agentic-workflow
Structure AI-assisted software development with universe, design, build, QA, and retrospectives.
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- Updated Jul 7, 2026
Structure AI-assisted software development with universe, design, build, QA, and retrospectives.
This workflow starts each task by defining the project’s architecture, stack, and constraints, then moves through problem analysis, research, solution options, design, verification, implementation, QA, and retrospective. Its skills can be installed into Claude or Copilot user scope, with shared project instructions and a design.md handoff connecting planning to build.
Resource types
Use cases
Platforms
Launch a self-hosted AI automation stack with Docker Compose.
Build an AWS chatbot with tools, memory, browser automation, and multi-agent delegation.
Capabilities
Audience
Public GitHub facts last synced Jul 10, 2026.
Start playable jam games quickly with Phaser, Three.js, and agent skills.
Bootstrap and package Electron apps with a security-focused process structure.