Orchestrate end-to-end feature development from requirements to production deployment:
[Extended thinking: This workflow orchestrates specialized agents through comprehensive feature development phases - from discovery and planning through implementation, testing, and deployment. Each phase builds on previous outputs, ensuring coherent feature delivery. The workflow supports multiple development methodologies (traditional, TDD/BDD, DDD), feature complexity levels, and modern deployment strategies including feature flags, gradual rollouts, and observability-first development. Agents receive detailed context from previous phases to maintain consistency and quality throughout the development lifecycle.]
Use this skill when
- Coordinating end-to-end feature delivery across backend, frontend, and data
- Managing requirements, architecture, implementation, testing, and rollout
- Planning multi-service changes with deployment and monitoring needs
- Aligning teams on scope, risks, and success metrics
Do not use this skill when
- The task is a small, isolated backend change or bug fix
- You only need a single specialist task, not a full workflow
- There is no deployment or cross-team coordination involved
Instructions
- Confirm feature scope, success metrics, and constraints.
- Select a methodology and define phase outputs.
- Orchestrate implementation, testing, and security validation.
- Prepare rollout, monitoring, and documentation plans.
Safety
- Avoid production changes without approvals and rollback plans.
- Validate data migrations and feature flags in staging first.
Configuration Options
Development Methodology
- traditional: Sequential development with testing after implementation
- tdd: Test-Driven Development with red-green-refactor cycles
- bdd: Behavior-Driven Development with scenario-based testing
- ddd: Domain-Driven Design with bounded contexts and aggregates
Feature Complexity
- simple: Single service, minimal integration (1-2 days)
- medium: Multiple services, moderate integration (3-5 days)
- complex: Cross-domain, extensive integration (1-2 weeks)
- epic: Major architectural changes, multiple teams (2+ weeks)
Deployment Strategy
- direct: Immediate rollout to all users
- canary: Gradual rollout starting with 5% of traffic
- feature-flag: Controlled activation via feature toggles
- blue-green: Zero-downtime deployment with instant rollback
- a-b-test: Split traffic for experimentation and metrics
Phase 1: Discovery & Requirements Planning
- Business Analysis & Requirements
- Use Task tool with subagent_type="business-analytics::business-analyst" - Prompt: "Analyze feature requirements for: $ARGUMENTS. Define user stories, acceptance criteria, success metrics, and business value. Identify stakeholders, dependencies, and risks. Create feature specification document with clear scope boundaries." - Expected output: Requirements document with user stories, success metrics, risk assessment - Context: Initial feature request and business context
- Technical Architecture Design
- Use Task tool with subagent_type="comprehensive-review::architect-review" - Prompt: "Design technical architecture for feature: $ARGUMENTS. Using requirements: [include business analysis from step 1]. Define service boundaries, API contracts, data models, integration points, and technology stack. Consider scalability, performance, and security requirements." - Expected output: Technical design document with architecture diagrams, API specifications, data models - Context: Business requirements, existing system architecture
- Feasibility & Risk Assessment
- Use Task tool with subagent_type="security-scanning::security-auditor" - Prompt: "Assess security implications and risks for feature: $ARGUMENTS. Review architecture: [include technical design from step 2]. Identify security requirements, compliance needs, data privacy concerns, and potential vulnerabilities." - Expected output: Security assessment with risk matrix, compliance checklist, mitigation strategies - Context: Technical design, regulatory requirements
Phase 2: Implementation & Development
- Backend Services Implementation
- Use Task tool with subagent_type="backend-architect" - Prompt: "Implement backend services for: $ARGUMENTS. Follow technical design: [include architecture from step 2]. Build RESTful/GraphQL APIs, implement business logic, integrate with data layer, add resilience patterns (circuit breakers, retries), implement caching strategies. Include feature flags for gradual rollout." - Expected output: Backend services with APIs, business logic, database integration, feature flags - Context: Technical design, API contracts, data models
- Frontend Implementation
- Use Task tool with subagent_type="frontend-mobile-development::frontend-developer" - Prompt: "Build frontend components for: $ARGUMENTS. Integrate with backend APIs: [include API endpoints from step 4]. Implement responsive UI, state management, error handling, loading states, and analytics tracking. Add feature flag integration for A/B testing capabilities." - Expected output: Frontend components with API integration, state management, analytics - Context: Backend APIs, UI/UX designs, user stories
- Data Pipeline & Integration
- Use Task tool with subagent_type="data-engineering::data-engineer" - Prompt: "Build data pipelines for: $ARGUMENTS. Design ETL/ELT processes, implement data validation, create analytics events, set up data quality monitoring. Integrate with product analytics platforms for feature usage tracking." - Expected output: Data pipelines, analytics events, data quality checks - Context: Data requirements, analytics needs, existing data infrastructure
Phase 3: Testing & Quality Assurance
- Automated Test Suite
- Use Task tool with subagent_type="unit-testing::test-automator" - Prompt: "Create comprehensive test suite for: $ARGUMENTS. Write unit tests for backend: [from step 4] and frontend: [from step 5]. Add integration tests for API endpoints, E2E tests for critical user journeys, performance tests for scalability validation. Ensure minimum 80% code coverage." - Expected output: Test suites with unit, integration, E2E, and performance tests - Context: Implementation code, acceptance criteria, test requirements
- Security Validation
- Use Task tool with subagent_type="security-scanning::security-auditor" - Prompt: "Perform security testing for: $ARGUMENTS. Review implementation: [include backend and frontend from steps 4-5]. Run OWASP checks, penetration testing, dependency scanning, and compliance validation. Verify data encryption, authentication, and authorization." - Expected output: Security test results, vulnerability report, remediation actions - Context: Implementation code, security requirements
- Performance Optimization
- Use Task tool with subagent_type="application-performance::performance-engineer" - Prompt: "Optimize performance for: $ARGUMENTS. Analyze backend services: [from step 4] and frontend: [from step 5]. Profile code, optimize queries, implement caching, reduce bundle sizes, improve load times. Set up performance budgets and monitoring." - Expected output: Performance improvements, optimization report, performance metrics - Context: Implementation code, performance requirements
Phase 4: Deployment & Monitoring
- Deployment Strategy & Pipeline
- Use Task tool with subagent_type="deployment-strategies::deployment-engineer" - Prompt: "Prepare deployment for: $ARGUMENTS. Create CI/CD pipeline with automated tests: [from step 7]. Configure feature flags for gradual rollout, implement blue-green deployment, set up rollback procedures. Create deployment runbook and rollback plan." - Expected output: CI/CD pipeline, deployment configuration, rollback procedures - Context: Test suites, infrastructure requirements, deployment strategy
- Observability & Monitoring
- Use Task tool with subagent_type="observability-monitoring::observability-engineer" - Prompt: "Set up observability for: $ARGUMENTS. Implement distributed tracing, custom metrics, error tracking, and alerting. Create dashboards for feature usage, performance metrics, error rates, and business KPIs. Set up SLOs/SLIs with automated alerts." - Expected output: Monitoring dashboards, alerts, SLO definitions, observability infrastructure - Context: Feature implementation, success metrics, operational requirements
- Documentation & Knowledge Transfer
- Use Task tool with subagent_type="documentation-generation::docs-architect" - Prompt: "Generate comprehensive documentation for: $ARGUMENTS. Create API documentation, user guides, deployment guides, troubleshooting runbooks. Include architecture diagrams, data flow diagrams, and integration guides. Generate automated changelog from commits." - Expected output: API docs, user guides, runbooks, architecture documentation - Context: All previous phases' outputs
Execution Parameters
Required Parameters
- --feature: Feature name and description
- --methodology: Development approach (traditional|tdd|bdd|ddd)
- --complexity: Feature complexity level (simple|medium|complex|epic)
Optional Parameters
- --deployment-strategy: Deployment approach (direct|canary|feature-flag|blue-green|a-b-test)
- --test-coverage-min: Minimum test coverage threshold (default: 80%)
- --performance-budget: Performance requirements (e.g., <200ms response time)
- --rollout-percentage: Initial rollout percentage for gradual deployment (default: 5%)
- --feature-flag-service: Feature flag provider (launchdarkly|split|unleash|custom)
- --analytics-platform: Analytics integration (segment|amplitude|mixpanel|custom)
- --monitoring-stack: Observability tools (datadog|newrelic|grafana|custom)
Success Criteria
- All acceptance criteria from business requirements are met
- Test coverage exceeds minimum threshold (80% default)
- Security scan shows no critical vulnerabilities
- Performance meets defined budgets and SLOs
- Feature flags configured for controlled rollout
- Monitoring and alerting fully operational
- Documentation complete and approved
- Successful deployment to production with rollback capability
- Product analytics tracking feature usage
- A/B test metrics configured (if applicable)
Rollback Strategy
If issues arise during or after deployment:
- Immediate feature flag disable (< 1 minute)
- Blue-green traffic switch (< 5 minutes)
- Full deployment rollback via CI/CD (< 15 minutes)
- Database migration rollback if needed (coordinate with data team)
- Incident post-mortem and fixes before re-deployment
Feature description: $ARGUMENTS
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.