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lyh843lyh843/AgentSkills/skills/ponytail-help/SKILL.md

ponytail-help

Skill1 starsChanged 5 months agoMITView on GitHub

Quick-reference card for all ponytail modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".

  • Installs packages

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 22 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Default mode = full, auto-active every session.

    line 46
  2. Very specific:

    If /plugin is not recognized, your Claude Code is out of date.

    line 67

“Common” is measured: kept by at least 6 in 10 of the 22 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Ponytail Help

Display this reference card when invoked. One-shot, do NOT change mode, write flag files, or persist anything.

Levels

LevelTriggerWhat change
Lite/ponytail liteBuild what's asked, name the lazier alternative in one line.
Full/ponytailThe ladder enforced: YAGNI → stdlib → native → one line → minimum. Default.
Ultra/ponytail ultraYAGNI extremist. Deletion before addition. Challenges requirements before building.

Level sticks until changed or session end.

Skills

SkillTriggerWhat it does
ponytail/ponytailLazy mode itself. Simplest solution that works.
ponytail-review/ponytail-reviewOver-engineering review: L42: yagni: factory, one product. Inline.
ponytail-audit/ponytail-auditWhole-repo over-engineering audit: ranked list of what to delete.
ponytail-debt/ponytail-debtHarvest ponytail: shortcut comments into a tracked ledger.
ponytail-gain/ponytail-gainMeasured-impact scoreboard: less code, less cost, more speed.
ponytail-help/ponytail-helpThis card.

Codex uses @ponytail, @ponytail-review, and @ponytail-help; Claude Code and OpenCode use the slash-command forms above (OpenCode ships all six as slash commands).

Deactivate

Say "stop ponytail" or "normal mode". Resume anytime with /ponytail. /ponytail off also works.

Configure Default Mode

Default mode = full, auto-active every session. Change it:

Environment variable (highest priority):

export PONYTAIL_DEFAULT_MODE=ultra

Config file (~/.config/ponytail/config.json, Windows: %APPDATA%\ponytail\config.json):

{ "defaultMode": "lite" }

Set "off" to disable auto-activation on session start, activate manually with /ponytail when wanted.

Resolution: env var > config file > full.

Update

Enable auto-update once: open /plugin, go to Marketplaces, pick ponytail, Enable auto-update. Claude Code then pulls new versions at startup (run /reload-plugins when it prompts). Manual refresh: /plugin marketplace update ponytail then /reload-plugins.

If /plugin is not recognized, your Claude Code is out of date. Update it (npm install -g @anthropic-ai/claude-code@latest, or brew upgrade claude-code) and restart. Other hosts use their own update flow.

More

Full docs + examples: https://github.com/DietrichGebert/ponytail

Download now (ZIP)

Trending

Surging: 6 new projects took it in the last 4 weeks, 6× the 4 weeks before.thin data

Week of Aug 30: 0 new projectsWeek of Sep 6: 1 new projectWeek of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 1 new projectWeek of Oct 4: 4 new projectsWeek of Oct 11: 1 new projectWeek of Oct 18: 0 new projects
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 7 in all, so this is a hint, not a trend.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free