ask

Route prompts to AI services and store results as artifacts.

Updated Mar 11, 2025
One-click install
npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill ask-mohammedsaudalsahli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask
Source: https://github.com/MohammedSaudAlsahli/dotfiles/tree/main/ai/agents-skills/ask
Command: npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill ask-mohammedsaudalsahli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The 'ask' Skill simplifies the process of routing queries to various AI services and capturing their responses, eliminating the need for manual CLI commands and ensuring results are stored for future reference.

Core Features & Use Cases

  • AI Query Routing: Directly route queries to Claude, Codex, Gemini, Antigravity, Grok, or Cursor without manually invoking CLI commands.
  • Artifact Capture: Stores the output of each query as an artifact for later review.
  • Use Case: When you need to get a quick review of a code snippet from multiple AI services without typing out each command manually.

Quick Start

To get a review of a code snippet from Claude, simply type: /oh-my-claudecode:ask claude "review this code snippet for potential issues"

Frequently Asked Questions about ask

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

FAQPage Schema
How do I route a single code review prompt to multiple AI services without manual CLI commands?

AI query routing directs your prompt to Claude, Codex, Gemini, Antigravity, Grok, or Cursor automatically. It eliminates manual CLI commands by capturing and storing each response as an artifact for streamlined code review management.

What is artifact capture in AI query management and when do I need it?

Artifact capture stores the output of each AI query as a retrievable record. You need it when performing automated analysis or generating documentation, ensuring AI responses are saved for future reference rather than being lost.

Can I use this AI query routing skill for automated code analysis and documentation generation?

Yes, AI query routing is suitable for automated analysis and documentation generation. It routes prompts to your chosen AI service and captures the results, streamlining repetitive query tasks in software engineering workflows.

Does AI query routing require any specific advisor skill or dependencies to execute?

AI query routing requires OMC's canonical advisor skill for execution. It has no other dependencies, but you must have the canonical advisor environment configured to route prompts and capture results successfully.

What is the best way to capture and store AI responses from Cursor or Grok for later review?

The best way to capture AI responses is using automated artifact capture, which stores the output of queries routed to services like Cursor or Grok. This ensures your AI results are permanently saved for later review.

Why does automated query routing eliminate the need to manually invoke AI service CLIs?

Automated query routing eliminates manual CLI invocation by abstracting the command execution into a single routing interface. This prevents typing errors and ensures every response is consistently captured as an artifact.