q

Answer technical questions by verifying codebase state and documentation.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/EdgeApp/edge-dev-agents --skill q-edgeapp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: q
Source: https://github.com/EdgeApp/edge-dev-agents/tree/main/.cursor/skills/q
Command: npx skills add https://github.com/EdgeApp/edge-dev-agents --skill q-edgeapp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates guesswork and sycophantic filler in AI responses, ensuring you receive precise, verifiable, and intellectually honest answers regarding codebase or project-specific queries.

Core Features & Use Cases

  • Evidence-Based Verification: Automatically cross-references codebase state and documentation to ensure accuracy.
  • Ambiguity Resolution: Proactively identifies multiple interpretations of a question to prevent incorrect assumptions.
  • Use Case: When you need to know if a specific API change is supported by the current codebase, this skill will search the repository and provide a definitive answer based on the actual implementation rather than generic knowledge.

Quick Start

Use the q skill to explain the current implementation logic for the authentication module in this repository.

Frequently Asked Questions about q

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

FAQPage Schema
How do I get accurate, evidence-based answers about my codebase?

To get evidence-based answers, use a verification skill that cross-references technical questions against your actual codebase state and documentation. This ensures you receive precise, verifiable information regarding project-specific queries instead of generic knowledge.

How can I verify if a specific API change is supported by my current codebase?

You can verify API support by querying your codebase to check the actual implementation. The skill searches the repository and provides a definitive answer based on the current codebase state rather than relying on generic assumptions.

Why does AI give sycophantic filler instead of objective answers for technical queries?

Generic AI often provides sycophantic filler because it lacks project context. You can eliminate this guesswork by applying a skill that verifies information against your codebase, ensuring intellectually honest, structured, and non-sycophantic communication.

Can AI resolve ambiguity when answering questions about software development workflows?

Yes, the skill proactively identifies multiple interpretations of a question to prevent incorrect assumptions. This ambiguity resolution ensures you receive high-confidence, version-specific information tailored to your software development workflows.

What is the best way to explain the current implementation logic for a repository module?

The best way to explain implementation logic is to query the repository directly. The skill analyzes the actual codebase state and documentation to provide an accurate, structured explanation of the module's current implementation.