Ponytail Gain

CommunityPopular

DietrichGebert

ponytail-gain

Show ponytail's measured impact as a compact scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display, not a persistent mode, and not a per-repo number. Trigger: /ponytail-gain, "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".

Overview

Publisher	DietrichGebert
Repository	`ponytail`
Skill name	`ponytail-gain`
Stars	141.3K
Forks	7.6K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by DietrichGebert on GitHub. Read the source before you install it.

Installation

Install the Ponytail Gain AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/DietrichGebert/ponytail.git /tmp/ponytail
mkdir -p .claude/skills
cp -r /tmp/ponytail/skills/ponytail-gain .claude/skills/ponytail-gain

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ponytail Gain in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ponytail Gain on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ponytail Gain is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:


  ponytail gain                     benchmark median · 5 tasks · 3 models

  Lines of code   no-skill  ████████████████████  100%
                  ponytail  ██▌·················    6–20%   ▼ 80–94%
  Cost            no-skill  ████████████████████  100%
                  ponytail  █████▌··············   23–53%  ▼ 47–77%
  Speed           ponytail  ▸ 3–6× faster

  This repo:  /ponytail-debt  (shortcuts you deferred)
              /ponytail-audit (what's still cuttable)

Honesty boundary

These are benchmark medians, not this repo. NEVER print a per-repo savings number ("you saved X lines/tokens here"): the unbuilt version was never written, so there is no real baseline to subtract from in a live repo. The only real per-repo figures come from /ponytail-debt (a counted ledger), and this card points there instead of inventing one.

Boundaries

One-shot display. Edits nothing, changes no mode. "stop ponytail" or "normal mode": revert.

Frequently asked questions

What does the Ponytail Gain AI skill do?

Why use Ponytail Gain on TypingMind?

Because you install it once and use it with any model. Ponytail Gain is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ponytail Gain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DietrichGebert/ponytail/tree/main/skills/ponytail-gain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ponytail Gain?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ponytail Gain?

As many as you like. As long as a model supports skills, you can use Ponytail Gain with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ponytail Gain AI skill free?

Yes. It is published on GitHub by DietrichGebert under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Find Skills

bytedance

OrganizationPopular

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This…

Diagnosing Bugs

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

E2e Testing

Patrones de pruebas E2E con Playwright, Page Object Model, configuración, integración CI/CD, gestión de artefactos y estrategias para pruebas inestables.

Eval Harness

Framework formal de evaluación para sesiones de Claude Code que implementa principios de desarrollo orientado a evals (EDD)

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ponytail Gain

Scoreboard

Honesty boundary

Boundaries

Frequently asked questions

Related AI Skills

Set up your own AI workspace now