ask-gemini

Query Gemini via local CLI and save a structured artifact.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/byonk19-svg/rt-scheduler --skill ask-gemini-byonk19-svg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-gemini
Source: https://github.com/byonk19-svg/rt-scheduler/tree/main/.codex/skills/ask-gemini
Command: npx skills add https://github.com/byonk19-svg/rt-scheduler --skill ask-gemini-byonk19-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini can be used to brainstorm and critique ideas via the local CLI, and this skill captures a reusable artifact for sharing and auditing.

Core Features & Use Cases

  • Local Gemini CLI execution for quick, in-context advice.
  • Automatic artifact generation that records the original task, prompts, Gemini output, concise summary, and next steps.
  • Flexible routing and fallback messaging when Gemini CLI is unavailable.

Quick Start

Run /ask-gemini <question> to start a Gemini session and automatically save the resulting artifact to .omx/artifacts/gemini-ask-gemini-<timestamp>.md

Frequently Asked Questions about ask-gemini

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use the Gemini CLI to brainstorm ideas and save the output?

To get AI design feedback via the Gemini CLI, run the local command to query Gemini during your review process, which automatically generates a standardized artifact capturing the critique and actionable next steps.

Can I generate a reusable AI brainstorming artifact for auditing?

When you need quick AI guidance during ideation, executing the Gemini CLI locally provides in-context advice and automatically saves a structured artifact to your local directory for repeatable auditing and sharing.

Does the local Gemini CLI fallback gracefully if the binary is unavailable?

No prerequisites are needed beyond having the Gemini CLI binary available locally, as the skill manages fallback behavior if the binary is missing and handles the artifact generation automatically.

What is the best way to capture AI design feedback locally for sharing?

After generating the standardized artifact with Gemini output and next steps, you can proceed with downstream analysis, format conversion, or sharing the markdown file for team auditing.