# Ponytail — YAGNI-Driven AI Agent Skill for Minimal Code

> Ponytail is an open-source agent skill that trains AI coding assistants to think like a lazy senior dev, favoring deletion over creation and simplicity over abstraction.

## Install

Save as a script file and run:

# Ponytail — YAGNI-Driven AI Agent Skill for Minimal Code

## Quick Use
```bash
# Install as a Claude Code skill
git clone https://github.com/DietrichGebert/ponytail.git .ponytail
# Follow the README to wire it into your agent harness
```

## Introduction
Ponytail is an agent skill that rewires how AI coding assistants approach problems. Instead of generating boilerplate and over-engineering, Ponytail teaches your agent to think like the laziest senior developer in the room — the one who knows the best code is no code at all.

## What Ponytail Does
- Applies YAGNI (You Aren't Gonna Need It) principles to every code generation task
- Encourages deletion of dead code over adding new abstractions
- Reduces token consumption by producing shorter, more focused outputs
- Works with Claude Code, Cursor, Codex, and other AI coding agents
- Provides prompt-level guidance that shapes the agent's reasoning style

## Architecture Overview
Ponytail operates as a lightweight skill definition — a set of instructions and prompt modifications that sit between your agent harness and the underlying LLM. It does not run a server or require a runtime. The skill modifies the agent's system-level behavior to prefer minimal solutions, avoid speculative features, and question every new file or abstraction before creating it.

## Self-Hosting & Configuration
- Clone the repository and follow the setup instructions for your agent
- No external services or API keys required
- Works as a drop-in skill for compatible agent harnesses
- Configurable intensity levels for how aggressively it enforces minimalism
- Compatible with multi-skill setups alongside other agent plugins

## Key Features
- Zero-dependency skill that modifies agent behavior at the prompt level
- Reduces average code output size while maintaining correctness
- Teaches agents to refactor and simplify before adding new code
- Framework-agnostic — works with any language or stack
- Open-source with an active community contributing refinements

## Comparison with Similar Tools
- **ECC** — broader performance optimization system; Ponytail focuses specifically on minimalism
- **Planning-with-Files** — targets task planning and persistence; Ponytail targets code style
- **OpenSpec** — enforces spec-driven development; Ponytail enforces simplicity-driven development
- **Claude Token Efficient** — reduces token output verbosity; Ponytail reduces code complexity

## FAQ
**Q: Does Ponytail work with agents other than Claude Code?**
A: Yes. It supports any harness that accepts skill definitions, including Cursor, Codex CLI, and Gemini CLI.

**Q: Will it make my agent refuse to write code?**
A: No. It guides the agent to write less code, not no code. Complex features still get implemented — just without unnecessary extras.

**Q: Can I combine Ponytail with other skills?**
A: Yes. It is designed to compose with other skills without conflicts.

**Q: Is Ponytail suitable for large codebases?**
A: Especially so. The YAGNI approach helps prevent codebase bloat in large projects.

## Sources
- https://github.com/DietrichGebert/ponytail

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Source: https://tokrepo.com/en/workflows/asset-983bf819
Author: Script Depot