full-stack-orchestration-full-stack-feature▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:
Use this skill when
- Working on full stack orchestration full stack feature tasks or workflows
- Needing guidance, best practices, or checklists for full stack orchestration full stack feature
Do not use this skill when
- The task is unrelated to full stack orchestration full stack feature
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:
[Extended thinking: This workflow coordinates multiple specialized agents to deliver a complete full-stack feature from architecture through deployment. It follows API-first development principles, ensuring contract-driven development where the API specification drives both backend implementation and frontend consumption. Each phase builds upon previous outputs, creating a cohesive system with proper separation of concerns, comprehensive testing, and production-ready deployment. The workflow emphasizes modern practices like component-driven UI development, feature flags, observability, and progressive rollout strategies.]
Phase 1: Architecture & Design Foundation
1. Database Architecture Design
- Use Task tool with subagent_type="database-design::database-architect"
- Prompt: "Design database schema and data models for: $ARGUMENTS. Consider scalability, query patterns, indexing strategy, and data consistency requirements. Include migration strategy if modifying existing schema. Provide both logical and physical data models."
- Expected output: Entity relationship diagrams, table schemas, indexing strategy, migration scripts, data access patterns
- Context: Initial requirements and business domain model
2. Backend Service Architecture
- Use Task tool with subagent_type="backend-development::backend-architect"
- Prompt: "Design backend service architecture for: $ARGUMENTS. Using the database design from previous step, create service boundaries, define API contracts (OpenAPI/GraphQL), design authentication/authorization strategy, and specify inter-service communication patterns. Include resilience patterns (circuit breakers, retries) and caching strategy."
- Expected output: Service architecture diagram, OpenAPI specifications, authentication flows, caching architecture, message queue design (if applicable)
- Context: Database schema from step 1, non-functional requirements
3. Frontend Component Architecture
- Use Task tool with subagent_type="frontend-mobile-development::frontend-developer"
- Prompt: "Design frontend architecture and component structure for: $ARGUMENTS. Based on the API contracts from previous step, design component hierarchy, state management approach (Redux/Zustand/Context), routing structure, and data fetching patterns. Include accessibility requirements and responsive design strategy. Plan for Storybook component documentation."
- Expected output: Component tree diagram, state management design, routing configuration, design system integration plan, accessibility checklist
- Context: API specifications from step 2, UI/UX requirements
Phase 2: Parallel Implementation
4. Backend Service Implementation
- Use Task tool with subagent_type="python-development::python-pro" (or "golang-pro"/"nodejs-expert" based on stack)
- Prompt: "Implement backend services for: $ARGUMENTS. Using the architecture and API specs from Phase 1, build RESTful/GraphQL endpoints with proper validation, error handling, and logging. Implement business logic, data access layer, authentication middleware, and integration with external services. Include observability (structured logging, metrics, tracing)."
- Expected output: Backend service code, API endpoints, middleware, background jobs, unit tests, integration tests
- Context: Architecture designs from Phase 1, database schema
5. Frontend Implementation
- Use Task tool with subagent_type="frontend-mobile-development::frontend-developer"
- Prompt: "Implement frontend application for: $ARGUMENTS. Build React/Next.js components using the component architecture from Phase 1. Implement state management, API integration with proper error handling and loading states, form validation, and responsive layouts. Create Storybook stories for components. Ensure accessibility (WCAG 2.1 AA compliance)."
- Expected output: React components, state management implementation, API client code, Storybook stories, responsive styles, accessibility implementations
- Context: Component architecture from step 3, API contracts
6. Database Implementation & Optimization
- Use Task tool with subagent_type="database-design::sql-pro"
- Prompt: "Implement and optimize database layer for: $ARGUMENTS. Create migration scripts, stored procedures (if needed), optimize queries identified by backend implementation, set up proper indexes, and implement data validation constraints. Include database-level security measures and backup strategies."
- Expected output: Migration scripts, optimized queries, stored procedures, index definitions, database security configuration
- Context: Database design from step 1, query patterns from backend implementation
Phase 3: Integration & Testing
7. API Contract Testing
- Use Task tool with subagent_type="test-automator"
- Prompt: "Create contract tests for: $ARGUMENTS. Implement Pact/Dredd tests to validate API contracts between backend and frontend. Create integration tests for all API endpoints, test authentication flows, validate error responses, and ensure proper CORS configuration. Include load testing scenarios."
- Expected output: Contract test suites, integration tests, load test scenarios, API documentation validation
- Context: API implementations from Phase 2
8. End-to-End Testing
- Use Task tool with subagent_type="test-automator"
- Prompt: "Implement E2E tests for: $ARGUMENTS. Create Playwright/Cypress tests covering critical user journeys, cross-browser compatibility, mobile responsiveness, and error scenarios. Test feature flags integration, analytics tracking, and performance metrics. Include visual regression tests."
- Expected output: E2E test suites, visual regression baselines, performance benchmarks, test reports
- Context: Frontend and backend implementations from Phase 2
9. Security Audit & Hardening
- Use Task tool with subagent_type="security-auditor"
- Prompt: "Perform security audit for: $ARGUMENTS. Review API security (authentication, authorization, rate limiting), check for OWASP Top 10 vulnerabilities, audit frontend for XSS/CSRF risks, validate input sanitization, and review secrets management. Provide penetration testing results and remediation steps."
- Expected output: Security audit report, vulnerability assessment, remediation recommendations, security headers configuration
- Context: All implementations from Phase 2
Phase 4: Deployment & Operations
10. Infrastructure & CI/CD Setup
- Use Task tool with subagent_type="deployment-engineer"
- Prompt: "Setup deployment infrastructure for: $ARGUMENTS. Create Docker containers, Kubernetes manifests (or cloud-specific configs), implement CI/CD pipelines with automated testing gates, setup feature flags (LaunchDarkly/Unleash), and configure monitoring/alerting. Include blue-green deployment strategy and rollback procedures."
- Expected output: Dockerfiles, K8s manifests, CI/CD pipeline configs, feature flag setup, IaC templates (Terraform/CloudFormation)
- Context: All implementations and tests from previous phases
11. Observability & Monitoring
- Use Task tool with subagent_type="deployment-engineer"
- Prompt: "Implement observability stack for: $ARGUMENTS. Setup distributed tracing (OpenTelemetry), configure application metrics (Prometheus/DataDog), implement centralized logging (ELK/Splunk), create dashboards for key metrics, and define SLIs/SLOs. Include alerting rules and on-call procedures."
- Expected output: Observability configuration, dashboard definitions, alert rules, runbooks, SLI/SLO definitions
- Context: Infrastructure setup from step 10
12. Performance Optimization
- Use Task tool with subagent_type="performance-engineer"
- Prompt: "Optimize performance across stack for: $ARGUMENTS. Analyze and optimize database queries, implement caching strategies (Redis/CDN), optimize frontend bundle size and loading performance, setup lazy loading and code splitting, and tune backend service performance. Include before/after metrics."
- Expected output: Performance improvements, caching configuration, CDN setup, optimized bundles, performance metrics report
- Context: Monitoring data from step 11, load test results
Configuration Options
stack: Specify technology stack (e.g., "React/FastAPI/PostgreSQL", "Next.js/Django/MongoDB")deployment_target: Cloud platform (AWS/GCP/Azure) or on-premisesfeature_flags: Enable/disable feature flag integrationapi_style: REST or GraphQLtesting_depth: Comprehensive or essentialcompliance: Specific compliance requirements (GDPR, HIPAA, SOC2)
Success Criteria
- All API contracts validated through contract tests
- Frontend and backend integration tests passing
- E2E tests covering critical user journeys
- Security audit passed with no critical vulnerabilities
- Performance metrics meeting defined SLOs
- Observability stack capturing all key metrics
- Feature flags configured for progressive rollout
- Documentation complete for all components
- CI/CD pipeline with automated quality gates
- Zero-downtime deployment capability verified
Coordination Notes
- Each phase builds upon outputs from previous phases
- Parallel tasks in Phase 2 can run simultaneously but must converge for Phase 3
- Maintain traceability between requirements and implementations
- Use correlation IDs across all services for distributed tracing
- Document all architectural decisions in ADRs
- Ensure consistent error handling and API responses across services
Feature to implement: $ARGUMENTS
How to use full-stack-orchestration-full-stack-feature on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add full-stack-orchestration-full-stack-feature
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches full-stack-orchestration-full-stack-feature from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate full-stack-orchestration-full-stack-feature. Access the skill through slash commands (e.g., /full-stack-orchestration-full-stack-feature) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★40 reviews- ★★★★★Arya Li· Dec 16, 2024
We added full-stack-orchestration-full-stack-feature from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Harper Martin· Dec 8, 2024
full-stack-orchestration-full-stack-feature has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Rahman· Dec 4, 2024
Useful defaults in full-stack-orchestration-full-stack-feature — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hiroshi Mensah· Nov 27, 2024
full-stack-orchestration-full-stack-feature fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noah Perez· Nov 23, 2024
full-stack-orchestration-full-stack-feature is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 11, 2024
Registry listing for full-stack-orchestration-full-stack-feature matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakura Flores· Nov 11, 2024
full-stack-orchestration-full-stack-feature reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sophia Haddad· Nov 7, 2024
Solid pick for teams standardizing on skills: full-stack-orchestration-full-stack-feature is focused, and the summary matches what you get after install.
- ★★★★★Arya Thomas· Nov 3, 2024
Registry listing for full-stack-orchestration-full-stack-feature matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Arya Haddad· Oct 26, 2024
full-stack-orchestration-full-stack-feature has been reliable in day-to-day use. Documentation quality is above average for community skills.
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