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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Tools
    3. Ponytail
    Ponytail icon

    Ponytail

    Agent Skill Registries
    Featured

    An open-source plugin that makes AI coding agents write minimal, YAGNI-first code — like the laziest senior dev in the room.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT license. No cost to use, modify, or distribute.

    Engagement

    Available On

    Windows
    API
    VS Code
    SDK
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Agent Skill RegistriesAI Coding AssistantsPrompt Engineering

    Alternatives

    Skill Optimizerskills-for-humanityClaude Code Skills & Plugins
    Developer
    DietrichGebertDietrichGebert builds open-source developer tooling for AI c…

    Listed Jun 2026

    About Ponytail

    Ponytail is an open-source MIT-licensed plugin for AI coding agents, created by DietrichGebert on GitHub. It injects a strict minimalism ruleset into agents like Claude Code, Codex, Gemini CLI, and others, pushing them to write the least code that actually works. The project reached v4.7.0 in June 2026 and has accumulated over 25,000 GitHub stars since its creation on June 12, 2026.

    What It Is

    Ponytail is an agent skill/plugin that embeds a "lazy senior developer" decision ladder into AI coding agents. Before writing any code, the agent is instructed to stop at the first rung that satisfies the task: skip it entirely (YAGNI), use stdlib, use a native platform feature, use an installed dependency, write one line, or only then write the minimum that works. The result, according to the project's own benchmarks, is 80–94% less code, 3–6× faster task completion, and 47–77% lower API cost compared to a no-skill baseline — measured across Claude Haiku, Sonnet, and Opus over five everyday tasks and ten runs per cell.

    How the Ruleset Works

    The core mechanic is a six-rung decision ladder injected as always-on context every agent session:

    • Rung 1 – YAGNI: Does this need to exist? If not, skip it.
    • Rung 2 – Stdlib: Does the standard library cover it? Use it.
    • Rung 3 – Native platform: Is there a built-in browser or OS feature? Use it.
    • Rung 4 – Installed dependency: Is something already in the project? Use it.
    • Rung 5 – One line: Can it be done in one line? Write one line.
    • Rung 6 – Minimum viable: Only then write the smallest thing that works.

    Every shortcut the agent takes is marked in the output with a ponytail: comment naming its upgrade path, so technical debt is explicit and trackable. The /ponytail-debt command harvests those comments into a ledger.

    Agent Portability and Platform Support

    The README states Ponytail works with 13 agents. Installation paths include:

    • Claude Code: /plugin marketplace add + /plugin install
    • Codex: codex plugin marketplace add (also covers the Codex desktop app)
    • GitHub Copilot CLI: copilot plugin marketplace add
    • Gemini CLI / Antigravity CLI: gemini extensions install or agy plugin install
    • Pi agent harness: pi install git:github.com/DietrichGebert/ponytail
    • OpenCode: plugin field in opencode.json
    • OpenClaw: clawhub install ponytail
    • Cursor, Windsurf, Cline, Aider, Kiro, GitHub Copilot (editor): copy the matching rules file from the repo (instruction-only mode, no slash commands)

    Commands

    Skill-capable hosts (Claude Code, Codex, OpenCode, Gemini, Pi) get a set of slash commands:

    CommandPurpose
    /ponytail [lite|full|ultra|off]Set intensity or report current level
    /ponytail-reviewReview current diff for over-engineering
    /ponytail-auditAudit the whole repo, not just the diff
    /ponytail-debtHarvest deferred ponytail: shortcuts into a ledger
    /ponytail-helpQuick command reference

    The default mode is full; it can be overridden per-session or globally via the PONYTAIL_DEFAULT_MODE env var or ~/.config/ponytail/config.json.

    Update: v4.7.0 — OpenClaw Support

    The latest release, v4.7.0 ("lazy in OpenClaw now"), was published on June 16, 2026 — four days after the repository was created. The rapid release cadence and 25,000+ stars within days of launch signal strong early traction in the AI developer tooling space. The v4.7.0 release adds OpenClaw/ClawHub as a supported install target, with the .openclaw/skills/ package generated from the skills/ directory via a build script.

    Ponytail - 1

    Community Discussions

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    Share your experience with Ponytail, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open-source under the MIT license. No cost to use, modify, or distribute.

    • Full ruleset injection for all supported agents
    • All slash commands (review, audit, debt, help)
    • lite/full/ultra/off intensity levels
    • Works with 13 AI agents
    • MIT license — free to use, modify, distribute

    Capabilities

    Key Features

    • YAGNI-first decision ladder injected into AI agents
    • 80-94% less generated code vs no-skill baseline
    • 3-6x faster task completion on Claude API
    • 47-77% lower API cost per task
    • Works with 13 AI agents and coding tools
    • Always-on ruleset injection every session
    • ponytail: comments mark every shortcut with upgrade path
    • /ponytail-review command for diff-level over-engineering review
    • /ponytail-audit command for whole-repo audit
    • /ponytail-debt command to harvest deferred shortcuts into a ledger
    • lite/full/ultra/off intensity levels
    • PONYTAIL_DEFAULT_MODE env var for global default
    • Trust-boundary validation and security never skipped
    • Benchmarks reproducible via promptfoo

    Integrations

    Claude Code
    Codex
    GitHub Copilot CLI
    Gemini CLI
    Antigravity CLI
    Pi agent harness
    OpenCode
    OpenClaw / ClawHub
    Cursor
    Windsurf
    Cline
    Aider
    Kiro
    GitHub Copilot (editor)
    API Available
    View Docs

    Ratings & Reviews

    No ratings yet

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    Developer

    DietrichGebert

    DietrichGebert builds open-source developer tooling for AI coding agents, with a focus on minimalism and YAGNI-first engineering. The Ponytail project injects a strict "lazy senior dev" ruleset into agents like Claude Code, Codex, and Gemini CLI to reduce generated code by 80–94%. The project is MIT-licensed and hosted on GitHub.

    Read more about DietrichGebert
    WebsiteGitHub
    1 tool in directory

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