This skill enables fast deterministic feedback loops to self-validate work, surfacing repros, measurements, and exit criteria for clear convergence.
npx playbooks add skill dmmulroy/.dotfiles --skill feedback-loop
Use Feedback Loop to configure Claude Code, Cursor, or Copilot for testing & qa: it this skill enables fast deterministic feedback loops to self-validate work, surfacing repros, measurements, and exit criteria for clear convergence.
This compact 19-word instruction set is purpose-built for testing & qa work in AI coding agents. Install with a single command.
This skill enables fast deterministic feedback loops to self-validate work, surfacing repros, measurements, and exit criteria for clear convergence.
Feedback Loop is a free testing & qa skill for AI coding agents. This skill enables fast deterministic feedback loops to self-validate work, surfacing repros, measurements, and exit criteria for clear convergence.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill dmmulroy/.dotfiles --skill feedback-loop in your terminal to install Feedback Loop into your Claude Code session. It works immediately after installation.
Feedback Loop is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Feedback Loop is completely free and open source. The full source is available on GitHub at https://github.com/dmmulroy/.dotfiles/tree/main/home/.config/opencode/skill/feedback-loop. You only need a subscription to the AI agent you use it with.
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