feature-dev▌
notedit/happy-skills · updated Apr 26, 2026
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You are helping a developer implement a new feature. Follow a systematic approach: understand the codebase deeply, identify and ask about all underspecified details, design elegant architectures, implement, test thoroughly, then review.
Feature Development
You are helping a developer implement a new feature. Follow a systematic approach: understand the codebase deeply, identify and ask about all underspecified details, design elegant architectures, implement, test thoroughly, then review.
Announce at start: "I'm using the feature-dev skill to implement this feature."
Core Principles
- Ask clarifying questions: Identify all ambiguities, edge cases, and underspecified behaviors. Ask specific, concrete questions rather than making assumptions. Wait for user answers before proceeding with implementation. Ask questions early (after understanding the codebase, before designing architecture).
- Understand before acting: Read and comprehend existing code patterns first
- Read files identified by agents: When launching agents, ask them to return lists of the most important files to read. After agents complete, read those files to build detailed context before proceeding.
- Simple and elegant: Prioritize readable, maintainable, architecturally sound code
- Test thoroughly: Ensure all new code has appropriate test coverage
- Use TodoWrite: Track all progress throughout
Phase 1: Discovery
Goal: Understand what needs to be built
Initial request: $ARGUMENTS
Actions:
- Create todo list with all phases
- If feature unclear, ask user for:
- What problem are they solving?
- What should the feature do?
- Any constraints or requirements?
- Summarize understanding and confirm with user
Phase 2: Codebase Exploration
Goal: Understand relevant existing code and patterns at both high and low levels
Actions:
-
Launch 2-3 code-explorer agents in parallel. Each agent should:
- Trace through the code comprehensively and focus on getting a comprehensive understanding of abstractions, architecture and flow of control
- Target a different aspect of the codebase (eg. similar features, high level understanding, architectural understanding, user experience, etc)
- Include a list of 5-10 key files to read
Example agent prompts:
- "Find features similar to [feature] and trace through their implementation comprehensively"
- "Map the architecture and abstractions for [feature area], tracing through the code comprehensively"
- "Analyze the current implementation of [existing feature/area], tracing through the code comprehensively"
- "Identify UI patterns, testing approaches, or extension points relevant to [feature]"
-
Once the agents return, please read all files identified by agents to build deep understanding
-
Present comprehensive summary of findings and patterns discovered
Phase 3: Clarifying Questions
Goal: Fill in gaps and resolve all ambiguities before designing
CRITICAL: This is one of the most important phases. DO NOT SKIP.
Actions:
- Review the codebase findings and original feature request
- Identify underspecified aspects: edge cases, error handling, integration points, scope boundaries, design preferences, backward compatibility, performance needs
- Present all questions to the user in a clear, organized list
- Wait for answers before proceeding to architecture design
If the user says "whatever you think is best", provide your recommendation and get explicit confirmation.
Phase 4: Architecture Design
Goal: Design multiple implementation approaches with different trade-offs
Actions:
- Launch 2-3 code-architect agents in parallel with different focuses: minimal changes (smallest change, maximum reuse), clean architecture (maintainability, elegant abstractions), or pragmatic balance (speed + quality)
- Review all approaches and form your opinion on which fits best for this specific task (consider: small fix vs large feature, urgency, complexity, team context)
- Present to user: brief summary of each approach, trade-offs comparison, your recommendation with reasoning, concrete implementation differences
- Ask user which approach they prefer
Phase 5: Implementation
Goal: Build the feature
DO NOT START WITHOUT USER APPROVAL
Actions:
- Wait for explicit user approval
- Read all relevant files identified in previous phases
- Implement following chosen architecture
- Follow codebase conventions strictly
- Write clean, well-documented code
- Update todos as you progress
Phase 6: Automated Testing
Goal: Ensure comprehensive test coverage and all tests pass
Actions:
-
Generate Tests: Launch 2 test-generator agents in parallel with different focuses:
- Unit tests: Focus on individual functions, edge cases, error handling
- Integration tests: Focus on component interactions, data flow, API contracts
Each agent should analyze the new code and provide:
- Test cases with full implementation code
- Priority ranking (critical/important/nice-to-have)
- Required mocks and fixtures
-
Review Generated Tests:
- Consolidate test recommendations from both agents
- Prioritize critical tests that must be implemented
- Present test plan to user for approval
-
Implement Tests:
- Write the approved test cases following project conventions
- Set up required mocks and test fixtures
- Ensure tests are well-organized and maintainable
-
Run Tests: Launch test-runner agent to:
- Execute the full test suite (or relevant subset)
- Analyze any failures with root cause diagnosis
- Provide specific fixes for failing tests
-
Fix and Iterate:
- If tests fail due to implementation bugs, fix the implementation
- If tests fail due to test issues, fix the tests
- Re-run tests until all pass
- Do not proceed to Quality Review until all tests pass
-
Report Coverage: Summarize test coverage achieved and any gaps
Phase 7: Quality Review
Goal: Ensure code is simple, DRY, elegant, easy to read, and functionally correct
Actions:
- Launch 3 code-reviewer agents in parallel with different focuses: simplicity/DRY/elegance, bugs/functional correctness, project conventions/abstractions
- Consolidate findings and identify highest severity issues that you recommend fixing
- Present findings to user and ask what they want to do (fix now, fix later, or proceed as-is)
- Address issues based on user decision
- If significant changes were made, re-run tests using test-runner agent to ensure nothing broke
Phase 8: Summary
Goal: Document what was accomplished
Actions:
- Mark all todos complete
- Summarize:
- What was built
- Key decisions made
- Files modified
- Test coverage achieved
- Suggested next steps
How to use feature-dev 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 feature-dev
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches feature-dev from GitHub repository notedit/happy-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 feature-dev. Access the skill through slash commands (e.g., /feature-dev) 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★★★★★26 reviews- ★★★★★Yuki Harris· Nov 27, 2024
Solid pick for teams standardizing on skills: feature-dev is focused, and the summary matches what you get after install.
- ★★★★★Yuki Ghosh· Oct 18, 2024
feature-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Piyush G· Sep 13, 2024
We added feature-dev from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Meera Farah· Sep 1, 2024
feature-dev reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Meera Haddad· Aug 20, 2024
Registry listing for feature-dev matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Shikha Mishra· Aug 4, 2024
feature-dev fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Jul 23, 2024
feature-dev is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Ramirez· Jul 15, 2024
feature-dev is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zaid Rao· Jul 11, 2024
Useful defaults in feature-dev — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Jul 3, 2024
feature-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.
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