Sno Station Skills
Sno Station Skills: 31 tested skills that turn Claude Code and Codex into one working team. Cross-vendor peer review, automatic handoff when an agent hits its quota, a one-page…
Install: git clone https://github.com/sno-ai/sno-station-skills
Works with Claude Code, Codex · 335 GitHub stars
Install
git clone https://github.com/sno-ai/sno-station-skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Sno Station Skills — The working habits of a real team, installed into your AI agents.
One AI agent is a brilliant new hire with no colleagues. It reviews its own work, so it misses what it cannot see. It stops dead when its quota runs out, at 3 a.m., halfway through your build. It says "done" when the tests are green and nothing actually happened. It builds three layers of machinery you never asked for. And tomorrow it makes the same mistake it made today, because nobody told it otherwise.
Sno Station Skills fixes the team, not the model. These are the skills Sno Station installs into the agents you already run. They give Claude Code and Codex the habits every good engineering team has: a second pair of eyes from a different vendor, a clean handover when someone has to leave, a lead who hands out work with a written definition of done, a one-page brief when you come back, and a retrospective every night that turns this week's mistakes into next week's rules.
Dual Brain: different roles, one team. One agent carries out your task. The other reviews the result against your requirements. Claude Code and Codex can take either role. When both CLIs are installed, the review runs in the other vendor's CLI, in a fresh session with none of the author's conversation. The agents exchange findings and corrections. Add more roles, and you have an Agent Squad.
Work that finishes while you sleep. Arm it before bed, and when the working agent's subscription runs low it writes a handover brief while it still can, wakes an agent from the other vendor, and hands the task over with the exact commit to continue from. Your build does not care which vendor finished it.
"Done" means proven. Every task can carry a written list of success checks, each one answered pass or fail by a real run. Nothing counts as done because an agent said so.
Tested before it ships. Every skill in a release passed its own self-tests on a clean copy, was scanned for personal paths and leftovers, and carries a stamp that says so. A skill that fails is not published.
Install · What changes for you · Stories from our own machine · The skills · Built to be trusted · For skill authors · License
Install
Last updated 2026-10-08. The easiest way: tell your AI agent install sno.ai from GitHub.
Or do it yourself. Install the sno command once, then run sno setup for each agent you use.
It installs every skill in this repository, plus the small programs they call (each one runs as
sno <name>), into every agent it finds:
# Install the sno command once
sh -c 'sno_installer_body=$(curl -fsSL https://sno.ai/install) && printf "%s\n" "$sno_installer_body" | sh'
# Claude Code
sno setup --harness claude
# Codex CLI
sno setup --harness codex
sno setup also supports OpenClaw and Hermes Agent. Each skill declares what it needs from the
agent (a shell, background processes, a hook that adds context before each turn), and setup
reads that declaration to install the skill fully, install it in a reduced form, or skip it on
an agent that cannot run it. You never get a skill that silently cannot work.
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