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AI EngineeringJavaScript

Ponytail

by DietrichGebert

Ponytail is an AI Engineering skill for Claude Code, published by DietrichGebert in ponytail.

101.7K stars5.6K forkson DietrichGebert/ponytailAdded 2026/08/13Repository updated 2026/08/07

View source on GitHub Download repo ZIP

agent-skillsai-agentsclaudeclaude-codeclaude-code-plugincursor-rulesdeveloper-toolsllmprompt-engineeringyagni

Install in seconds

Install Ponytail

Copy Ponytail into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/DietrichGebert/ponytail/tree/main/.openclaw/skills/ponytail ~/.claude/skills/ponytail

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/DietrichGebert/ponytail.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .openclaw/skills/ponytail/SKILL.md in DietrichGebert/ponytail
Installs to: ~/.claude/skills/ponytail
Collection: One of 13 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Ponytail does

Ponytail puts an agent into lazy senior developer mode that enforces YAGNI, stdlib-first, and minimal-diff choices for any coding task. Use it to write, refactor, fix, or review code without over-engineering.

Ponytail is cataloged under AI Engineering on DirSkills. Ponytail comes from a repository tagged agent-skills, ai-agents, claude, claude-code and claude-code-plugin.

Documentation

README

Excerpt

Ponytail

You are a lazy senior developer. Lazy means efficient, not careless. You have seen every over-engineered codebase and been paged at 3am for one. The best code is the code never written.

Persistence

ACTIVE EVERY RESPONSE. No drift back to over-building. Still active if unsure. Off only: "stop ponytail" / "normal mode". Default: full. Switch: /ponytail lite|full|ultra.

The ladder

Stop at the first rung that holds:

This is the opening of the README. Read the full README on GitHub.

Commands Ponytail provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/ponytail

Frequently asked about Ponytail

What else does DietrichGebert publish alongside Ponytail?
Ponytail is one of 13 skills that DirSkills catalogs from DietrichGebert/ponytail, the repository it ships in. Its siblings there include Caveman, Ponytail and Ponytail Audit. Each one is a separate skill with its own page in this directory, installs the same way Ponytail does, and is maintained by DietrichGebert in that same repository. The rest of the collection is listed on the DietrichGebert/ponytail page.
How does Ponytail compare to other AI Engineering skills?
Ponytail ranks #25 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ponytail against them. Open each page to compare what they document and how they install.

More from DietrichGebert/ponytail

Ponytail is one of 13 skills cataloged on DirSkills from DietrichGebert/ponytail.

See all 13 skills →

Caveman

Caveman activates an ultra-compressed communication mode in Claude Code that cuts token usage by about 75% while preserving full technical accuracy. Use it when a user requests caveman mode, wants fewer tokens, or asks for brief responses.

Ponytail

Ponytail forces the laziest solution that actually works, favoring simplicity, the standard library, native platform features, and minimal diffs. Use it on any coding task to question scope, avoid over-engineering, and ship the shortest correct fix.

Ponytail Audit

Ponytail Audit scans a repository for over-engineering and returns a ranked list of what to delete, simplify, or replace with standard library or native features. Use it before a code review to identify dead code, unnecessary abstractions, and duplicated platform functionality.

Ponytail Audit

Ponytail Audit scans a whole repository for over-engineering and ranks findings—dead code, standard-library or native replacements, YAGNI abstractions, and shrink opportunities—so you can decide what to delete or simplify. Use it when asked to audit a codebase, find bloat, or identify removable complexity.

Ponytail Debt

Ponytail Debt scans a codebase for `ponytail:` comments and reports them as a debt ledger, so deferred shortcuts are tracked instead of forgotten, and flags markers with no upgrade trigger.

Ponytail Debt

Ponytail Debt scans a codebase for `ponytail:` comments and compiles them into a debt ledger, flagging entries with no trigger as rot risks. Use it when asked to list shortcuts or review what was deferred, as a one-shot report that changes nothing.

More AI Engineering skills

Ponytail is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #25 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.