Skill Detail

Coordinate local agent handoffs with Sno Station

Use Sno Station to give Claude Code, Codex, OpenClaw, and related local agents shared encrypted memory, handoff messaging, peer review, and approved skill improvement loops.

Developer ToolsMulti-Framework
Developer Tools Multi-Framework Security Reviewed
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COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill coordinate-local-agent-handoffs-with-sno-station Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Local machine access, supported harnesses such as Claude Code, Codex, OpenClaw, or Hermes Agent, and the Sno CLI installed from the upstream installer.
Install & setup
Run the upstream installer from https://sno.ai/install, then run sno setup --harness codex, sno setup --harness claude, sno setup --harness openclaw, or another supported harness. In an agent session, say Sno onboarding to complete the guided setup.
Author
sno-ai
Publisher
Open Source
Last updated
Oct 8, 2026
Quick brief

Use Sno Station when a user wants multiple local agents to continue each other’s work, review each other, or preserve project memory without relying on a cloud daemon. The operator installs the `sno` command, runs setup for each supported harness, and invokes workflows such as onboarding, Reach handoff, peer review, and approved nightly skill reflection. Invoke this instead of using each agent product separately when continuity, cross-agent handoff, or review is the actual task. The scope boundary is local multi-agent coordination for existing harnesses, not a generic chat product, hosted agent platform, SDK, or framework listing.

How it works

What this skill actually does

Inputs and prerequisites: Local machine access, supported harnesses such as Claude Code, Codex, OpenClaw, or Hermes Agent, and the Sno CLI installed from the upstream installer..

Setup notes: Run the upstream installer from https://sno.ai/install, then run sno setup –harness codex , sno setup –harness claude , sno setup –harness openclaw , or another supported harness. In an agent session, say Sno onboarding to complete the guided setup.

Source and verification boundary: use https://sno.ai as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.