ask-gemini

Consult a local Gemini CLI for brainstorming and design feedback.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/lpjhelder/kronon-forge --skill ask-gemini-lpjhelder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-gemini
Source: https://github.com/lpjhelder/kronon-forge/tree/main/skills/ask-gemini
Command: npx skills add https://github.com/lpjhelder/kronon-forge --skill ask-gemini-lpjhelder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Teams need quick access to expert-style guidance from Gemini without leaving their local environment, enabling faster iteration and decision-making.

Core Features & Use Cases

  • Local Gemini CLI access for brainstorming, critique, and decision support
  • Automated artifact capture of Gemini output for traceability and reuse
  • Safe offline operation with consistent routing through Forge

Quick Start

Run forge ask gemini with your prompt to consult the local Gemini CLI and generate a reusable artifact.

Frequently Asked Questions about ask-gemini

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

FAQPage Schema
How do I get design feedback from a local AI assistant without sending data online?

You can get local design feedback by running forge ask gemini, which routes your prompt through a local Gemini CLI to provide insights while keeping data offline. It then saves the output as a structured artifact for reuse.

Do I need a Gemini CLI installed to use Forge for local design critique?

Yes, you need a locally installed Gemini CLI and Forge integration to perform local design critique. These prerequisites ensure your queries are processed locally and the output is correctly routed and saved as reusable artifacts.

Can I use local CLI tools for iterative product ideation and save the results automatically?

Yes, you can use local CLI tools for iterative product ideation by running forge ask gemini. It consults the local Gemini CLI for decision support and automatically captures the output into a structured artifact for traceability.

When should I use a local AI assistant for feature evaluation instead of online models?

You should use a local AI assistant for feature evaluation when working offline or handling sensitive data. Local CLI routing ensures your architecture reviews and feature evaluations remain private while still generating reusable artifacts.