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Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsecurityExecute the skills CLI command in your project's root directory to begin installation:
Fetches security from alinaqi/claude-bootstrap and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate security. Access via /security in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Security best practices and automated security testing for all projects.
Security is not optional. Every project must pass security checks before merge. Assume all input is malicious, all secrets will leak if committed, and all dependencies have vulnerabilities.
Every project must have these in .gitignore:
# Environment files - NEVER commit
.env
.env.*
!.env.example
# Secrets
*.pem
*.key
*.p12
*.pfx
credentials.json
secrets.json
*-credentials.json
service-account*.json
# IDE and OS
.idea/
.vscode/settings.json
.DS_Store
Thumbs.db
# Dependencies
node_modules/
__pycache__/
*.pyc
.venv/
venv/
# Build outputs
dist/
build/
*.egg-info/
# Logs that might contain sensitive data
*.log
logs/
Create .env.example with all required vars (no values):
# .env.example - Copy to .env and fill in values
# Server-side only (NEVER prefix with VITE_ or NEXT_PUBLIC_)
DATABASE_URL=
ANTHROPIC_API_KEY=
SUPABASE_SERVICE_ROLE_KEY=
# Client-side safe (public, non-sensitive)
VITE_SUPABASE_URL=
VITE_SUPABASE_ANON_KEY=
NEVER put secrets in client-exposed env vars:
| Framework | Client-Exposed Prefix | Server-Only |
|---|---|---|
| Vite | VITE_* |
No prefix |
| Next.js | NEXT_PUBLIC_* |
No prefix |
| Create React App | REACT_APP_* |
N/A (no server) |
// WRONG - Secret exposed to browser bundle!
const apiKey = import.meta.env.VITE_ANTHROPIC_API_KEY;
// CORRECT - Only public values client-side
const supabaseUrl = import.meta.env.VITE_SUPABASE_URL;
// CORRECT - Secrets stay server-side only
// In API route or server function:
const apiKey = process.env.ANTHROPIC_API_KEY;
Vercel Environment Variables:
VITE_ prefix are server-onlyVITE_* vars are bundled into client codeValidate environment at startup:
// config/env.ts
import { z } from 'zod';
const envSchema = z.object({
DATABASE_URL: z.string().url(),
ANTHROPIC_API_KEY: z.string().min(1),
NODE_ENV: z.enum(['development', 'production', 'test']),
});
export const env = envSchema.parse(process.env);
# config/env.py
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
database_url: str
anthropic_api_key: str
environment: str = "development"
class Config:
env_file = ".env"
settings = Settings()
Add to pre-commit hooks:
For all projects:
# .pre-commit-config.yaml (add to existing)
repos:
# Detect secrets
- repo: https://github.com/Yelp/detect-secrets
rev: v1.4.0
hooks:
- id: detect-secrets
args: ['--baseline', '.secrets.baseline']
# Check for security issues in dependencies
- repo: local
hooks:
- id: security-check
name: security-check
entry: ./scripts/security-check.sh
language: script
pass_filenames: false
TypeScript/JavaScript:
// package.json scripts
{
"scripts": {
"security:audit": "npm audit --audit-level=high",
"security:secrets": "npx secretlint '**/*'",
"security:deps": "npx better-npm-audit audit"
}
}
Python:
# Add to dev dependencies
pip install safety bandit
# Commands
safety check # Check dependencies for vulnerabilities
bandit -r src/ # Static security analysis
Create scripts/security-check.sh:
#!/bin/bash
set -e
echo "Running security checks..."
# Check for secrets in staged files
echo "Checking for secrets..."
if command -v detect-secrets &> /dev/null; then
detect-secrets scan --baseline .secrets.baseline
fi
# Check .env is not staged
if git diff --cached --name-only | grep -E '^\.env$|^\.env\.' | grep -v '\.example$'; then
echo "ERROR: .env file is staged for commit!"
exit 1
fi
# Check for common secret patterns in staged files
STAGED_FILES=$(git diff --cached --name-only --diff-filter=ACM)
if echo "$STAGED_FILES" | xargs grep -l -E '(password|secret|api_key|apikey|token|private_key)\s*[:=]\s*["\047][^"\047]+["\047]' 2>/dev/null; then
echo "ERROR: Possible secrets found in staged files!"
exit 1
fi
# Language-specific checks
if [ -f "package.json" ]; then
echo "Checking npm dependencies..."
npm audit --audit-level=high || echo "Warning: npm audit found issues"
fi
if [ -f "pyproject.toml" ] || [ -f "requirements.txt" ]; then
echo "Checking Python dependencies..."
if command -v safety &> /dev/null; then
safety check || echo "Warning: safety found issues"
fi
fi
✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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Productivitysame categoryReviews
4.7★★★★★27 reviews- GGanesh Mohane★★★★★Dec 16, 2024
Registry listing for security matched our evaluation — installs cleanly and behaves as described in the markdown.
- HHarper Khan★★★★★Dec 16, 2024
security fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- YYash Thakker★★★★★Nov 15, 2024
security reduced setup friction for our internal harness; good balance of opinion and flexibility.
- SSakshi Patil★★★★★Nov 7, 2024
Keeps context tight: security is the kind of skill you can hand to a new teammate without a long onboarding doc.
- MMeera Kim★★★★★Nov 7, 2024
security is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- CChaitanya Patil★★★★★Oct 26, 2024
I recommend security for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- BBenjamin Rao★★★★★Oct 26, 2024
Solid pick for teams standardizing on skills: security is focused, and the summary matches what you get after install.
- DDhruvi Jain★★★★★Oct 6, 2024
We added security from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDaniel Kim★★★★★Sep 9, 2024
security fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- MMeera Perez★★★★★Sep 5, 2024
I recommend security for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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