Ponytail Help
by dietrichgebertb088b2df6e08MIT158K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Quick reference for ponytail's modes, skills, and commands. One-shot display.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| SKILL.md | 2.8 KB | text/markdown |
Source and attribution
Source:dietrichgebert/ponytailin.openclaw/skills/ponytail-helpat commitb088b2d
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from dietrichgebert/ponytail
Ponytail Review
dietrichgebert
Reviews a code diff for bugs, security, scale, missing tests, speed and lean code, and reports findings.
Ponytail Gain
dietrichgebert
Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display.
Ponytail Debt
dietrichgebert
Scans a repository for ponytail: shortcut comments and compiles them into a single debt ledger report.
Ponytail Audit
dietrichgebert
Audits an entire code repository and reports bugs, security risks, scale issues, missing tests, speed problems and code to delete.
Ponytail
dietrichgebert
A coding-mode skill that guides an agent to make the smallest complete change and reply concisely.
More in AI & Agents
Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.
Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.
Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.
Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.
Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.
Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.