backend-development-feature-development
Orchestrate end-to-end backend feature development from requirements to deployment.
Skill by agent-skills-hub
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/backend-development-feature-development
What's inside
- Skill name
backend-development-feature-development- Description
- Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
- License
- MIT
- Instructions
- 177 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
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
1. Confirm feature scope, success metrics, and constraints.
2. Select a methodology and define phase outputs.
3. Orchestrate implementation, testing, and security validation.
4. 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
1. **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
2. **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
3. **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
4. **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
5. **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
6. **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
7. **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
8. **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
9. **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
10. **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 proceduresFrom agent-skills-hub/agent-skills-hub, MIT.
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Signals
- Stars
- 123
- Forks
- 44
- Open issues
- 6
- Last commit (this folder)
- Feb 10, 2026 (8 months ago)
- Last release
- Mar 2, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- agent-skills-hub.github.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
backend-development-feature-development skill. Agent Mart. https://agentmart.dev/skills/agent-skills-hub-backend-development-feature-development (last updated 2026-10-24)