pbakaus/impeccable

This page introduces an external open-source repository. It is not an HDATF product.

What it does

A skill giving AI coding agents frontend design guidance. An init step records product facts in PRODUCT.md, commands such as polish, audit and critique share a design vocabulary, and deterministic detector rules flag typical AI-generated design patterns.

How it helps ATF

For Harness, its mix of deterministic detector rules and LLM critique could be a reference for checking agent output with evidence. Keeping lasting product facts in PRODUCT.md, apart from visual direction chosen per screen, is also worth comparing.

License

Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.

More in this category

• tanweai/pua
  A skill plugin for coding agents such as Claude Code and Codex. It combines workplace pressure language modeled on a performance improvement plan, a debugging method and proactivity rules to push the agent to exhaust options before giving up.
• phuryn/pm-skills
  A marketplace of product management skills, commands and plugins for Claude Code and Cowork, from discovery and strategy to PRD writing, launch and growth. Each skill walks the user through a PM framework step by step.
• garrytan/gstack
  gstack packages Garry Tan's exact Claude Code setup: 23 opinionated tools that act as CEO, designer, engineering manager, release manager, doc engineer and QA.
• msitarzewski/agency-agents
  A collection of AI agent personas, from frontend development to Reddit community work, each with its own personality, process and deliverables. A companion desktop app installs them into Claude Code, Cursor, Codex, Gemini and other tools.
• mattpocock/skills
  A personal set of small, composable agent skills for everyday engineering work, easy to adapt and usable with any model. It can be installed as a managed Claude Code plugin or copied as editable files through skills.sh.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.