{"id":"c24a38cd-cc8a-410a-95d7-5f8d674cb1bd","shortId":"3rGGQz","kind":"skill","title":"backend-development-feature-development","tagline":"Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.","description":"Orchestrate end-to-end feature development from requirements to production deployment:\n\n[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.]\n\n## Use this skill when\n\n- Coordinating end-to-end feature delivery across backend, frontend, and data\n- Managing requirements, architecture, implementation, testing, and rollout\n- Planning multi-service changes with deployment and monitoring needs\n- Aligning teams on scope, risks, and success metrics\n\n## Do not use this skill when\n\n- The task is a small, isolated backend change or bug fix\n- You only need a single specialist task, not a full workflow\n- There is no deployment or cross-team coordination involved\n\n## Instructions\n\n1. Confirm feature scope, success metrics, and constraints.\n2. Select a methodology and define phase outputs.\n3. Orchestrate implementation, testing, and security validation.\n4. Prepare rollout, monitoring, and documentation plans.\n\n## Safety\n\n- Avoid production changes without approvals and rollback plans.\n- Validate data migrations and feature flags in staging first.\n\n## Configuration Options\n\n### Development Methodology\n\n- **traditional**: Sequential development with testing after implementation\n- **tdd**: Test-Driven Development with red-green-refactor cycles\n- **bdd**: Behavior-Driven Development with scenario-based testing\n- **ddd**: Domain-Driven Design with bounded contexts and aggregates\n\n### Feature Complexity\n\n- **simple**: Single service, minimal integration (1-2 days)\n- **medium**: Multiple services, moderate integration (3-5 days)\n- **complex**: Cross-domain, extensive integration (1-2 weeks)\n- **epic**: Major architectural changes, multiple teams (2+ weeks)\n\n### Deployment Strategy\n\n- **direct**: Immediate rollout to all users\n- **canary**: Gradual rollout starting with 5% of traffic\n- **feature-flag**: Controlled activation via feature toggles\n- **blue-green**: Zero-downtime deployment with instant rollback\n- **a-b-test**: Split traffic for experimentation and metrics\n\n## Phase 1: Discovery & Requirements Planning\n\n1. **Business Analysis & Requirements**\n   - Use Task tool with subagent_type=\"business-analytics::business-analyst\"\n   - 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.\"\n   - Expected output: Requirements document with user stories, success metrics, risk assessment\n   - Context: Initial feature request and business context\n\n2. **Technical Architecture Design**\n   - Use Task tool with subagent_type=\"comprehensive-review::architect-review\"\n   - 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.\"\n   - Expected output: Technical design document with architecture diagrams, API specifications, data models\n   - Context: Business requirements, existing system architecture\n\n3. **Feasibility & Risk Assessment**\n   - Use Task tool with subagent_type=\"security-scanning::security-auditor\"\n   - 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.\"\n   - Expected output: Security assessment with risk matrix, compliance checklist, mitigation strategies\n   - Context: Technical design, regulatory requirements\n\n## Phase 2: Implementation & Development\n\n4. **Backend Services Implementation**\n   - Use Task tool with subagent_type=\"backend-architect\"\n   - 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.\"\n   - Expected output: Backend services with APIs, business logic, database integration, feature flags\n   - Context: Technical design, API contracts, data models\n\n5. **Frontend Implementation**\n   - Use Task tool with subagent_type=\"frontend-mobile-development::frontend-developer\"\n   - 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.\"\n   - Expected output: Frontend components with API integration, state management, analytics\n   - Context: Backend APIs, UI/UX designs, user stories\n\n6. **Data Pipeline & Integration**\n   - Use Task tool with subagent_type=\"data-engineering::data-engineer\"\n   - 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.\"\n   - Expected output: Data pipelines, analytics events, data quality checks\n   - Context: Data requirements, analytics needs, existing data infrastructure\n\n## Phase 3: Testing & Quality Assurance\n\n7. **Automated Test Suite**\n   - Use Task tool with subagent_type=\"unit-testing::test-automator\"\n   - 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.\"\n   - Expected output: Test suites with unit, integration, E2E, and performance tests\n   - Context: Implementation code, acceptance criteria, test requirements\n\n8. **Security Validation**\n   - Use Task tool with subagent_type=\"security-scanning::security-auditor\"\n   - 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.\"\n   - Expected output: Security test results, vulnerability report, remediation actions\n   - Context: Implementation code, security requirements\n\n9. **Performance Optimization**\n   - Use Task tool with subagent_type=\"application-performance::performance-engineer\"\n   - 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.\"\n   - Expected output: Performance improvements, optimization report, performance metrics\n   - Context: Implementation code, performance requirements\n\n## Phase 4: Deployment & Monitoring\n\n10. **Deployment Strategy & Pipeline**\n    - Use Task tool with subagent_type=\"deployment-strategies::deployment-engineer\"\n    - 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.\"\n    - Expected output: CI/CD pipeline, deployment configuration, rollback procedures\n    - Context: Test suites, infrastructure requirements, deployment strategy\n\n11. **Observability & Monitoring**\n    - Use Task tool with subagent_type=\"observability-monitoring::observability-engineer\"\n    - 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.\"\n    - Expected output: Monitoring dashboards, alerts, SLO definitions, observability infrastructure\n    - Context: Feature implementation, success metrics, operational requirements\n\n12. **Documentation & Knowledge Transfer**\n    - Use Task tool with subagent_type=\"documentation-generation::docs-architect\"\n    - 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.\"\n    - Expected output: API docs, user guides, runbooks, architecture documentation\n    - Context: All previous phases' outputs\n\n## Execution Parameters\n\n### Required Parameters\n\n- **--feature**: Feature name and description\n- **--methodology**: Development approach (traditional|tdd|bdd|ddd)\n- **--complexity**: Feature complexity level (simple|medium|complex|epic)\n\n### Optional Parameters\n\n- **--deployment-strategy**: Deployment approach (direct|canary|feature-flag|blue-green|a-b-test)\n- **--test-coverage-min**: Minimum test coverage threshold (default: 80%)\n- **--performance-budget**: Performance requirements (e.g., <200ms response time)\n- **--rollout-percentage**: Initial rollout percentage for gradual deployment (default: 5%)\n- **--feature-flag-service**: Feature flag provider (launchdarkly|split|unleash|custom)\n- **--analytics-platform**: Analytics integration (segment|amplitude|mixpanel|custom)\n- **--monitoring-stack**: Observability tools (datadog|newrelic|grafana|custom)\n\n## Success Criteria\n\n- All acceptance criteria from business requirements are met\n- Test coverage exceeds minimum threshold (80% default)\n- Security scan shows no critical vulnerabilities\n- Performance meets defined budgets and SLOs\n- Feature flags configured for controlled rollout\n- Monitoring and alerting fully operational\n- Documentation complete and approved\n- Successful deployment to production with rollback capability\n- Product analytics tracking feature usage\n- A/B test metrics configured (if applicable)\n\n## Rollback Strategy\n\nIf issues arise during or after deployment:\n\n1. Immediate feature flag disable (< 1 minute)\n2. Blue-green traffic switch (< 5 minutes)\n3. Full deployment rollback via CI/CD (< 15 minutes)\n4. Database migration rollback if needed (coordinate with data team)\n5. Incident post-mortem and fixes before re-deployment\n\nFeature description: $ARGUMENTS\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are 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