developer-onboarding▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
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Create comprehensive onboarding documentation that helps new developers quickly set up their development environment, understand the codebase, and start contributing effectively.
Developer Onboarding
Table of Contents
Overview
Create comprehensive onboarding documentation that helps new developers quickly set up their development environment, understand the codebase, and start contributing effectively.
When to Use
- New developer onboarding
- README file creation
- Contributing guidelines
- Development environment setup
- Architecture overview docs
- Code style guides
- Git workflow documentation
- Testing guidelines
- Deployment procedures
Quick Start
Minimal working example:
# Project Name
Brief project description (1-2 sentences explaining what this project does).
[](https://github.com/username/repo/actions)
[](https://codecov.io/gh/username/repo)
[](LICENSE)
[](https://www.npmjs.com/package/package-name)
## Table of Contents
- [Features](#features)
- [Quick Start](#quick-start)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Configuration](#configuration)
- [Development](#development)
- [Testing](#testing)
- [Deployment](#deployment)
- [Architecture](#architecture)
- [Contributing](#contributing)
- [License](#license)
## Features
// ... (see reference guides for full implementation)
```
## Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents |
|---|---|
| [Clone the Repository](references/clone-the-repository.md) | Clone the Repository, Install Dependencies |
| [Set Up Environment Variables](references/set-up-environment-variables.md) | Set Up Environment Variables |
| [Database Setup](references/database-setup.md) | Database Setup, Verify Installation |
| [Project Structure](references/project-structure.md) | Project Structure |
| [Available Scripts](references/available-scripts.md) | Available Scripts |
| [Code Style](references/code-style.md) | Code Style |
| [Git Workflow](references/git-workflow.md) | Git Workflow |
| [Running Tests](references/running-tests.md) | Running Tests |
| [Writing Tests](references/writing-tests.md) | Writing Tests |
## Best Practices
### ✅ DO
- Start with a clear, concise project description
- Include badges for build status, coverage, etc.
- Provide a quick start section
- Document all prerequisites clearly
- Include troubleshooting section
- Keep README up-to-date
- Use code examples liberally
- Add architecture diagrams
- Document environment variables
- Include contribution guidelines
- Specify code style requirements
- Document testing procedures
### ❌ DON'T
- Assume prior knowledge
- Skip prerequisite documentation
- Forget to update after major changes
- Use overly technical jargon
- Skip example code
- Ignore Windows/Mac/Linux differences
- Forget to document scripts
How to use developer-onboarding 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 developer-onboarding
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches developer-onboarding 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 developer-onboarding. Access the skill through slash commands (e.g., /developer-onboarding) 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
4.5★★★★★60 reviews- ★★★★★Michael Jain· Dec 28, 2024
We added developer-onboarding from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Johnson· Dec 24, 2024
Keeps context tight: developer-onboarding is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mateo Verma· Dec 24, 2024
We added developer-onboarding from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 16, 2024
developer-onboarding fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diego Diallo· Dec 12, 2024
Useful defaults in developer-onboarding — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Li Tandon· Dec 12, 2024
developer-onboarding has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mateo Robinson· Nov 23, 2024
Solid pick for teams standardizing on skills: developer-onboarding is focused, and the summary matches what you get after install.
- ★★★★★Aditi Smith· Nov 19, 2024
developer-onboarding reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 15, 2024
developer-onboarding has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Noor Iyer· Nov 15, 2024
I recommend developer-onboarding for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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