DietrichGebert/ponytail

What DietrichGebert/ponytail is for

DietrichGebert/ponytail is an AI agent skill resource for Engineering Development workflows. Based on the archived project material, its core value is: Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote — a GitHub Skill repository verified at commit 2ed6c52 with 12 SKILL.md files for development workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.

README summary

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

README capability notes

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| .openclaw/skills/ponytail-audit/SKILL.md | ponytail-audit | Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features. | baba579ec3261cef555797c06484b4374ff4febbdb3eb0b4333e6d92b3434f87 |

| .openclaw/skills/ponytail-debt/SKILL.md | ponytail-debt | Harvest every ponytail: shortcut comment into one debt ledger, so deferrals get tracked instead of forgotten. One-shot report. | b0281c1d96fa5acc411ab6bbc219802c5551ecc73f4e3be3a3b74ada78a84bcb |

| .openclaw/skills/ponytail-gain/SKILL.md | ponytail-gain | Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians....

Workflow fit and practical value

The current taxonomy places DietrichGebert/ponytail under Engineering Development, with tags such as Development, agent-skills, ai-agents, claude, claude-code, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.

Installation, usage, and platform notes

No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves Development, agent-skills, ai-agents, claude, claude-code, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.

No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.