Where are the captured responses stored?

All responses are written as markdown artifacts to the '.omc/artifacts/ask/' directory within your local project.

What is the primary benefit of the OMC Ask skill?

It allows you to query multiple local AI engines and automatically save their output as structured markdown files for versioning and future reference.

Which AI providers are supported by this skill?

The skill currently supports Claude, Codex, and Gemini, provided their respective local CLIs are installed and authenticated on your system.

Do I need separate accounts for the AI providers?

Yes, you must have the specific provider's CLI (e.g., Claude CLI) installed and authenticated before the Ask skill can route prompts to it.

How does this skill help with documentation?

By automatically creating artifacts, every prompt and AI response becomes a permanent part of your project's local history, making it easy to convert AI suggestions into technical documentation.

Multi-Model CLI Bridge

Name: Multi-Model CLI Bridge
Author: hazelugo

byhazelugo

0•

생산성 및 워크플로

Routes prompts to local Claude, Codex, or Gemini CLIs and automatically captures responses as reusable markdown artifacts.

The Ask skill for Claude Code streamlines the process of querying multiple local AI engines directly from your terminal environment. By acting as a canonical advisor, it eliminates the manual overhead of switching between different command-line interfaces, allowing you to route tasks to Claude, Codex, or Gemini and persist every response as a structured markdown file. This ensures that valuable insights, code reviews, and implementation plans are captured, timestamped, and ready for future reference within your project's local workspace.

주요 기능

01Unified interface for Claude, Codex, and Gemini local CLIs

020 GitHub stars

03Time-stamped and slug-based file naming for easy retrieval

04Streamlined command syntax for rapid cross-model querying

05Verification checks for local CLI availability and versions

06Automatic persistence of AI responses as local artifacts

사용 사례

01Comparing security perspectives on code patches across different LLMs

02Generating and saving UI/UX improvement suggestions for specific user flows

03Drafting complex implementation plans and persisting them as project documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hazelugo/fav_gits ask

For use in Claude.ai and ChatGPT