The article dissects Matt Pocock’s /tdd and /diagnosing-bugs skills, showing how explicit feedback signals, red‑capable commands and a six‑phase linear debugging flow prevent agents from guessing root causes and improve the reliability of AI‑assisted bug triage.
The article compares two open‑source AI coding projects—mattpocock/skills and Trellis—examining how each addresses the twin challenges of losing control over generated code and AI agents forgetting project context, and provides a detailed six‑dimensional analysis to help developers choose the right solution.
The article introduces mattpocock/skills, an open‑source collection of lightweight shell “skills” that structure prompts and shared context to keep AI coding assistants like Claude Code or Codex from misinterpreting requirements, offering quick installation and configuration steps for engineers seeking reliable, controllable AI‑augmented development.
