Ponytail
167kA skill that teaches an AI agent to ask "does this even need writing?" first. The code comes out shorter, tasks cost less, and the tests on risky spots stay. Claude Code, Codex, Cursor and more, MIT.
We have not run it ourselves: described from the docs and the repository.
In numbers
What it is
Ask an agent to add a date picker to your site and it will happily pull in a new library or build a calendar from scratch in hundreds of lines. Ponytail changes that habit: before writing anything, the agent climbs a ladder of seven questions. Is this needed at all, is there something ready in the project, in the standard library, in the browser itself, in a dependency that is already installed, can it fit in one line. It only starts writing its own code on the last rung. The skill does not let it cut input validation, error handling, security or accessibility.
What sets it apart from caveman, its neighbour in this catalogue, is that it saves on the code itself rather than on reading: caveman trims what the agent reads from the project, Ponytail trims what the agent writes. The whole skill is a single prompt; the rest of the repository plugs it into different agents. Version 5 added senior-style code review and audit, plus a panel in Claude Code that shows what the current task costs.
How it works
/plugin marketplace add DietrichGebert/ponytail, then /plugin install ponytail@ponytail. Codex has its own plugin; for Cursor, Copilot, Gemini and others an AGENTS.md file in the project is enough.off turns it off. /ponytail-review checks a change together with the code it touches, /ponytail-audit checks the whole repository, /ponytail-debt collects deferred simplifications into a list.Know before installing
claude -p. Agents that only read AGENTS.md do not get the review and audit commands.Read the breakdown
We went through this tool in detail — what it does, where the catches are, and who it suits.



Comments