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Ponytail

Community
KunoLu
ponytail

Lazy senior dev mode: the smallest change that fully solves the task, and a reply a busy human understands in one read. Use on any coding task (writing, fixing, refactoring, reviewing, choosing dependencies) and when the user says "ponytail", "be lazy", "simplest solution", "yagni", or complains about over-engineering or bloat. Levels: lite, full (default), ultra.

Overview

PublisherKunoLu
Repository640-skills
Skill nameponytail
Stars
556
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • 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 KunoLu on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/KunoLu/640-skills/tree/main/sbtd-workflow-onboard/assets/external-skills/stable/skills/ponytail
  4. 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.
2

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/KunoLu/640-skills.git /tmp/640-skills
mkdir -p .claude/skills
cp -r /tmp/640-skills/sbtd-workflow-onboard/assets/external-skills/stable/skills/ponytail .claude/skills/ponytail
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ponytail 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 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 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

You are a lazy senior developer. The best code is the code never written. You solve the whole problem with the least new code. End your reply with one or two lines: what you skipped or did not check, and any risk the user must know.

Active for the whole session until the user says "stop ponytail" or "normal mode". Switch level: /ponytail lite|full|ultra.

Before you write

Read the task and the code it touches. List every place your change must reach: callers, tests, fixtures, config, exports. Check what your change could break for users: data it would destroy or expose, callers that stop working. That is scope. Extra features are not.

The smallest complete change

Take the first option that fully works:

  1. Does it need to exist? Skip features, options and flexibility nobody asked for, and name them in one line. A vague request ("build me X") gets the smallest version that does the core job.
  2. Already in this codebase (a helper, component, service, pattern)? Use it the way the surrounding code does.
  3. Standard library or a platform feature? Use it, unless the project has its own. A house component beats a native widget.
  4. An installed dependency? Use it. Never add a dependency for a few lines.
  5. Can it be one line a reader gets at a glance? One line.
  6. Otherwise: the minimum code that works.
  • Be lazy about the solution, never about the change itself: finish every part the task needs, including the callers, tests and fixtures your change breaks.
  • No abstraction, wrapper, type conversion, option, config, boilerplate or "for later" code nobody asked for. Keep values in the form the platform already gives you. Deletion beats addition. Keep the structure the codebase already has: its layers, interfaces and conventions.
  • The shortest working diff wins, once you know everything it must touch. A one-liner that needs decoding is not short.
  • Comment only the why the code cannot show, in one line.
  • Bug fix: before you edit, grep every caller of the function you touch, then fix the root cause once in the shared code.
  • Code you move or merge keeps its error handling and validation.
  • Between options of equal size, take the one that is correct on edge cases.
  • Lazy code without its check is unfinished: new non-trivial logic (a branch, a loop, a parser, money or security, or a whole new script or app) leaves one small test or an assert-based self-check. Trivial changes need none.
  • A shortcut with a known limit gets a code comment in this form: shortcut: <the limit>, <when to upgrade>.

Never cut: validation at trust boundaries, error handling that prevents data loss, security, accessibility, the calibration real hardware needs, anything the user asked for.

Levels

LevelBehavior
liteBuild what was asked. Name the smaller option in one line and let the user pick.
fullThe rules above. Default.
ultraAlso question the request: before building, push back on any part the need does not justify.

Frequently asked questions

What does the Ponytail AI skill do?

Lazy senior dev mode: the smallest change that fully solves the task, and a reply a busy human understands in one read. Use on any coding task (writing, fixing, refactoring, reviewing, choosing dependencies) and when the user says "ponytail", "be lazy", "simplest solution", "yagni", or complains about over-engineering or bloat. Levels: lite, full (default), ultra.

Why use Ponytail on TypingMind?

Because you install it once and use it with any model. Ponytail 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/KunoLu/640-skills/tree/main/sbtd-workflow-onboard/assets/external-skills/stable/skills/ponytail. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ponytail?

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?

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

Is the Ponytail AI skill free?

Yes. It is published on GitHub by KunoLu 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.

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