| name | Framework Orchestrator |
| description | Meta-skill that coordinates all frameworks and skills throughout the project lifecycle, providing intelligent sequencing based on project patterns |
| version | 1.0.0 |
| category | orchestration |
| triggers | ["framework-orchestrator","framework orchestrator","orchestrate frameworks","coordinate skills","project orchestration"] |
| dependencies | {"required_mcps":[],"required_tools":[],"required_integrations":[]} |
Framework Orchestrator
Overview
The Framework Orchestrator is the meta-skill that coordinates all other skills and frameworks throughout your project lifecycle. It analyzes your project, identifies the appropriate pattern, and sequences frameworks and skills in the optimal order.
Think of it as: Your AI project manager that knows when to apply which methodology.
When to Use This Skill
Use Framework Orchestrator when:
- Starting a new project and need guidance on methodology
- Unsure which frameworks or skills to apply first
- Want a complete orchestrated plan for your project
- Need to understand your project's complexity pattern
- Transitioning between project phases
- Managing multiple workstreams in parallel
Key Capabilities
- Analyze projects and identify complexity patterns (A, B, C)
- Recommend optimal framework sequences
- Coordinate skill activation at appropriate phases
- Provide phase-gate validation
- Adapt orchestration based on project evolution
- Ensure comprehensive coverage across all dimensions
Workflow
Step 1: Pattern Identification
Analyze the project and categorize into one of three patterns:
Pattern A: Simple Feature/Enhancement
Characteristics:
- Adding to existing system
- Well-understood requirements
- Low risk, minimal security impact
- Single-team, short timeline (days to 1-2 weeks)
Examples:
- Add filter to existing search
- New dashboard widget
- Form field additions
- UI styling updates
Timeline: 1-5 days
Pattern B: New Product/System
Characteristics:
- Building from scratch or major module
- User validation needed
- Security/compliance important
- Multiple considerations (UX, architecture, testing)
- Medium timeline (weeks to months)
Examples:
- New SaaS product
- Customer portal
- Internal tool
- API platform
Timeline: 4-12 weeks
Pattern C: AI-Native/Complex System
Characteristics:
- All Pattern B characteristics, PLUS:
- AI agents, RAG systems, or knowledge graphs
- Complex orchestration
- Novel technology
- Higher uncertainty and iteration
Examples:
- Multi-agent AI system
- RAG-powered knowledge base
- Intelligent automation platform
- AI-assisted decision support
Timeline: 8-20 weeks
Step 2: Framework Selection
Based on pattern, recommend framework sequence:
Pattern A Sequence (Simple Feature)
- simple_feature_framework - Lightweight requirements and validation
- code-quality-enforcer - Ensure code standards
- testing-strategist - Unit test coverage
- deployment-advisor - Ship quickly
Coordinating Skills:
- quality-assurance (testing)
- performance-optimizer (if needed)
Pattern B Sequence (New Product)
Phase 1: Discovery & Validation
- discovery_validation_framework - User research and problem validation
- product_market_fit_framework - Market analysis and positioning
- prp-generator skill - Create Product Requirements Prompt
- user-researcher skill - Conduct user interviews
Phase 2: Architecture & Design
- bmad-method skill - Business model and architecture alignment
- design_prototyping_framework - Wireframes and prototypes
- ux-designer skill - User journey mapping
- security-architect skill - Threat modeling and security design
- api-designer skill (if applicable) - API contract design
Phase 3: Development
- full_stack_dev_framework - Implementation guidance
- frontend-builder / api-designer skills - Build UI and backend
- quality-assurance skill - Code quality and testing
Phase 4: Testing & Validation
- testing_validation_framework - Comprehensive testing strategy
- quality-assurance skill - Test pyramid execution
- usability-tester skill - User acceptance testing
- security-architect skill - Security testing
Phase 5: Deployment & Launch
- deployment_devops_framework - CI/CD and infrastructure
- deployment-advisor skill - Deployment strategy
- go-to-market-planner skill - Launch planning
Pattern C Sequence (AI-Native)
All Pattern B phases, PLUS:
Phase 2b: AI Architecture (parallel with standard architecture)
- multi-agent-architect skill - Agent system design
- rag-implementer skill - RAG architecture (if applicable)
- knowledge-graph-builder skill - Knowledge structure (if applicable)
- agentic-workflow-orchestration-framework - Agent coordination
Phase 3b: AI Development (integrated with standard development)
- context_engineering_framework - Prompt and context design
- multi_agent_orchestration_framework - Agent implementation
Phase 4b: AI Testing (additional testing layer)
- Test agent behaviors and edge cases
- Validate RAG retrieval quality
- Benchmark LLM performance
Step 3: Phase Orchestration
Execute phases with validation gates:
Phase Gate Structure
Entry to Phase 2 (Design):
- PRP document complete
- Problem statement validated
- Success metrics defined
- User stories documented
Entry to Phase 3 (Development):
- Architecture documented
- Data model designed
- Security threats identified
- Mitigations planned
Entry to Phase 4 (Testing):
- Features complete
- Unit tests >80% coverage
- Code review passed
- SAST scans clean
Entry to Phase 5 (Deployment):
- All tests passing
- UAT completed
- Security testing done
- Coverage >90%
Step 4: Skill Coordination
Orchestrate skills based on current phase:
Discovery Phase Skills:
- user-researcher
- product-strategist
- product-analyst
Design Phase Skills:
- ux-designer
- design-system-architect
- bmad-method
- security-architect
Development Phase Skills:
- frontend-builder
- api-designer
- multi-agent-architect (Pattern C)
- rag-implementer (Pattern C)
- mvp-builder
Testing Phase Skills:
- quality-assurance
- usability-tester
- security-architect
Deployment Phase Skills:
- deployment-advisor
- go-to-market-planner
- performance-optimizer
Post-Launch Skills:
- product-analyst
- customer-feedback-analyzer
- performance-optimizer
Examples
Example 1: SaaS Analytics Platform (Pattern B)
Project Analysis:
- New product from scratch
- B2B SaaS model
- Security and compliance important
- 8-week timeline
Recommended Sequence:
Week 1: Discovery
- discovery_validation_framework
- user-researcher skill → User interviews
- product-strategist skill → Market validation
- prp-generator skill → Create PRP
Week 2: Architecture 5. bmad-method skill → Business model + architecture alignment 6. design_prototyping_framework → Wireframes 7. ux-designer skill → User journeys 8. api-designer skill → API design 9. security-architect skill → Threat model
Week 3-6: Development 10. full_stack_dev_framework 11. frontend-builder skill → Build React UI 12. api-designer skill → Build backend 13. quality-assurance skill → Continuous testing
Week 7: Testing 14. testing_validation_framework 15. quality-assurance skill → Test pyramid 16. usability-tester skill → User testing 17. security-architect skill → Security testing
Week 8: Deployment 18. deployment_devops_framework 19. deployment-advisor skill → Deploy to production 20. go-to-market-planner skill → Launch plan
Example 2: Multi-Agent Customer Support System (Pattern C)
Project Analysis:
- AI-native system with multiple agents
- RAG for knowledge retrieval
- Complex orchestration
- 12-week timeline
Recommended Sequence:
Week 1-2: Discovery (same as Pattern B)
Week 3-4: Architecture
- bmad-method skill
- security-architect skill
- multi-agent-architect skill → Agent system design
- rag-implementer skill → RAG architecture
- knowledge-graph-builder skill → Knowledge structure
- agentic-workflow-orchestration-framework
Week 5-9: Development
- full_stack_dev_framework
- frontend-builder skill
- multi-agent-architect skill → Agent implementation
- rag-implementer skill → Vector DB + embeddings
- context_engineering_framework → Prompt design
- quality-assurance skill
Week 10-11: Testing
- testing_validation_framework
- quality-assurance skill
- Test agent behaviors, RAG quality, LLM performance
- usability-tester skill
Week 12: Deployment
- deployment_devops_framework
- deployment-advisor skill
- go-to-market-planner skill
Example 3: Add User Export Feature (Pattern A)
Project Analysis:
- Enhancement to existing system
- Well-understood requirements
- Low complexity
- 3-day timeline
Recommended Sequence:
Day 1:
- simple_feature_framework → Define requirements
- api-designer skill → Design export endpoint
Day 2: 3. Build backend + frontend 4. quality-assurance skill → Unit tests
Day 3: 5. testing-strategist skill → Integration tests 6. deployment-advisor skill → Deploy to staging, then production
Best Practices
1. Always Start with Pattern Identification
Don't jump to frameworks. First understand:
- Scope (simple feature, new product, AI system)
- Timeline (days, weeks, months)
- Risk (low, medium, high)
2. Respect Phase Gates
Don't skip validation checkpoints. Each gate ensures:
- Previous work is complete
- Next phase has proper foundation
- Risks are identified and mitigated
3. Parallelize When Possible
Some work can run in parallel:
- UX design + Architecture design (Phase 2)
- Frontend + Backend development (Phase 3)
- Test writing + Feature development (Phase 3)
4. Adapt Orchestration Based on Reality
If project evolves:
- Pattern A → Pattern B: Add discovery and design phases
- Pattern B → Pattern C: Add AI architecture and testing
- Scope reduction: Simplify orchestration
5. Coordinate Skills, Don't Overwhelm
Don't activate all skills at once. Sequence them:
- 1-3 skills per phase maximum
- Clear handoffs between skills
- Each skill has specific deliverable
Common Pitfalls
1. Mis-Identifying Pattern
Antipattern: Treating Pattern B (new product) as Pattern A (simple feature)
Result: Skip discovery, build wrong thing
Fix: If any uncertainty exists, default to Pattern B
2. Skipping Phases
Antipattern: Jump straight to development without design
Result: Rework, missed requirements, security gaps
Fix: Respect the sequence, validate phase gates
3. Over-Orchestrating Simple Features
Antipattern: Use full Pattern B orchestration for a button color change
Result: Waste time on unnecessary process
Fix: Pattern A is valid for truly simple work
4. Under-Orchestrating Complex Projects
Antipattern: Build AI system without proper architecture phase
Result: Technical debt, poor performance, rewrites
Fix: Pattern C requires comprehensive orchestration
5. Ignoring Phase Gates
Antipattern: Move to development with incomplete architecture
Result: Build on shaky foundation, blockers mid-development
Fix: Enforce phase gates, document readiness
Related Skills
- prp-generator - Creates requirements (called by orchestrator in Phase 1)
- bmad-method - Business/architecture alignment (Phase 2)
- security-architect - Security design (Phase 2 & 4)
- quality-assurance - Testing strategy (Phase 3 & 4)
- deployment-advisor - Infrastructure (Phase 5)
- All other skills - Activated by orchestrator at appropriate phases
Deliverables
When using Framework Orchestrator, produce:
-
Pattern Identification
- Pattern: A, B, or C
- Rationale for classification
- Estimated timeline
-
Orchestration Plan
- Phase breakdown
- Framework sequence
- Skill activation points
- Phase gate criteria
-
Current Phase Status
- Where you are now
- Completion percentage
- Gate criteria readiness
- Next steps
-
Risk & Adaptation Plan
- Identified risks
- Contingency plans
- When to adapt orchestration
Success Metrics
Successful orchestration means:
- Right pattern identified (no mis-classification)
- Frameworks applied in optimal sequence
- Phase gates enforced and passed
- Skills activated at appropriate times
- No major rework due to skipped phases
- Team clarity on current phase and next steps
- Project delivered with appropriate quality for pattern
Remember: The orchestrator ensures you apply the right methodology at the right time. It's the difference between organized development and chaotic thrashing.
