mocking-stubbing▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
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Mocking and stubbing are essential techniques for isolating units of code during testing by replacing dependencies with controlled test doubles. This enables fast, reliable, and focused unit tests that don't depend on external systems like databases, APIs, or file systems.
Mocking and Stubbing
Table of Contents
Overview
Mocking and stubbing are essential techniques for isolating units of code during testing by replacing dependencies with controlled test doubles. This enables fast, reliable, and focused unit tests that don't depend on external systems like databases, APIs, or file systems.
When to Use
- Isolating unit tests from external dependencies
- Testing code that depends on slow operations (DB, network)
- Simulating error conditions and edge cases
- Verifying interactions between objects
- Testing code with non-deterministic behavior (time, randomness)
- Avoiding expensive operations in tests
- Testing error handling without triggering real failures
Quick Start
Minimal working example:
// services/UserService.ts
import { UserRepository } from "./UserRepository";
import { EmailService } from "./EmailService";
export class UserService {
constructor(
private userRepository: UserRepository,
private emailService: EmailService,
) {}
async createUser(userData: CreateUserDto) {
const user = await this.userRepository.create(userData);
await this.emailService.sendWelcomeEmail(user.email, user.name);
return user;
}
async getUserStats(userId: string) {
const user = await this.userRepository.findById(userId);
if (!user) throw new Error("User not found");
const orderCount = await this.userRepository.getOrderCount(userId);
return { ...user, orderCount };
}
}
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Jest Mocking (JavaScript/TypeScript) | Jest Mocking (JavaScript/TypeScript) |
| Python Mocking with unittest.mock | Python Mocking with unittest.mock |
| Mockito for Java | Mockito for Java |
| Advanced Mocking Patterns | Advanced Mocking Patterns |
Best Practices
✅ DO
- Mock external dependencies (DB, API, file system)
- Use dependency injection for easier mocking
- Verify important interactions with mocks
- Reset mocks between tests
- Mock at the boundary (repositories, services)
- Use spies for partial mocking when needed
- Create reusable mock factories
- Test both success and failure scenarios
❌ DON'T
- Mock everything (don't mock what you own)
- Over-specify mock interactions
- Use mocks in integration tests
- Mock simple utility functions
- Create complex mock hierarchies
- Forget to verify mock calls
- Share mocks between tests
- Mock just to make tests pass
How to use mocking-stubbing 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 mocking-stubbing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches mocking-stubbing from GitHub repository aj-geddes/useful-ai-prompts 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 mocking-stubbing. Access the skill through slash commands (e.g., /mocking-stubbing) 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
4.4★★★★★69 reviews- ★★★★★Chinedu Agarwal· Dec 8, 2024
I recommend mocking-stubbing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Dec 4, 2024
Useful defaults in mocking-stubbing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yuki Martinez· Dec 4, 2024
Solid pick for teams standardizing on skills: mocking-stubbing is focused, and the summary matches what you get after install.
- ★★★★★Tariq Ndlovu· Dec 4, 2024
Keeps context tight: mocking-stubbing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Zara Agarwal· Nov 27, 2024
Solid pick for teams standardizing on skills: mocking-stubbing is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Nov 23, 2024
mocking-stubbing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Haddad· Nov 23, 2024
I recommend mocking-stubbing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kiara Okafor· Nov 23, 2024
Registry listing for mocking-stubbing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yusuf Verma· Nov 11, 2024
Useful defaults in mocking-stubbing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dev Lopez· Nov 7, 2024
We added mocking-stubbing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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