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expert

Re-derives a prior suggestion or grilling round from a domain expert's perspective.

3|Updated Jan 10, 2026
Search Tags:#trade-off analysis#decision review#design critique#expert review#re-derivation#grilling round
One-click install
npx skills add https://github.com/MaxWolf-01/agents --skill expert-maxwolf-01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: expert
Source: https://github.com/MaxWolf-01/agents/tree/main/mx/skills/expert
Command: npx skills add https://github.com/MaxWolf-01/agents --skill expert-maxwolf-01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Initial AI-generated suggestions and design critiques often settle for the cheapest answer that satisfies stated constraints rather than the choice a true domain expert would defend. This Skill forces a rigorous second pass that surfaces hidden trade-offs and weak reasoning. ## Core Features & Use Cases - Expert Re-derivation: Re-examines every decision in the previous output by asking what the best expert in that field would choose, argue for, and reject. - Trade-off Transparency: States every trade-off explicitly instead of silently absorbing them, rejecting choices justified only by "the user would probably accept it." - Full Restatement: Re-delivers the result completely re-derived rather than defended, including re-running grilling rounds as fresh rounds of design questions. - Use Case: After receiving a system design proposal or a critical review, invoke this Skill to have the reasoning redone from an expert standpoint, exposing decisions that would not survive expert scrutiny. ## Quick Start Ask the assistant to redo its last answer using the expert skill so every decision is re-derived from the best expert's perspective.

Frequently Asked Questions about expert

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

FAQPage Schema
How do I get a second opinion on an AI-generated design?▼

Invoke the expert skill after receiving a design or proposal. It re-derives every decision from the perspective of the best expert in that field, stating what they would choose, argue for, and reject, then restates the full result.

How to make AI responses more rigorous instead of agreeable?▼

Use a re-derivation pass that forbids choices justified by "the user would probably accept it." This skill requires each decision to survive expert scrutiny and every trade-off to be stated explicitly rather than absorbed silently.

What is the difference between defending and re-deriving an answer?▼

Defending justifies the original output as given, while re-deriving reconstructs the result from scratch under stricter criteria. This skill re-derives, so a grilling round is redone as a fresh round of design and questions.

When should I not use an expert re-derivation pass?▼

Avoid it for quick factual lookups or simple tasks where constraint-satisfying answers are sufficient. It adds a full reasoning pass, so it is best reserved for designs, critiques, and decisions with real trade-offs.

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