Skip to content

Instantly share code, notes, and snippets.

View bacoco's full-sized avatar

Baconnier Loic bacoco

View GitHub Profile
@bacoco
bacoco / claude-sparc.md
Created June 8, 2025 16:14 — forked from ruvnet/*claude.md
The Claude-SPARC Automated Development System is a comprehensive, agentic workflow for automated software development using the SPARC methodology with the Claude Code CLI

Claude-SPARC Automated Development System For Claude Code

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

  • Comprehensive Research Phase: Automated web research using parallel batch operations
  • Full SPARC Methodology: Complete implementation of all 5 SPARC phases
@bacoco
bacoco / 01-readme.md
Created April 26, 2025 14:30 — forked from ruvnet/01-readme.md
Agentic Coding MCPs: Build agent workflows with more than 80 MCP servers using Composio. Instantly connect to databases, AI tools, project management, social apps, CRMs, storage, finance, and dev platforms. Simple URLs, secure access, modular control. Power up your agents with real-world actions across cloud and enterprise systems — all in seconds.

Agentic Coding MCPs

Overview

Powered by composio this MCP.json provides detailed information on Model Context Protocol (MCP) integration capabilities and enables seamless agent workflows by connecting to more than 80 servers.

It covers development, AI, data management, productivity, cloud storage, e-commerce, finance, communication, and design. Each server offers specialized tools, allowing agents to securely access, automate, and manage external services through a unified and modular system. This approach supports building dynamic, scalable, and intelligent workflows with minimal setup and maximum flexibility.

Install via NPM

import autogen
config_list = [
{
'model': 'gpt-4',
'api_key': 'API_KEY'
}
]
llm_config={
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.