Agent skill

setup

Run initial NanoClaw setup. Use when user wants to install NanoClaw, configure it, or go through first-time setup. Triggers on "setup", "install", "configure nanoclaw", or first-time setup requests.

NanoCo30,389★ · +78/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add nanocoai/nanoclaw --skill setup --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: .claude/skills/setup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 30,426 · +37 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# NanoClaw Setup Tell the user to run `bash nanoclaw.sh` in their terminal. That script handles the full end-to-end setup — dependencies, container image, OneCLI vault, Anthropic credential, service, first agent, and optional channel wiring. If they hit an error partway through, the script offers Claude-assisted recovery inline and resumes from where it stopped.

More from nanoclaw
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About this skill
What does the setup skill do?

Run initial NanoClaw setup. Use when user wants to install NanoClaw, configure it, or go through first-time setup. Triggers on "setup", "install", "configure nanoclaw", or first-time setup requests.

How do I install it?

Run `npx skills add nanocoai/nanoclaw --skill setup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From nanocoai/nanoclaw, a repository with 30,426 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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