ponytail

Enforces minimal, standard-library-first solutions for coding tasks with adjustable intensity levels.

Updated Aug 19, 2026
One-click install
npx skills add https://github.com/Base-Analitica/mouse-hub --skill ponytail-base-analitica
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ponytail
Source: https://github.com/Base-Analitica/mouse-hub/tree/main/.jcode/skills/ponytail
Command: npx skills add https://github.com/Base-Analitica/mouse-hub --skill ponytail-base-analitica

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Codebases accumulate over-engineered abstractions, unnecessary dependencies, and speculative features that create maintenance burden. This Skill forces the simplest working solution for any coding task by applying a strict decision ladder: question whether the work is needed, reuse existing code, prefer the standard library and native platform features, and only write new code as a last resort. ## Core Features & Use Cases - Minimal-Solution Ladder: A seven-step decision hierarchy (YAGNI check, existing code reuse, stdlib, native platform features, installed dependencies, one-liners, minimal new code) applied to every coding task. - Adjustable Intensity Levels: Three modes (lite, full, ultra) control how aggressively simplification is enforced, from suggesting lazier alternatives to challenging the requirement itself. - Root-Cause Bug Fixing: Directs fixes to shared code paths rather than patching individual call sites, keeping diffs small and complete. - Use Case: When asked to add a response cache, instead of building a custom cache class, the Skill applies @lru_cache(maxsize=1000) and notes when a custom solution would become necessary. ## Quick Start Ask the assistant to use ponytail mode when writing or refactoring code, for example by saying "use ponytail to implement this feature with the simplest solution".

Frequently Asked Questions about ponytail

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I avoid over-engineering code with AI assistance?▼

Activate ponytail mode on any coding task and it applies a decision ladder that checks whether the work is needed, reuses existing code, and prefers standard library or native platform features before writing new code. The default full intensity enforces the shortest working diff.

What is the difference between ponytail lite, full, and ultra modes?▼

Lite builds what is asked but names a lazier alternative in one line. Full, the default, enforces the simplification ladder with the shortest diff and explanation. Ultra aggressively deletes before adding and challenges the requirement itself.

Can I use this for code review and refactoring tasks?▼

Yes, the Skill applies to writing, adding, refactoring, fixing, reviewing, and designing code, plus library and dependency selection. It is explicitly not intended for non-coding requests like prose, translation, or summaries.

When should I not use a minimal-solution approach?▼

The Skill never simplifies away input validation at trust boundaries, error handling that prevents data loss, security measures, accessibility basics, or anything explicitly requested. It also requires fully understanding the problem before choosing a minimal fix.

How do I turn off ponytail mode once activated?▼

Say "stop ponytail" or "normal mode" to revert to standard behavior. The chosen intensity level persists until changed or the session ends, and you can switch levels at any time with lite, full, or ultra.