msbaek/prompts

🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.

89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.

A curated collection of AI prompts for software engineers — organized by domain (DevOps, Backend, Frontend, Testing, etc.). Use them with ChatGPT or local LLMs to automate tasks, debug faster, generate tests, write docs, and ship better code. Perfect for engineers building with AI, not against it.

Disciplined Agentic Engineering — a methodology kit for Claude Code: acceptance-test-first specs, explicit checkpoints, and autonomy you can actually leave running. The engineer, atdd and crap-analyzer plugins.

A plain-text prompt for LLMs that teaches the essence of elegant coding and testing—save it to ~/.claude/CLAUDE.md.

Automated TDD enforcement for Claude Code

23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.

Prompt Driven Development (PDD): The Last Programming Language™. Prompt files are source; code is generated output.