feature-arch▌
pproenca/dot-skills · updated Apr 8, 2026
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Comprehensive architecture guide for organizing React applications by features, enabling scalable development with independent teams. Contains 42 rules across 8 categories, prioritized by impact from critical (directory structure, imports) to incremental (naming conventions).
Feature-Based Architecture Best Practices
Comprehensive architecture guide for organizing React applications by features, enabling scalable development with independent teams. Contains 42 rules across 8 categories, prioritized by impact from critical (directory structure, imports) to incremental (naming conventions).
When to Apply
Reference these guidelines when:
- Creating new features or modules
- Organizing project directory structure
- Setting up import rules and boundaries
- Implementing data fetching patterns
- Composing components from multiple features
- Reviewing code for architecture violations
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Directory Structure | CRITICAL | struct- |
| 2 | Import & Dependencies | CRITICAL | import- |
| 3 | Module Boundaries | HIGH | bound- |
| 4 | Data Fetching | HIGH | fquery- |
| 5 | Component Organization | MEDIUM-HIGH | fcomp- |
| 6 | State Management | MEDIUM | fstate- |
| 7 | Testing Strategy | MEDIUM | test- |
| 8 | Naming Conventions | LOW | name- |
Quick Reference
1. Directory Structure (CRITICAL)
struct-feature-folders- Organize by feature, not technical typestruct-feature-self-contained- Make features self-containedstruct-shared-layer- Use shared layer for truly generic code onlystruct-flat-hierarchy- Keep directory hierarchy flatstruct-optional-segments- Include only necessary segmentsstruct-app-layer- Separate app layer from features
2. Import & Dependencies (CRITICAL)
import-unidirectional-flow- Enforce unidirectional import flowimport-no-cross-feature- Prohibit cross-feature importsimport-public-api- Export through public API onlyimport-avoid-barrel-files- Avoid deep barrel file re-exportsimport-path-aliases- Use consistent path aliasesimport-type-only- Use type-only imports for types
3. Module Boundaries (HIGH)
bound-feature-isolation- Enforce feature isolationbound-interface-contracts- Define explicit interface contractsbound-feature-scoped-routing- Scope routing to feature concernsbound-minimize-shared-state- Minimize shared state between featuresbound-event-based-communication- Use events for cross-feature communicationbound-feature-size- Keep features appropriately sized
4. Data Fetching (HIGH)
fquery-single-responsibility- Keep query functions single-purposefquery-colocate-with-feature- Colocate data fetching with featuresfquery-parallel-fetching- Fetch independent data in parallelfquery-avoid-n-plus-one- Avoid N+1 query patternsfquery-feature-scoped-keys- Use feature-scoped query keysfquery-server-component-fetching- Fetch at server component level
5. Component Organization (MEDIUM-HIGH)
fcomp-single-responsibility- Apply single responsibility to componentsfcomp-composition-over-props- Prefer composition over prop drillingfcomp-container-presentational- Separate container and presentational concernsfcomp-props-as-data-boundary- Use props as feature boundariesfcomp-colocate-styles- Colocate styles with componentsfcomp-error-boundaries- Use feature-level error boundaries
6. State Management (MEDIUM)
fstate-feature-scoped-stores- Scope state stores to featuresfstate-server-state-separation- Separate server state from client statefstate-lift-minimally- Lift state only as high as necessaryfstate-context-sparingly- Use context sparingly for feature statefstate-reset-on-unmount- Reset feature state on unmount
7. Testing Strategy (MEDIUM)
test-colocate-with-feature- Colocate tests with featurestest-feature-isolation- Test features in isolationtest-shared-utilities- Create feature-specific test utilitiestest-integration-at-app-layer- Write integration tests at app layer
8. Naming Conventions (LOW)
name-feature-naming- Use domain-driven feature namesname-file-conventions- Use consistent file naming conventionsname-descriptive-exports- Use descriptive export names
How to Use
Read individual reference files for detailed explanations and code examples:
- Section definitions - Category structure and impact levels
- Rule template - Template for adding new rules
- Individual rules:
references/{prefix}-{slug}.md
Related Skills
- For feature planning, see
feature-specskill - For data fetching, see
tanstack-queryskill - For React component patterns, see
react-19skill
Full Compiled Document
For the complete guide with all rules expanded: AGENTS.md
How to use feature-arch 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-arch
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches feature-arch from GitHub repository pproenca/dot-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-arch. Access the skill through slash commands (e.g., /feature-arch) 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
4.6★★★★★31 reviews- ★★★★★Ganesh Mohane· Dec 20, 2024
We added feature-arch from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hana Singh· Nov 7, 2024
We added feature-arch from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★William Bhatia· Oct 26, 2024
Solid pick for teams standardizing on skills: feature-arch is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Sep 13, 2024
feature-arch fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Min Zhang· Sep 13, 2024
Registry listing for feature-arch matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Johnson· Sep 9, 2024
Useful defaults in feature-arch — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kwame Mensah· Aug 28, 2024
feature-arch has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Charlotte Shah· Aug 12, 2024
feature-arch fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Aug 4, 2024
feature-arch is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Johnson· Aug 4, 2024
Keeps context tight: feature-arch is the kind of skill you can hand to a new teammate without a long onboarding doc.
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