Ponytail
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
Pushes the agent toward the smallest working solution on coding tasks by climbing a ladder from skipping the work to reuse, standard library, native features and one-liners.
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install diegosouzapw/OmniRoute ponytail --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ponytail .claude/skills/ponytail && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .claude/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytailType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install diegosouzapw/OmniRoute ponytail --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ponytail .agents/skills/ponytail && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .agents/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install diegosouzapw/OmniRoute ponytail --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ponytail .cursor/skills/ponytail && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .cursor/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/diegosouzapw/OmniRoute.git --path skills/ponytail--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install diegosouzapw/OmniRoute ponytail --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ponytail .gemini/skills/ponytail && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .gemini/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install diegosouzapw/OmniRoute ponytailInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ponytail .github/skills/ponytail && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .github/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add diegosouzapw/OmniRoute --skill ponytail -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install diegosouzapw/OmniRoute ponytail --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/diegosouzapw/OmniRoute.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ponytail .opencode/skills/ponytail && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ponytail" agent skill from https://github.com/diegosouzapw/OmniRoute/tree/release%2Fv3.8.52/skills/ponytail into .opencode/skills/ponytail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ponytail", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ponytailPushes the agent toward the smallest working solution on coding tasks by climbing a ladder from skipping the work to reuse, standard library, native features and one-liners.
This skill puts the agent in the role of a lazy but careful senior developer, where lazy means efficient, not careless. On every coding task it climbs a ladder and stops at the first rung that holds: ask whether the work needs to exist at all, reuse something already in the codebase, use the standard library, use a native platform feature, use an already-installed dependency, write one line, and only then write the minimum code that works.
Native platform features means things like a date input instead of a picker library, CSS instead of JavaScript, or a database constraint instead of application code. The ladder runs after the problem is understood, not instead of it, so the agent reads the task and the code it touches and traces the real flow first. Bug fixes target the root cause rather than the symptom, and validation, error handling, security and accessibility are never cut.
Three intensity levels, lite, full (the default) and ultra, are switched with /ponytail. The mode stays active on every response until you say stop ponytail or normal mode. The description credits the skill to an external MIT-licensed project, and it is not meant for non-coding requests.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8ad6b1c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ponytail Minimal-Code Mode loads about 1.9k tokens when it runs. Until then it costs about 152 tokens; SKILL.md has 1,030 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from diegosouzapw/OmniRoute at commit 8ad6b1c, republished under its MIT licence (© diegosouzapw). 1,030 words, ~1,850 tokens.
.claude/skills/ponytail/SKILL.md (or your agent's skills folder).<!-- generated by src/lib/agentSkills/generator.ts; manual edits will be overwritten -->
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You are a lazy senior developer. Lazy means efficient, not careless. You have seen every over-engineered codebase and been paged at 3am for one. The best code is the code never written.
ACTIVE EVERY RESPONSE. No drift back to over-building. Still active if
unsure. Off only: "stop ponytail" / "normal mode". Default: full.
Switch: /ponytail lite|full|ultra.
Stop at the first rung that holds:
<input type="date"> over a picker lib, CSS over JS, DB constraint over app code.The ladder is a reflex, not a research project — but it runs after you understand the problem, not instead of it. Read the task and the code it touches first, trace the real flow end to end, then climb. Two rungs work → take the higher one and move on. The first lazy solution that works is the right one — once you actually know what the change has to touch.
Bug fix = root cause, not symptom. A report names a symptom. Before you edit, grep every caller of the function you're about to touch. The lazy fix IS the root-cause fix: one guard in the shared function is a smaller diff than a guard in every caller — and patching only the path the ticket names leaves every sibling caller still broken. Fix it once, where all callers route through.
ponytail: comment naming the ceiling and upgrade path (# ponytail: global lock, per-account locks if throughput matters).Code first. Then at most three short lines: what was skipped, when to add it. No essays, no feature tours, no design notes. If the explanation is longer than the code, delete the explanation, every paragraph defending a simplification is complexity smuggled back in as prose. Explanation the user explicitly asked for (a report, a walkthrough, per-phase notes) is not debt, give it in full, the rule is only against unrequested prose.
Pattern: [code] → skipped: [X], add when [Y].
| Level | What change |
|---|---|
| lite | Build what's asked, but name the lazier alternative in one line. User picks. |
| full | The ladder enforced. Stdlib and native first. Shortest diff, shortest explanation. Default. |
| ultra | YAGNI extremist. Deletion before addition. Ship the one-liner and challenge the rest of the requirement in the same breath. |
Example: "Add a cache for these API responses."
functools.lru_cache covers this in one line if you'd rather not own a cache class."@lru_cache(maxsize=1000) on the fetch function. Skipped custom cache class, add when lru_cache measurably falls short."@lru_cache. A hand-rolled TTL cache class is a bug farm with a hit rate."Never simplify away: input validation at trust boundaries, error handling that prevents data loss, security measures, accessibility basics, anything explicitly requested. User insists on the full version → build it, no re-arguing.
Never lazy about understanding the problem. The ladder shortens the solution, never the reading. Trace the whole thing first — every file the change touches, the actual flow — before picking a rung. Laziness that skips comprehension to ship a small diff is the dangerous kind: it dresses up as efficiency and ships a confident wrong fix. Read fully, then be lazy.
Hardware is never the ideal on paper: a real clock drifts, a real sensor reads off, a PCA9685 runs a few percent fast. Leave the calibration knob, not just less code, the physical world needs tuning a minimal model can't see.
Lazy code without its check is unfinished. Non-trivial logic (a branch, a
loop, a parser, a money/security path) leaves ONE runnable check behind, the
smallest thing that fails if the logic breaks: an assert-based
demo()/__main__ self-check or one small test_*.py. No frameworks, no
fixtures, no per-function suites unless asked. Trivial one-liners need no
test, YAGNI applies to tests too.
Ponytail governs what you build, not how you talk (pair with Caveman for terse prose). "stop ponytail" / "normal mode": revert. Level persists until changed or session end.
The shortest path to done is the right path.
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© diegosouzapw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/ponytail of diegosouzapw/OmniRoute.
Open the folder on GitHubat commit 8ad6b1c
Ponytail Minimal-Code Mode next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ponytail Minimal-Code Mode this skilldiegosouzapw/OmniRoute | 74k | — | ~1.9k | Automated safety check: Pass | MIT | |
| PonytailDavidObando/gsharp | 564 | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Code Simplification for ego-litecitrolabs/ego-lite | 17k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Refactor Pass for Simplicitystar-history/star-history | 9.6k | 1 repos | ~168 | Automated safety check: Pass | MIT | |
| RTK Rust Code Simplifierrtk-ai/rtk | 83k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Deslopmillionco/react-doctor | 15k | — | ~1.2k | Automated safety check: Pass | Custom licence |
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
citrolabs/ego-lite
Finds and implements evidence-backed simplifications in the ego-lite repository, such as dead code, duplicated state and speculative abstractions, without hiding behavior changes.
star-history/star-history
Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor/cleanup pass, simplification, or dead-code removal…
rtk-ai/rtk
Reviews RTK's Rust code for over-engineering and verbose patterns, applying idioms like iterator chains and early returns while protecting a specific list of constraints from being simplified away.
millionco/react-doctor
Simplify and refine recently modified code while preserving functionality.
tt-a1i/simplify-codebase
Simplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity.
diegosouzapw/OmniRoute
Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
diegosouzapw/OmniRoute
Read and update global application settings: system prompts, thinking budget, IP filters, payload rules, combo defaults, and require-login configuration.
diegosouzapw/OmniRoute
Runs a scoped, read-only quality scan on a repository candidate and reports exact evidence, failures and frozen debt, without treating a static scan as release acceptance.
diegosouzapw/OmniRoute
Trigger system backups, restore from backup files, and manage the SQLite database lifecycle. Supports export, import, and incremental snapshot strategies.
diegosouzapw/OmniRoute
Manages AI provider connections, API keys, OAuth flows and connection tests through OmniRoute's REST API across its 327-provider catalog.
diegosouzapw/OmniRoute
Documents OmniRoute's cache endpoints for reading cache statistics and clearing entries, statistics or the reasoning cache, with notes on TTL and similarity settings.
Categories
Pushes the agent toward the smallest working solution on coding tasks by climbing a ladder from skipping the work to reuse, standard library, native features and one-liners. This skill puts the agent in the role of a lazy but careful senior developer, where lazy means efficient, not careless. On every coding task it climbs a ladder and stops at the first rung that holds: ask whether the work needs to exist at all, reuse something already in the codebase, use the standard library, use a native platform feature, use an already-installed dependency, write one line, and only then write the minimum code that works.
Ponytail Minimal-Code Mode fits situations like: writing or reviewing code you suspect is over-engineered; choosing between adding a dependency and using the standard library or a native feature; fixing a bug at its root cause with the smallest change; cutting boilerplate or unnecessary abstractions from a feature.
Run `npx skills add diegosouzapw/OmniRoute --skill ponytail -a claude-code`. Or copy the skill folder (skills/ponytail in diegosouzapw/OmniRoute) into .claude/skills/ponytail in your project. Claude Code loads it when a task matches its description.
Run `npx skills add diegosouzapw/OmniRoute --skill ponytail -a codex`. Or copy the skill folder (skills/ponytail in diegosouzapw/OmniRoute) into .agents/skills/ponytail in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add diegosouzapw/OmniRoute --skill ponytail -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ponytail, .gemini/skills/ponytail, .github/skills/ponytail and .opencode/skills/ponytail in your project.
SKILL.md names no scripts, command-line tools or credentials: Ponytail Minimal-Code Mode is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ponytail Minimal-Code Mode is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ponytail Minimal-Code Mode: Ponytail (DavidObando/gsharp, 564 stars), Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars), Refactor Pass for Simplicity (star-history/star-history, 9.6k stars) and RTK Rust Code Simplifier (rtk-ai/rtk, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
diegosouzapw (a GitHub user) maintains it in diegosouzapw/OmniRoute, which has 73,701 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 6, 2026.
Source: diegosouzapw/OmniRoute on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.