📊
DataJavaScript

Ponytail Gain

by DietrichGebert

Ponytail Gain is a Data skill for Claude Code, published by DietrichGebert in ponytail.

101.7K stars5.6K forkson DietrichGebert/ponytailAdded 2026/08/13Repository updated 2026/08/07
agent-skillsai-agentsclaudeclaude-codeclaude-code-plugincursor-rulesdeveloper-toolsllmprompt-engineeringyagni
Install in seconds
Install Ponytail Gain
Copy Ponytail Gain 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/skills/ponytail-gain ~/.claude/skills/ponytail-gain

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
skills/ponytail-gain/SKILL.md in DietrichGebert/ponytail
Installs to
~/.claude/skills/ponytail-gain
Collection
One of 13 skills cataloged from this repository
Category
Data668 skills

What Ponytail Gain does

Ponytail Gain displays a compact scoreboard of ponytail's measured impact: less code, less cost, more speed, using benchmark medians from five tasks and three models. Use /ponytail-gain to see savings and link to per-repo debt and audit commands.

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

Documentation

README

Ponytail Gain

Display this scoreboard when invoked. One-shot: do NOT change mode, write flag files, or persist anything.

The figures are the published benchmark medians (5 everyday tasks: email validator, debounce, CSV sum, countdown timer, rate limiter; three models: Haiku, Sonnet, Opus). They are measured, not computed from the current repo. Source: benchmarks/ and the README.

Scoreboard

Render plain ASCII bars. The bar length shows the measured range; the label carries the exact figure:

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

Commands Ponytail Gain provides

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

  • /ponytail-debt
  • /ponytail-audit

Frequently asked about Ponytail Gain

  • What else does DietrichGebert publish alongside Ponytail Gain?

    Ponytail Gain is one of 13 skills that DirSkills catalogs from DietrichGebert/ponytail, the repository it ships in. Its siblings there include Caveman, Ponytail and Ponytail. Each one is a separate skill with its own page in this directory, installs the same way Ponytail Gain 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 Gain compare to other Data skills?

    Ponytail Gain ranks #8 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. 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 Gain against them. Open each page to compare what they document and how they install.

More from DietrichGebert/ponytail

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

See all 13 skills
🗿
3w ago

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.
AI Engineering
101.7K5.6K
🦥
3w ago

Ponytail

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.
AI Engineering
101.7K5.6K
🦥
3w ago

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.
AI Engineering
101.7K5.6K
✂️
3w ago

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.
Quality
101.7K5.6K
✂️
3w ago

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.
Quality
101.7K5.6K
🔍
3w ago

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.
Quality
101.7K5.6K