msw

pproenca/dot-skills · updated Apr 8, 2026

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$npx skills add https://github.com/pproenca/dot-skills --skill msw
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summary

Comprehensive API mocking guide for MSW v2 applications, designed for AI agents and LLMs. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

skill.md

MSW Best Practices

Comprehensive API mocking guide for MSW v2 applications, designed for AI agents and LLMs. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Setting up MSW for testing or development
  • Writing or organizing request handlers
  • Configuring test environments with MSW
  • Mocking REST or GraphQL APIs
  • Debugging handler matching issues
  • Testing error states and edge cases

Rule Categories by Priority

Priority Category Impact Prefix
1 Setup & Initialization CRITICAL setup-
2 Handler Architecture CRITICAL handler-
3 Test Integration HIGH test-
4 Response Patterns HIGH response-
5 Request Matching MEDIUM-HIGH match-
6 GraphQL Mocking MEDIUM graphql-
7 Advanced Patterns MEDIUM advanced-
8 Debugging & Performance LOW debug-

Quick Reference

1. Setup & Initialization (CRITICAL)

  • setup-server-node-entrypoint - Use correct entrypoint for Node.js (msw/node)
  • setup-lifecycle-hooks - Configure server lifecycle in test setup
  • setup-worker-script-commit - Commit worker script to version control
  • setup-node-version - Require Node.js 18+ for MSW v2
  • setup-unhandled-requests - Configure unhandled request behavior
  • setup-typescript-config - Configure TypeScript for MSW v2

2. Handler Architecture (CRITICAL)

  • handler-happy-path-first - Define happy path handlers as baseline
  • handler-domain-grouping - Group handlers by domain
  • handler-absolute-urls - Use absolute URLs in handlers
  • handler-shared-resolvers - Extract shared response logic into resolvers
  • handler-v2-response-syntax - Use MSW v2 response syntax
  • handler-request-body-parsing - Explicitly parse request bodies
  • handler-resolver-argument - Destructure resolver arguments correctly
  • handler-reusability-environments - Share handlers across environments

3. Test Integration (HIGH)

  • test-reset-handlers - Reset handlers after each test
  • test-avoid-request-assertions - Avoid direct request assertions
  • test-concurrent-boundary - Use server.boundary() for concurrent tests
  • test-fake-timers-config - Configure fake timers to preserve queueMicrotask
  • test-async-utilities - Use async testing utilities for mock responses
  • test-clear-request-cache - Clear request library caches between tests
  • test-jsdom-environment - Use correct JSDOM environment for Jest

4. Response Patterns (HIGH)

  • response-http-response-helpers - Use HttpResponse static methods
  • response-delay-realistic - Add realistic response delays
  • response-error-simulation - Simulate error responses correctly
  • response-one-time-handlers - Use one-time handlers for sequential scenarios
  • response-custom-headers - Set response headers correctly
  • response-streaming - Mock streaming responses with ReadableStream

5. Request Matching (MEDIUM-HIGH)

  • match-url-patterns - Use URL path parameters correctly
  • match-query-params - Access query parameters from request URL
  • match-custom-predicate - Use custom predicates for complex matching
  • match-http-methods - Match HTTP methods explicitly
  • match-handler-order - Order handlers from specific to general

6. GraphQL Mocking (MEDIUM)

  • graphql-operation-handlers - Use operation name for GraphQL matching
  • graphql-error-responses - Return GraphQL errors in correct format
  • graphql-batched-queries - Handle batched GraphQL queries
  • graphql-variables-access - Access GraphQL variables correctly

7. Advanced Patterns (MEDIUM)

  • advanced-bypass-requests - Use bypass() for passthrough requests
  • advanced-cookies-auth - Handle cookies and authentication
  • advanced-dynamic-scenarios - Implement dynamic mock scenarios
  • advanced-vitest-browser - Configure MSW for Vitest browser mode
  • advanced-file-uploads - Mock file upload endpoints

8. Debugging & Performance (LOW)

  • debug-lifecycle-events - Use lifecycle events for debugging
  • debug-verify-interception - Verify request interception is working
  • debug-common-issues - Know common MSW issues and fixes
  • debug-request-logging - Log request details for debugging

How to Use

Read individual reference files for detailed explanations and code examples:

Related Skills

  • For generating MSW mocks from OpenAPI, see orval skill
  • For consuming mocked APIs, see tanstack-query skill
  • For test methodology, see test-vitest or test-tdd skills

Full Compiled Document

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

how to use msw

How to use msw on Cursor

AI-first code editor with Composer

1

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 msw
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/pproenca/dot-skills --skill msw

The skills CLI fetches msw from GitHub repository pproenca/dot-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/msw

Reload or restart Cursor to activate msw. Access the skill through slash commands (e.g., /msw) 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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.672 reviews
  • Jin Torres· Dec 28, 2024

    Registry listing for msw matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Farah· Dec 24, 2024

    Keeps context tight: msw is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chinedu Taylor· Dec 20, 2024

    msw has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chaitanya Patil· Dec 12, 2024

    Keeps context tight: msw is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Yang· Dec 8, 2024

    msw fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Luis Agarwal· Dec 8, 2024

    Useful defaults in msw — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Camila Ndlovu· Nov 27, 2024

    Registry listing for msw matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Min Rahman· Nov 19, 2024

    Useful defaults in msw — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aanya Tandon· Nov 15, 2024

    msw has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ren Tandon· Nov 11, 2024

    Keeps context tight: msw is the kind of skill you can hand to a new teammate without a long onboarding doc.

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