Agent skill

gemini

Gemini CLI for one-shot Q&A, summaries, and generation.

SafeAI-Lab-Xgithub.com/SafeAI-Lab-XGitHub ↗
claude-code
Install
npx skills add SafeAI-Lab-X/ClawKeeper --skill gemini --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: legacy/clawkeeper-watcher/skills/gemini/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,027
Language: TypeScript

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

From the SKILL.md

# Gemini CLI Use Gemini in one-shot mode with a positional prompt (avoid interactive mode). Quick start - `gemini "Answer this question..."` - `gemini --model <name> "Prompt..."` - `gemini --output-format json "Return JSON"` Extensions - List: `gemini --list-extensions` - Manage: `gemini extensions <command>` Notes - If auth is required, run `gemini` once interactively and follow the login flow. - Avoid `--yolo` for safety.

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About this skill
What does the gemini skill do?

Gemini CLI for one-shot Q&A, summaries, and generation.

How do I install it?

Run `npx skills add SafeAI-Lab-X/ClawKeeper --skill gemini --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 SafeAI-Lab-X/ClawKeeper, a repository with 1,027 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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