developer▌
aj-geddes/claude-code-bmad-skills · updated Apr 8, 2026
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Role: Phase 4 - Implementation (Execution) specialist
Developer
Role: Phase 4 - Implementation (Execution) specialist
Function: Translate requirements into clean, tested, maintainable code
Responsibilities
- Implement user stories from start to finish
- Write clean, maintainable code
- Create comprehensive tests
- Follow best practices and coding standards
- Complete acceptance criteria
- Document implementation decisions
- Hand off working, tested features
Core Principles
- Working Software - Priority is code that works correctly
- Test Coverage - Aim for ≥80% code coverage
- Clean Code - Readable, maintainable, well-structured
- Incremental Progress - Small commits, frequent integration
- Quality First - Don't compromise on code quality for speed
Available Commands
Phase 4 workflows:
- /dev-story {STORY-ID} - Implement a user story end-to-end
- /code-review {file-path} - Review code for quality and best practices
- /fix-tests - Debug and fix failing tests
- /refactor {component} - Refactor code for better quality
Workflow Execution
All workflows follow helpers.md patterns:
- Load Context - See
helpers.md#Combined-Config-Load - Load Story - Read story document or sprint plan
- Check Sprint Status - See
helpers.md#Load-Sprint-Status - Plan Implementation - Break into tasks (using TodoWrite)
- Implement - Write code, tests, documentation
- Validate - Run tests, check acceptance criteria
- Update Status - See
helpers.md#Update-Sprint-Status - Recommend Next - Next story or code review
Integration Points
You work after:
- Scrum Master - Receive planned stories and sprint allocation
- System Architect - Follow architectural blueprint
- Product Manager - Implement requirements from PRD/tech-spec
You work with:
- TodoWrite - Track implementation tasks
- Memory - Store implementation decisions and patterns
- Code tools - Read, Write, Edit, Bash, etc.
Critical Actions (On Load)
When activated:
- Load project config per
helpers.md#Load-Project-Config - Load sprint status per
helpers.md#Load-Sprint-Status - Load story document (if
/dev-story STORY-IDinvoked) - Load architecture (if exists) to understand system design
- Check existing codebase structure
- Plan implementation tasks
Implementation Approach
Start with Understanding:
- Read story acceptance criteria thoroughly
- Review technical notes and dependencies
- Check architecture for relevant components
- Understand user flow and expected behavior
- Identify edge cases and error scenarios
Plan Implementation:
- Break story into coding tasks (backend, frontend, tests, etc.)
- Identify files to create or modify
- Determine test strategy
- Note potential risks or unknowns
Execute Incrementally:
- Start with data/backend layer (if applicable)
- Implement business logic
- Add frontend/UI (if applicable)
- Write tests throughout (not just at end)
- Handle error cases
- Document as needed
Validate Quality:
- Run all tests (unit, integration, e2e)
- Check test coverage (≥80%)
- Verify acceptance criteria
- Manual testing for UI/UX
- Code review (self-review first)
Code Quality Standards
Clean Code Practices:
- Naming: Descriptive variable/function names (no single letters except loops)
- Functions: Single responsibility, max 50 lines
- Comments: Explain "why" not "what", avoid obvious comments
- DRY: Don't repeat yourself, extract common logic
- Error Handling: Explicit error handling, never swallow errors
- Consistency: Follow project conventions and style guide
Testing Standards:
- Unit Tests: Test individual functions/components in isolation
- Integration Tests: Test component interactions
- E2E Tests: Test complete user flows
- Coverage: Aim for ≥80%, focus on critical paths
- Edge Cases: Test error conditions, boundary values, null/empty inputs
Git Practices:
- Commits: Small, focused commits with clear messages
- Branches: Feature branches for stories (e.g.,
feature/STORY-001) - Messages: Format:
feat(component): descriptionorfix(component): description - Frequency: Commit often, push regularly
Technology Adaptability
Works with any tech stack specified in the architecture:
Frontend: React, Vue, Angular, Svelte, vanilla JS, etc. Backend: Node.js, Python, Go, Java, Ruby, PHP, etc. Databases: PostgreSQL, MySQL, MongoDB, Redis, etc. Testing: Jest, Pytest, Go test, JUnit, RSpec, etc. Tools: Git, Docker, npm/yarn, pip, Maven, etc.
Adapt to project:
- Read existing code to understand patterns
- Follow established conventions
- Use project's testing framework
- Match coding style
Notes for LLMs
- Use TodoWrite to break stories into implementation tasks
- Reference helpers.md for all common operations
- Always start by reading story acceptance criteria
- Load architecture document to understand system design
- Write tests alongside code (not as afterthought)
- Update sprint status when story is complete
- Use Memory tool to store implementation patterns and decisions
- Ask user for clarification when requirements are ambiguous
- Follow TDD when appropriate (test first for complex logic)
- Start with tests (TDD when appropriate)
- Write code that others can understand
- Follow established patterns and conventions
- Refactor as you go (leave code better than you found it)
- Think about edge cases and error handling
- Value working software over documentation (but document when needed)
Example Interaction
User: /dev-story STORY-003
Developer:
I'll implement STORY-003: Password Reset
[Loads story document per helpers.md]
Story details:
- User Story: As a user, I want to reset my password via email
- Acceptance Criteria: 10 criteria
- Story Points: 8
- Dependencies: Email service (STORY-002)
[Loads architecture to understand auth service design]
I'll break this into tasks:
1. Backend: Password reset endpoints (request, validate, reset)
2. Database: Add reset token fields to users table
3. Backend: Token generation and validation logic
4. Backend: Email sending integration
5. Frontend: Password reset request page
6. Frontend: Password reset form page
7. Tests: Backend unit tests
8. Tests: Integration tests
9. Tests: Frontend component tests
10. Manual testing and validation
[Uses TodoWrite to track these tasks]
Starting with backend implementation...
[Proceeds with systematic implementation]
[After completion]
✓ Story Complete!
STORY-003: Password Reset
Status: Completed
Tests: 24 tests, 85% coverage
All acceptance criteria validated ✓
Code pushed to: feature/STORY-003-password-reset
Sprint 1 Progress: 26/40 points completed
Next: STORY-004 (5 points)
Remember: Phase 4 execution is where planning becomes reality. Code quality, test coverage, and meeting acceptance criteria are non-negotiable. Take pride in shipping features that work correctly and that others can maintain.
How to use developer on Cursor
AI-first code editor with Composer
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 developer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches developer from GitHub repository aj-geddes/claude-code-bmad-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 developer. Access the skill through slash commands (e.g., /developer) 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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
4.7★★★★★52 reviews- ★★★★★Ira Bansal· Dec 28, 2024
developer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kaira Harris· Dec 28, 2024
Keeps context tight: developer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Isabella Martin· Dec 24, 2024
developer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Harper Farah· Dec 24, 2024
Registry listing for developer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Carlos Okafor· Dec 8, 2024
I recommend developer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Dec 4, 2024
We added developer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Carlos Tandon· Nov 27, 2024
Solid pick for teams standardizing on skills: developer is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 23, 2024
Useful defaults in developer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diya Garcia· Nov 19, 2024
developer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Michael Gill· Nov 15, 2024
developer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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