god-ask

Route questions to specialist agents via DAI-001 dynamic selection.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ste-bah/archon --skill god-ask
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: god-ask
Source: https://github.com/ste-bah/archon/tree/main/.claude/skills/god-ask
Command: npx skills add https://github.com/ste-bah/archon --skill god-ask

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically routes questions to the most suitable specialist agent using DAI-001 dynamic selection, enabling faster, more accurate responses and continuous learning.

Core Features & Use Cases

  • Dynamic specialist routing: automatically selects the best agent for a query using the universal God Agent framework.
  • Learning trajectory: creates and tracks a feedback-enabled trajectory for each interaction.
  • Knowledge-base integration: leverages stored patterns to improve future responses and tool choices.

Quick Start

Ask a complex question and let the God Agent route it to the best specialist and return the answer.

Frequently Asked Questions about god-ask

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

FAQPage Schema
How does dynamic agent selection work for multi-agent routing?

Dynamic agent selection automatically routes a query to the most suitable specialist agent using the DAI-001 framework. It evaluates the question, selects the best agent, and leverages a knowledge base to return accurate responses.

How do I route complex questions to a specialist agent?

You route complex questions by submitting the query to the God Agent. The system handles subagent orchestration, dynamically selects the best specialist, creates a learning trajectory, and captures feedback to return the answer.

What is a learning trajectory in multi-agent orchestration?

A learning trajectory is a feedback-enabled track created for each interaction. It records the dynamically selected agent routing path and leverages stored knowledge-base patterns to improve future responses and tool choices.

Can I use knowledge-base patterns to improve agent feedback capture?

Yes, knowledge-base integration leverages stored patterns to improve future responses. The system creates a feedback-enabled trajectory for each interaction, capturing data to continuously refine subagent orchestration and tool choices.

Does the God Agent framework support subagent orchestration without dependencies?

Yes, the framework supports subagent orchestration with dynamic selection and feedback capture without requiring external dependencies. It uses an internal knowledge base to route questions and create learning trajectories autonomously.

When should I not use dynamic agent selection for question routing?

Dynamic agent selection is not suited for simple queries lacking the complexity to require a specialist. If a question needs no subagent orchestration, trajectory creation, or knowledge-base search, the dynamic routing overhead provides no benefit.