ponytail

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

Updated Sep 10, 2026
One-click install
npx skills add https://github.com/longqt321/Rendez --skill ponytail-longqt321
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ponytail
Source: https://github.com/longqt321/Rendez/tree/main/.agent/skills/ponytail
Command: npx skills add https://github.com/longqt321/Rendez --skill ponytail-longqt321

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 - Solution Ladder: A seven-step decision hierarchy that stops at the first sufficient rung, from YAGNI rejection down to minimal new code. - Intensity Levels: Three modes (lite, full, ultra) control how aggressively simplification is enforced, switchable via "/ponytail lite|full|ultra". - Root-Cause Bug Fixing: Directs fixes to shared code paths rather than patching individual callers, 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 implementation would actually be warranted. ## Quick Start Ask the AI to use ponytail mode to implement your next feature or fix with the simplest solution that works.

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 when writing new code?

Apply a decision ladder before writing anything: check if the feature is needed at all, reuse existing helpers in the codebase, prefer standard library and native platform features, then write the minimum code that works. This keeps diffs small and avoids speculative abstractions.

How to choose between a dependency and standard library code?

Prefer the standard library or an already-installed dependency whenever it covers the requirement. Only add a new dependency when a few lines of existing tools genuinely cannot do the job, since each dependency adds maintenance and supply-chain cost.

What are the ponytail intensity levels lite, full, and ultra?

Lite builds what is asked but names a lazier alternative in one line. Full, the default, enforces the ladder with the shortest working diff. Ultra is YAGNI-extremist, preferring deletion and challenging the requirement itself while shipping a one-liner.

When should I not simplify a code solution?

Never simplify away input validation at trust boundaries, error handling that prevents data loss, security measures, accessibility basics, or anything explicitly requested. Hardware-facing code also needs calibration knobs that a minimal model cannot anticipate.

Does minimal code still need tests?

Non-trivial logic such as branches, loops, parsers, or money and security paths should leave one small runnable check, like an assert-based self-check or a single test file. Trivial one-liners need no test, and full test frameworks are avoided unless requested.