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Moliboy5000
Moliboy5000COMMUNITY
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ask

Query local Claude, Codex, or Gemini CLIs and persist outputs as reusable artifacts.

Updated Mar 14, 2026
Search Tags:#code generation#cli#llm#artifact#prompting
One-click install
npx skills add https://github.com/Moliboy5000/.claude --skill ask-moliboy5000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ask
Source: https://github.com/Moliboy5000/.claude/tree/main/plugins/cache/omc/oh-my-claudecode/4.8.2/skills/ask
Command: npx skills add https://github.com/Moliboy5000/.claude --skill ask-moliboy5000

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows you to interact with local command-line interfaces for Claude, Codex, or Gemini, capturing their responses as reusable artifacts.

Core Features & Use Cases

  • Multi-LLM Support: Choose between Claude, Codex, or Gemini for your queries.
  • Artifact Persistence: Saves the output of your prompts in a structured format for later use.
  • Use Case: Quickly get code suggestions from Codex, draft an implementation plan with Claude, or brainstorm UX improvements with Gemini, all from your local terminal.

Quick Start

Ask Gemini to suggest UX improvements for the current flow.

Frequently Asked Questions about ask

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

FAQPage Schema
How do I route prompts to local LLM CLIs and save the outputs?▼

You can route prompts to local Claude, Codex, or Gemini CLIs to generate code or text, then automatically capture and persist the LLM outputs as structured artifacts for later reuse.

Do I need authenticated local installations of Claude or Gemini CLI to use this?▼

Yes, you must have authenticated local installations of the specified LLM CLIs, such as Claude, Codex, or Gemini, properly set up in your terminal environment for the Skill to operate.

Can I query multiple local LLMs like Codex and Claude for different tasks?▼

Yes, you can choose between Claude, Codex, or Gemini for your queries, allowing you to get code suggestions from Codex, draft plans with Claude, or brainstorm with Gemini.

How does capturing LLM outputs as artifacts facilitate iterative development?▼

Capturing LLM outputs as artifacts saves the results of your prompts in a structured format, enabling knowledge management and iterative development by making previous responses reusable.

What is the best way to manage prompt-based code generation tasks locally?▼

The best way is to use a Skill that queries your local LLM CLIs for prompt-based tasks and captures the outputs as reusable artifacts, facilitating structured knowledge management and iterative coding.

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