vibe-spec

🥈Silver

Generate detailed specifications from Claude Code session logs. Ideal for developers and operations teams to document coding processes. Connects to Claude Code sessions, outputs structured specifications.

1900Updated Yesterday

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/marmelab/vibe-spec.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/marmelab/vibe-spec

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

Analyze the following Claude Code session logs and generate a detailed specification document. Focus on the [COMPANY] project named [PROJECT_NAME] in the [INDUSTRY] sector. Include all relevant technical details, dependencies, and workflow steps. Ensure the output is structured and easy to follow.

Example Output

# Project Specification: [PROJECT_NAME]

## Overview
- **Company**: [COMPANY]
- **Industry**: [INDUSTRY]
- **Project Lead**: [PROJECT_LEAD]
- **Start Date**: [START_DATE]
- **Completion Date**: [COMPLETION_DATE]

## Technical Details
### Dependencies
- **Language**: Python 3.9
- **Frameworks**: Django 3.2, React 17
- **Database**: PostgreSQL 12
- **Cloud Services**: AWS EC2, S3

### Workflow Steps
1. **Initial Setup**:
   - Configured development environment with virtualenv.
   - Installed necessary dependencies using pip.
2. **Database Schema Design**:
   - Designed relational schema for user management and product catalog.
   - Implemented migrations using Django's migration framework.
3. **API Development**:
   - Developed RESTful APIs for user authentication and product management.
   - Implemented JWT-based authentication.
4. **Frontend Integration**:
   - Integrated React frontend with Django backend.
   - Implemented responsive design using Bootstrap.
5. **Testing and Deployment**:
   - Conducted unit and integration testing.
   - Deployed application to AWS EC2 instances.

## Additional Notes
- **Challenges**:
  - Initial issues with database connection pooling resolved by optimizing connection settings.
  - Frontend performance improved by implementing lazy loading for product images.
- **Future Enhancements**:
  - Plan to integrate payment gateway for e-commerce functionality.
  - Consider implementing caching layer for frequently accessed data.