By flora131
Research, understand, plan, and autonomously ship complex features end-to-end in any codebase using GitHub Copilot AI for code completion, chat, and generation alongside Azure DevOps for managing repositories, pipelines, work items, builds, and artifacts.
npx claudepluginhub flora131/atomicImplementation of the Ralph Wiggum technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.
External network access
Connects to servers outside your machine
Share bugs, ideas, or general feedback.
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
PROJECT.md-first autonomous development with hybrid auto-fix documentation. 8-agent pipeline, auto-orchestration, docs auto-update on commit (true vibe coding). Knowledge base system with 90% faster repeat research. Strict mode enforces SDLC best practices automatically. Works for ANY Python/JavaScript/TypeScript/Go project.
Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 commands
AI-powered development workflow with planning, implementation, and review commands