MCPInstall

feature-arch

React feature-based architecture guidelines for scalable applications. This skill should be used when writing, reviewing, or refactoring React code to ensure proper feature organization. When invoked on a project, the agent produces a concrete target-architecture blueprint at docs/architecture/FEATURE-ARCH-TARGET.md showing the desired directory tree, per-feature public APIs, import-boundary matrix, and a numbered migration plan. Triggers on tasks involving project structure, feature organization, module boundaries, cross-feature imports, data fetching patterns, or component composition.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/pproenca/dot-skills --skill feature-arch
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads feature-arch automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Feature-Based Architecture Best Practices

Comprehensive architecture guide for organizing React applications by features, enabling scalable development with independent teams. Contains 43 rules across 8 categories, prioritized by impact from critical (directory structure, imports) to incremental (naming conventions). When invoked on a real project, the skill produces a project-specific blueprint that anchors every decision in those rules.

Primary Output: The Target Architecture Blueprint

When an agent invokes this skill on a real project, the deliverable is a single markdown file persisted at docs/architecture/FEATURE-ARCH-TARGET.md (or the repo's existing docs location). The blueprint contains:

  1. Project context — framework, state libraries, routing model, current shape.
  2. Identified features — confirmed with the user, sourced from routes, docs, openspec, and code clusters.
  3. Target directory tree — literal paths, not pseudo-trees.
  4. Per-feature public APIs — exact named exports of each index.ts.
  5. Import-boundary matrix — N×N table of feature relationships (allowed / forbidden / via app / via events).
  6. State & data ownership — server-state and client-state owner per feature.
  7. Cross-feature communication policy — composition, events, or shared slice — with rationale.
  8. Numbered migration plan — file-level move/create/delete steps with S/M/L effort estimates.
  9. Human conformance checklist — for code review and "definition of done".
  10. Open questions — anything that needs a human decision before migration.

Every section cites the specific rules below that govern its decisions, so the blueprint stays a projection of this skill — not a parallel authority.

How the agent generates the blueprint

Follow the process in references/_blueprint-process.md. Summary:

  1. Gather context (package.json, src/ tree, README, CLAUDE.md, openspec/).
  2. Identify candidate features from routes, docs, and code clusters.
  3. Confirm the feature list with the user via AskUserQuestion.
  4. Record explicit decisions (layer model, comm mechanism, state/routing owner).
  5. Fill in assets/templates/feature-arch-target.md.template — every {{placeholder}} replaced with a literal project value.
  6. Hand off: print path, summarise feature/step counts, list top-3 risks, suggest next action. Do not start executing migration steps in the same turn.

For very small projects (under ~10 source files), produce a one-page seed structure instead and note that a full blueprint should follow after the 2nd–3rd feature exists.

When to Apply

Reference these guidelines when:

  • A project asks for a feature-based architecture target (generate the blueprint).
  • 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

PriorityCategoryImpactPrefix
1Directory StructureCRITICALstruct-
2Import & DependenciesCRITICALimport-
3Module BoundariesHIGHbound-
4Data FetchingHIGHfquery-
5Component OrganizationMEDIUM-HIGHfcomp-
6State ManagementMEDIUMfstate-
7Testing StrategyMEDIUMtest-
8Naming ConventionsLOWname-

Quick Reference

1. Directory Structure (CRITICAL)

  • struct-feature-folders - Organize by feature, not technical type
  • struct-feature-self-contained - Make features self-contained
  • struct-shared-layer - Use shared layer for truly generic code only
  • struct-flat-hierarchy - Keep directory hierarchy flat
  • struct-optional-segments - Include only necessary segments
  • struct-app-layer - Separate app layer from features
  • struct-domain-folders - Group features into domains at large scale

2. Import & Dependencies (CRITICAL)

  • import-unidirectional-flow - Enforce unidirectional import flow
  • import-no-cross-feature - Prohibit cross-feature imports
  • import-public-api - Export through public API only
  • import-avoid-barrel-files - Avoid deep barrel file re-exports
  • import-path-aliases - Use consistent path aliases
  • import-type-only - Use type-only imports for types

3. Module Boundaries (HIGH)

  • bound-feature-isolation - Enforce feature isolation
  • bound-interface-contracts - Define explicit interface contracts
  • bound-feature-scoped-routing - Scope routing to feature concerns
  • bound-minimize-shared-state - Minimize shared state between features
  • bound-event-based-communication - Use events for cross-feature communication
  • bound-feature-size - Keep features appropriately sized

4. Data Fetching (HIGH)

  • fquery-single-responsibility - Keep query functions single-purpose
  • fquery-colocate-with-feature - Colocate data fetching with features
  • fquery-parallel-fetching - Fetch independent data in parallel
  • fquery-avoid-n-plus-one - Avoid N+1 query patterns
  • fquery-feature-scoped-keys - Use feature-scoped query keys
  • fquery-server-component-fetching - Fetch at server component level

5. Component Organization (MEDIUM-HIGH)

  • fcomp-single-responsibility - Apply single responsibility to components
  • fcomp-composition-over-props - Prefer composition over prop drilling
  • fcomp-container-presentational - Separate container and presentational concerns
  • fcomp-props-as-data-boundary - Use props as feature boundaries
  • fcomp-colocate-styles - Colocate styles with components
  • fcomp-error-boundaries - Use feature-level error boundaries

6. State Management (MEDIUM)

  • fstate-feature-scoped-stores - Scope state stores to features
  • fstate-server-state-separation - Separate server state from client state
  • fstate-lift-minimally - Lift state only as high as necessary
  • fstate-context-sparingly - Use context sparingly for feature state
  • fstate-reset-on-unmount - Reset feature state on unmount

7. Testing Strategy (MEDIUM)

  • test-colocate-with-feature - Colocate tests with features
  • test-feature-isolation - Test features in isolation
  • test-shared-utilities - Create feature-specific test utilities
  • test-integration-at-app-layer - Write integration tests at app layer

8. Naming Conventions (LOW)

  • name-feature-naming - Use domain-driven feature names
  • name-file-conventions - Use consistent file naming conventions
  • name-descriptive-exports - Use descriptive export names

How to Use

Read individual reference files for detailed explanations and code examples:

  • Blueprint process - How to derive a project-specific target architecture
  • Blueprint template - Template the agent fills in to produce the end-state document
  • 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-spec skill
  • For data fetching, see tanstack-query skill
  • For React component patterns, see react-19 skill

Full Compiled Document

For the complete guide with all rules expanded: AGENTS.md

FAQ

What does the feature-arch skill do?

React feature-based architecture guidelines for scalable applications. This skill should be used when writing, reviewing, or refactoring React code to ensure proper feature organization. When invoked on a project, the agent produces a concrete target-architecture blueprint at docs/architecture/FEATURE-ARCH-TARGET.md showing the desired directory tree, per-feature public APIs, import-boundary matrix, and a numbered migration plan. Triggers on tasks involving project structure, feature organization, module boundaries, cross-feature imports, data fetching patterns, or component composition.

How do I install feature-arch?

Run npx skills add https://github.com/pproenca/dot-skills --skill feature-arch in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/feature-arch/ (personal) or .claude/skills/feature-arch/ (project).

Which AI agents can use feature-arch?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is feature-arch safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains feature-arch?

It is published by pproenca in pproenca/dot-skills. It has 415 recorded installs.

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