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TheSoftwareHouseAI-powered toolchain for end-to-end product engineering
Top 99.3% on SourcePulse
This repository offers opinionated, AI-enabled workflows for product engineering, designed to cover the entire development lifecycle from ideation through development to quality assurance. It provides a unified toolchain for teams using GitHub Copilot, VS Code, Jira, and Figma, aiming to streamline AI-assisted product development.
How It Works
The project structures AI-powered agents, skills, and workflows across three core phases: Product Ideation, Development, and Quality. A fourth track focuses on Copilot customization, enabling users to create their own agents, skills, prompts, and instructions. It heavily integrates with various MCP (Meta-Cognitive Process) servers, including Atlassian, Figma Dev Mode, Playwright, and Context7, to provide context-aware AI assistance. All custom artifacts use a tsh- prefix to avoid naming collisions with user-defined customizations.
Quick Start & Requirements
git clone <repo-url> copilot-collections)..github/prompts, .github/agents, and .github/skills directories within the cloned repository. Configure MCP servers by copying .vscode/mcp.json to your user profile or workspace.Highlighted Details
tsh- prefix for all provided artifacts to ensure namespace isolation.Maintenance & Community
No specific details regarding maintainers, community channels (e.g., Discord, Slack), or roadmap are present in the provided README.
Licensing & Compatibility
Licensed under the MIT License, which is permissive for commercial use and integration into closed-source projects.
Limitations & Caveats
A GitHub Copilot Pro license or higher is a strict requirement for utilizing custom agents and MCP integrations. VS Code version 1.109 or later is also mandatory. Full workflow capabilities depend on the correct configuration of the various MCP servers.
22 hours ago
Inactive
cluesmith
EveryInc