primadata-marketplace

🥈Silver

Primadata Marketplace is a comprehensive software development ecosystem with 38 agents and 32 skills. It automates coding tasks, integrates with MCP servers, and supports browser automation. Ideal for operations teams to streamline software development workflows.

500Updated 4mo ago

Intermediate30min to implementautomation

Saves ~360 min per use

Quick InstallView Source

git clone https://github.com/Primadetaautomation/primadata-marketplace.git

Works with:

Claude

Overview

About This Skill

Primadata Development Marketplace v1.6 is a complete Claude Code development ecosystem combining 45+ specialized agents and 41+ skills for modern software development. It includes agents for fullstack development, backend and frontend specialization, database architecture, testing, security, DevOps, and data engineering. The marketplace provides official Anthropic skills for skill development, MCP server integrations with Cloudflare, Notion, and Gemini, browser automation via Chrome DevTools, and episodic memory for persistent project context. Installation profiles range from minimal to enterprise setups, allowing development teams, operations groups, and individual developers to automate coding tasks, coordinate multi-agent workflows, and streamline CI/CD and testing pipelines.

How to Use

Add the marketplace with 'claude plugin marketplace add Primadetaautomation/primadata-marketplace'. Choose an installation profile (Minimal, Standard, Professional, or Enterprise) and install plugins accordingly. Minimal setup includes superpowers, elements-of-style, and episodic-memory; Enterprise setup installs all available plugins including dev toolkits, MCP servers, and specialized agents.

Use Cases

Automate end-to-end testing with Playwright and browser automation

Coordinate multi-agent development workflows across fullstack, backend, and frontend specialists

Implement test-driven development with systematic debugging and verification patterns

Design and optimize database schemas with intelligent database architect agents

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/Primadetaautomation/primadata-marketplace

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

Act as a Primadata Marketplace expert. I need to automate a repetitive coding task in [COMPANY] that involves [INDUSTRY]-specific data processing. Suggest the best agents and skills to use, and provide a step-by-step automation workflow. Focus on efficiency and integration with our existing MCP servers.

Example Output

# Primadata Marketplace Automation Recommendation

## Task: Automating Customer Data Processing

### Recommended Agents and Skills
- **Agent**: DataProcessor
  - **Skills**: DataCleaner, DataValidator, DataFormatter
- **Agent**: CodeGenerator
  - **Skills**: TemplateCoder, ScriptOptimizer
- **Agent**: MCPIntegrator
  - **Skills**: ServerSync, APIManager

### Step-by-Step Workflow
1. **Data Ingestion**: Use DataProcessor to ingest customer data from [INDUSTRY] sources.
2. **Data Cleaning**: Apply DataCleaner to remove duplicates and correct inconsistencies.
3. **Data Validation**: Use DataValidator to ensure data meets [COMPANY] standards.
4. **Code Generation**: Leverage CodeGenerator to create processing scripts using TemplateCoder.
5. **Optimization**: Apply ScriptOptimizer to enhance script performance.
6. **MCP Integration**: Use MCPIntegrator to sync processed data and scripts with MCP servers via ServerSync.
7. **API Management**: Employ APIManager to handle data exchange between systems.

## Expected Outcome
- Streamlined data processing workflow.
- Reduced manual coding efforts by 60%.
- Seamless integration with MCP servers.
- Improved data accuracy and consistency.