api-authentication▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
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Implement comprehensive authentication strategies for APIs including JWT tokens, OAuth 2.0, API keys, and session management with proper security practices.
API Authentication
Table of Contents
Overview
Implement comprehensive authentication strategies for APIs including JWT tokens, OAuth 2.0, API keys, and session management with proper security practices.
When to Use
- Securing API endpoints
- Implementing user login/logout flows
- Managing access tokens and refresh tokens
- Integrating OAuth 2.0 providers
- Protecting sensitive data
- Implementing API key authentication
Quick Start
Minimal working example:
// Node.js JWT Implementation
const express = require('express');
const jwt = require('jsonwebtoken');
const bcrypt = require('bcrypt');
const app = express();
const SECRET_KEY = process.env.JWT_SECRET || 'your-secret-key';
const REFRESH_SECRET = process.env.REFRESH_SECRET || 'your-refresh-secret';
// User login endpoint
app.post('/api/auth/login', async (req, res) => {
try {
const { email, password } = req.body;
// Find user in database
const user = await User.findOne({ email });
if (!user) {
return res.status(401).json({ error: 'Invalid credentials' });
}
// Verify password
const isValid = await bcrypt.compare(password, user.password);
if (!isValid) {
return res.status(401).json({ error: 'Invalid credentials' });
}
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| JWT Authentication | JWT Authentication |
| OAuth 2.0 Implementation | OAuth 2.0 Implementation |
| API Key Authentication | API Key Authentication |
| Python Authentication Implementation | Python Authentication Implementation |
Best Practices
✅ DO
- Use HTTPS for all authentication
- Store tokens securely (HttpOnly cookies)
- Implement token refresh mechanism
- Set appropriate token expiration times
- Hash and salt passwords
- Use strong secret keys
- Validate tokens on every request
- Implement rate limiting on auth endpoints
- Log authentication attempts
- Rotate secrets regularly
❌ DON'T
- Store passwords in plain text
- Send tokens in URL parameters
- Use weak secret keys
- Store sensitive data in JWT payload
- Ignore token expiration
- Disable HTTPS in production
- Log sensitive tokens
- Reuse API keys across services
- Store credentials in code
How to use api-authentication 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 api-authentication
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches api-authentication 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 api-authentication. Access the skill through slash commands (e.g., /api-authentication) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★62 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
api-authentication fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mia Okafor· Dec 24, 2024
We added api-authentication from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Arya Ghosh· Dec 24, 2024
Registry listing for api-authentication matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Lucas Lopez· Dec 20, 2024
Solid pick for teams standardizing on skills: api-authentication is focused, and the summary matches what you get after install.
- ★★★★★Shikha Mishra· Dec 16, 2024
Useful defaults in api-authentication — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noah Malhotra· Dec 8, 2024
I recommend api-authentication for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Omar Srinivasan· Dec 8, 2024
Keeps context tight: api-authentication is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Johnson· Nov 27, 2024
Solid pick for teams standardizing on skills: api-authentication is focused, and the summary matches what you get after install.
- ★★★★★Noah Khanna· Nov 15, 2024
Keeps context tight: api-authentication is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mia Mensah· Nov 11, 2024
I recommend api-authentication for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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