piv-speckit

🥈Silver

PIV Spec-Kit is a structured framework for AI-assisted development. It combines Prime-Implement-Validate methodology with strict Test-Driven Development. Benefits developers by ensuring high code quality and reducing errors. Integrates with Claude AI for code generation and validation. Suitable for Node.js, Python, React, and Spring Boot projects.

2420Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/galando/piv-speckit.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/galando/piv-speckit

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using the PIV Spec-Kit framework, create a [COMPONENT] for a [PROJECT] in [LANGUAGE]. Follow these steps: 1) Prime: Define the requirements and acceptance criteria. 2) Implement: Generate the code using AI assistance. 3) Validate: Write and run tests to ensure the code meets the criteria. Provide the code and test cases.

Example Output

# PIV Spec-Kit Implementation for User Authentication Service

## Prime
- **Requirements**:
  - Users must be able to register with email and password
  - Users must be able to log in with email and password
  - Passwords must be hashed before storage
  - Users must be able to reset their password via email
- **Acceptance Criteria**:
  - All user data must be validated before processing
  - All user inputs must be sanitized to prevent XSS attacks
  - All database queries must use parameterized queries

## Implement
```python
# User model
class User:
    def __init__(self, email, password):
        self.email = email
        self.password = self._hash_password(password)

    def _hash_password(self, password):
        # Hashing logic here
        return hashed_password

# Authentication service
class AuthService:
    def register(self, email, password):
        # Registration logic here
        return user

    def login(self, email, password):
        # Login logic here
        return user or None

    def reset_password(self, email):
        # Password reset logic here
        return success or failure
```

## Validate
```python
# Test cases
import unittest
from auth_service import AuthService

class TestAuthService(unittest.TestCase):
    def setUp(self):
        self.service = AuthService()

    def test_register(self):
        user = self.service.register('test@example.com', 'password123')
        self.assertIsNotNone(user)
        self.assertEqual(user.email, 'test@example.com')

    def test_login(self):
        self.service.register('test@example.com', 'password123')
        user = self.service.login('test@example.com', 'password123')
        self.assertIsNotNone(user)

    def test_reset_password(self):
        self.service.register('test@example.com', 'password123')
        success = self.service.reset_password('test@example.com')
        self.assertTrue(success)
```