ponytail
Skill2 starsChanged 40 days agoApache-2.0View on GitHub
Anti-overengineering discipline applying the 7-Rung Ladder of Laziness across Zero Factory roles.
144 other projects use a version of this.
Adopted by
Most recently taken up by
- ForgeyClap/Forge-Coretheir own version, first seen Nov 8, 2026
- Anning01/novelvidstheir own version, first seen Nov 8, 2026
- kortix-ai/sunatheir own version, first seen Nov 8, 2026
- OpenStrap/edgetheir own version, first seen Nov 8, 2026
- TNTcraftHIM/Piiktheir own version, first seen Nov 8, 2026
- gaoyu06/harnesstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use reimagine, herdr-cli and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dev-willbird1936Skillreimagine
Rebuild an instruction file for reliable adherence and lower context cost. Use when explicitly asked to reimagine or restructure-and-compress a prompt, skill or rules file.
Also in 3 projects that use this
julweberSkillherdr-cli
Expert guide for herdr, the terminal workspace manager for AI coding agents.
Also in 3 projects that use this
vikas8520-coderSkillcli-backup-sync
Backup and restore Nerve data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
Also in 3 projects that use this
vikas8520-coderSkillcli-batches
Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
Also in 3 projects that use this
- +8 more from vikas8520-coder
Other versions144 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 144
- DietrichGebert/ponytail★ 182ksame name
- cheaper-inference/OmniRoute★ 86ksame name
- diegosouzapw/OmniRoute★ 86ksame name
- kortix-ai/suna★ 21ksame name
- kortix-ai/CompanyOS★ 21ksame name
- jeffvli/feishin★ 10ksame name
- pollinations/pollinations★ 5.3ksame name
- graphif/project-graph★ 4.5ksame name
- TNTcraftHIM/Piik★ 4.1ksame name
- TanStack/ai★ 3.3ksame name
134 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- openwikiSkill
- zerofactory-orchestrationSkill
- zf-builder-ponytailSkill
- zf-orchestrator-ponytailSkill
- zf-reviewer-ponytailSkill
The file
Files
Ponytail — Anti-Overengineering & The Ladder of Laziness
"The best code is the code you never wrote."
Ponytail is an engineering philosophy designed to eliminate speculative complexity, dependency bloat, and code clutter. It guides AI agents to think like pragmatic senior developers who prioritize simplicity, standard libraries, and deleting code over building complex monuments.
The canonical core decision framework is defined in The 7-Rung Ladder of Laziness.
Role-Specific Ponytail Skills
Zero Factory divides Ponytail into three specialized playbooks tailored to each agent role:
zf-builder-ponytail:- Code authoring discipline.
- Minimal surgical diffs, stdlib-first implementations, dependency vetoes, and pre-handoff hygiene checklists.
zf-orchestrator-ponytail:- Codebase auditing and improvement scanning rubric.
- Heuristics for detecting dead code, unused exports, and over-engineered abstractions, and filing actionable
refactoringtasks forzf-builder.
zf-reviewer-ponytail:- Pull Request review gatekeeping.
- Checklists for identifying diff bloat, redundant dependencies, and speculative abstractions, especially during Round 3: Clean Code & Refactoring.
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
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.

