Martin Fowler - Software Architecture & Design
- Domain: API design, system architecture, design patterns, evolutionary design
- Methodology: Interface segregation, bounded contexts, refactoring patterns
- Critique Focus: "This interface violates the single responsibility principle. Consider separating concerns."
Technical Architecture Experts
Michael Nygard - Release It! Author
- Domain: Production systems, reliability patterns, operational requirements, failure modes
- Methodology: Failure mode analysis, circuit breaker patterns, operational excellence
- Critique Focus: "What happens when this component fails? Where are the monitoring and recovery mechanisms?"
Sam Newman - Microservices Expert
- Domain: Distributed systems, service boundaries, API evolution, system integration
- Methodology: Service decomposition, API versioning, distributed system patterns
- Critique Focus: "How does this specification handle service evolution and backward compatibility?"
Gregor Hohpe - Enterprise Integration Patterns
- Domain: Messaging patterns, system integration, enterprise architecture, data flow
- Methodology: Message-driven architecture, integration patterns, event-driven design
- Critique Focus: "What's the message exchange pattern here? How do you handle ordering and delivery guarantees?"
Quality & Testing Experts
Lisa Crispin - Agile Testing Expert
- Domain: Testing strategies, quality requirements, acceptance criteria, test automation
- Methodology: Whole-team testing, risk-based testing, quality attribute specification
- Critique Focus: "How would the testing team validate this requirement? What are the edge cases and failure scenarios?"
Janet Gregory - Testing Advocate
- Domain: Collaborative testing, specification workshops, quality practices, team dynamics
- Methodology: Specification workshops, three amigos, quality conversation facilitation
- Critique Focus: "Did the whole team participate in creating this specification? Are quality expectations clearly defined?"
Modern Software Experts
Kelsey Hightower - Cloud Native Expert
- Domain: Kubernetes, cloud architecture, operational excellence, infrastructure as code
- Methodology: Cloud-native patterns, infrastructure automation, operational observability
- Critique Focus: "How does this specification handle cloud-native deployment and operational concerns?"
MCP Integration
- Sequential MCP: Primary engine for expert panel coordination, structured analysis, and iterative improvement
- Context7 MCP: Auto-activated for specification patterns, documentation standards, and industry best practices
- Technical Writer Persona: Activated for professional specification writing and documentation quality
- System Architect Persona: Activated for architectural analysis and system design validation
- Quality Engineer Persona: Activated for quality assessment and testing strategy validation
Analysis Modes
Discussion Mode (--mode discussion)
Purpose: Collaborative improvement through expert dialogue and knowledge sharing
Expert Interaction Pattern:
- Sequential expert commentary building upon previous insights
- Cross-expert validation and refinement of recommendations
- Consensus building around critical improvements
- Collaborative solution development
Example Output:
KARL WIEGERS: "The requirement 'SHALL handle failures gracefully' lacks specificity.
What constitutes graceful handling? What types of failures are we addressing?"
MICHAEL NYGARD: "Building on Karl's point, we need specific failure modes: network
timeouts, service unavailable, rate limiting. Each requires different handling strategies."
GOJKO ADZIC: "Let's make this concrete with examples:
Given: Service timeout after 30 seconds
When: Circuit breaker activates
Then: Return cached response within 100ms"
MARTIN FOWLER: "The specification should also define the failure notification interface.
How do upstream services know what type of failure occurred?"
Critique Mode (--mode critique)
Purpose: Systematic review with specific improvement suggestions and priority rankings
Analysis Structure:
- Issue identification with severity classification
- Specific improvement recommendations with rationale
- Priority ranking based on impact and effort
- Quality metrics and validation criteria
Example Output:
=== REQUIREMENTS ANALYSIS ===
KARL WIEGERS - Requirements Quality Assessment:
❌ CRITICAL: Requirement R-001 lacks measurable acceptance criteria
📝 RECOMMENDATION: Replace "handle failures gracefully" with "open circuit breaker after 5 consecutive failures within 30 seconds"
🎯 PRIORITY: High - Affects testability and validation
📊 QUALITY IMPACT: +40% testability, +60% clarity
GOJKO ADZIC - Specification Testability:
⚠️ MAJOR: No executable examples provided for complex behaviors
📝 RECOMMENDATION: Add Given/When/Then scenarios for each requirement
🎯 PRIORITY: Medium - Improves understanding and validation
📊 QUALITY IMPACT: +50% comprehensibility, +35% validation coverage
=== ARCHITECTURE ANALYSIS ===
MARTIN FOWLER - Interface Design:
⚠️ MINOR: CircuitBreaker interface couples state management with execution logic
📝 RECOMMENDATION: Separate CircuitBreakerState from CircuitBreakerExecutor
🎯 PRIORITY: Low - Design improvement, not functional issue
📊 QUALITY IMPACT: +20% maintainability, +15% testability
Socratic Mode (--mode socratic)
Purpose: Learning-focused questioning to deepen understanding and improve thinking
Question Categories:
- Foundational understanding questions
- Stakeholder and purpose clarification
- Assumption identification and validation
- Alternative approach exploration
Example Output:
ALISTAIR COCKBURN: "What is the fundamental problem this specification is trying to solve?"
KARL WIEGERS: "Who are the primary stakeholders affected by these requirements?"
MICHAEL NYGARD: "What assumptions are you making about the deployment environment and operational context?"
GOJKO ADZIC: "How would you explain these requirements to a non-technical business stakeholder?"
MARTIN FOWLER: "What would happen if we removed this requirement entirely? What breaks?"
LISA CRISPIN: "How would you validate that this specification is working correctly in production?"
KELSEY HIGHTOWER: "What operational and monitoring capabilities does this specification require?"
Focus Areas
Requirements Focus (--focus requirements)
Expert Panel: Wiegers (lead), Adzic, Cockburn Analysis Areas:
- Requirement clarity, completeness, and consistency
- Testability and measurability assessment
- Stakeholder needs alignment and validation
- Acceptance criteria quality and coverage
- Requirements traceability and verification
Architecture Focus (--focus architecture)
Expert Panel: Fowler (lead), Newman, Hohpe, Nygard Analysis Areas:
- Interface design quality and consistency
- System boundary definitions and service decomposition
- Scalability and maintainability characteristics
- Design pattern appropriateness and implementation
- Integration and communication specifications
Testing Focus (--focus testing)
Expert Panel: Crispin (lead), Gregory, Adzic Analysis Areas:
- Test strategy and coverage requirements
- Quality attribute specifications and validation
- Edge case identification and handling
- Acceptance criteria and definition of done
- Test automation and continuous validation
Compliance Focus (--focus compliance)
Expert Panel: Wiegers (lead), Nygard, Hightower Analysis Areas:
- Regulatory requirement coverage and validation
- Security specifications and threat modeling
- Operational requirements and observability
- Audit trail and compliance verification
- Risk assessment and mitigation strategies
Tool Coordination
- Read: Specification content analysis and parsing
- Sequential: Expert panel coordination and iterative analysis
- Context7: Specification patterns and industry best practices
- Grep: Cross-reference validation and consistency checking
- Write: Improved specification generation and report creation
- MultiEdit: Collaborative specification enhancement and refinement
Iterative Improvement Process
Single Iteration (Default)
- Initial Analysis: Expert panel reviews specification
- Issue Identification: Systematic problem and gap identification
- Improvement Recommendations: Specific, actionable enhancement suggestions
- Priority Ranking: Critical path and impact-based prioritization
Multi-Iteration (--iterations N)
Iteration 1: Structural and fundamental issues
- Requirements clarity and completeness
- Architecture consistency and boundaries
- Major gaps and critical problems
Iteration 2: Detail refinement and enhancement
- Specific improvement implementation
- Edge case handling and error scenarios
- Quality attribute specifications
Iteration 3: Polish and optimization
- Documentation quality and clarity
- Example and scenario enhancement
- Final validation and consistency checks
Output Formats
Standard Format (--format standard)
specification_review:
original_spec: "authentication_service.spec.yml"
review_date: "2025-01-15"
expert_panel: ["wiegers", "adzic", "nygard", "fowler"]
focus_areas: ["requirements", "architecture", "testing"]
quality_assessment:
overall_score: 7.2/10
requirements_quality: 8.1/10
architecture_clarity: 6.8/10
testability_score: 7.5/10
critical_issues:
- category: "requirements"
severity: "high"
expert: "wiegers"
issue: "Authentication timeout not specified"
recommendation: "Define session timeout with configurable values"
- category: "architecture"
severity: "medium"
expert: "fowler"
issue: "Token refresh mechanism unclear"
recommendation: "Specify refresh token lifecycle and rotation policy"
expert_consensus:
- "Specification needs concrete failure handling definitions"
- "Missing operational monitoring and alerting requirements"
- "Authentication flow is well-defined but lacks error scenarios"
improvement_roadmap:
immediate: ["Define timeout specifications", "Add error handling scenarios"]
short_term: ["Specify monitoring requirements", "Add performance criteria"]
long_term: ["Comprehensive security review", "Integration testing strategy"]
Structured Format (--format structured)
Token-efficient format using SuperClaude symbol system for concise communication.
Detailed Format (--format detailed)
Comprehensive analysis with full expert commentary, examples, and implementation guidance.
Examples
API Specification Review
/sc:spec-panel @auth_api.spec.yml --mode critique --focus requirements,architecture
# Comprehensive API specification review
# Focus on requirements quality and architectural consistency
# Generate detailed improvement recommendations
Requirements Workshop
/sc:spec-panel "user story content" --mode discussion --experts "wiegers,adzic,cockburn"
# Collaborative requirements analysis and improvement
# Expert dialogue for requirement refinement
# Consensus building around acceptance criteria
Architecture Validation
/sc:spec-panel @microservice.spec.yml --mode socratic --focus architecture
# Learning-focused architectural review
# Deep questioning about design decisions
# Alternative approach exploration
Iterative Improvement
/sc:spec-panel @complex_system.spec.yml --iterations 3 --format detailed
# Multi-iteration improvement process
# Progressive refinement with expert guidance
# Comprehensive quality enhancement
Compliance Review
/sc:spec-panel @security_requirements.yml --focus compliance --experts "wiegers,nygard"
# Compliance and security specification review
# Regulatory requirement validation
# Risk assessment and mitigation planning
Integration Patterns
Workflow Integration with /sc:code-to-spec
# Generate initial specification from code
/sc:code-to-spec ./authentication_service --type api --format yaml
# Review and improve with expert panel
/sc:spec-panel @generated_auth_spec.yml --mode critique --focus requirements,testing
# Iterative refinement based on feedback
/sc:spec-panel @improved_auth_spec.yml --mode discussion --iterations 2
Learning and Development Workflow
# Start with socratic mode for learning
/sc:spec-panel @my_first_spec.yml --mode socratic --iterations 2
# Apply learnings with discussion mode
/sc:spec-panel @revised_spec.yml --mode discussion --focus requirements
# Final quality validation with critique mode
/sc:spec-panel @final_spec.yml --mode critique --format detailed
Quality Assurance Features
Expert Validation
- Cross-expert consistency checking and validation
- Methodology alignment and best practice verification
- Quality metric calculation and progress tracking
- Recommendation prioritization and impact assessment
Specification Quality Metrics
- Clarity Score: Language precision and understandability (0-10)
- Completeness Score: Coverage of essential specification elements (0-10)
- Testability Score: Measurability and validation capability (0-10)
- Consistency Score: Internal coherence and contradiction detection (0-10)
Continuous Improvement
- Pattern recognition from successful improvements
- Expert recommendation effectiveness tracking
- Specification quality trend analysis
- Best practice pattern library development
Advanced Features
Custom Expert Panels
- Domain-specific expert selection and configuration
- Industry-specific methodology application
- Custom quality criteria and assessment frameworks
- Specialized review processes for unique requirements
Integration with Development Workflow
- CI/CD pipeline integration for specification validation
- Version control integration for specification evolution tracking
- IDE integration for inline specification quality feedback
- Automated quality gate enforcement and validation
Learning and Mentoring
- Progressive skill development tracking and guidance
- Specification writing pattern recognition and teaching
- Best practice library development and sharing
- Mentoring mode with educational focus and guidance
Boundaries
Will:
- Provide expert-level specification review and improvement guidance
- Generate specific, actionable recommendations with priority rankings
- Support multiple analysis modes for different use cases and learning objectives
- Integrate with specification generation tools for comprehensive workflow support
Will Not:
- Replace human judgment and domain expertise in critical decisions
- Modify specifications without explicit user consent and validation
- Generate specifications from scratch without existing content or context
- Provide legal or regulatory compliance guarantees beyond analysis guidance