sno-station-skills

Sno Station Skills is a set of 31 skills that adds peer review, quota handoffs, and daily reports to Claude Code and Codex for developers running long agent work.

What it is good for

  • Getting code reviewed by a second AI model before shipping
  • Continuing a long coding task when an agent runs out of quota
  • Getting a one-page summary of overnight agent work
  • Learning repeated coding mistakes from past agent sessions

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Not stated
Type
Skill or plugin
Tasks
Works with
Claude Code, Codex, OpenClaw, Hermes Agent

Momentum

Rank this week
Not ranked (last #99, week 43, 2026)
Best rank
#73 week 41, 2026
GitHub stars
861

GitHub numbers as of Nov 2, 2026. Updated weekly.

0 477 955 Sep 24, 2026 Nov 2, 2026
GitHub stars for sno-station-skills: 0 on Sep 24, 2026, 861 on Nov 2, 2026. Source: GitHub.

Ranking history

First ranked in week 41, 2026.

Official links

Setup steps are on the official pages. We do not repeat them here, since they change.

Questions

Do I need to know how to code to use sno-station-skills?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does sno-station-skills work with?
According to its own documentation, it works with Claude Code, Codex, OpenClaw, and Hermes Agent.
What is sno-station-skills good for?
Getting code reviewed by a second AI model before shipping, continuing a long coding task when an agent runs out of quota, getting a one-page summary of overnight agent work, and learning repeated coding mistakes from past agent sessions.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. Parts of this summary required judgment because the source material was brief. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.