expert-consult

Dispatch 2–4 expert agents in parallel and synthesize disagreement into a structured summary.

1|Updated Jul 31, 2023
One-click install
npx skills add https://github.com/austintheriot/dotfiles --skill expert-consult
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: expert-consult
Source: https://github.com/austintheriot/dotfiles/tree/main/.claude/skills/expert-consult
Command: npx skills add https://github.com/austintheriot/dotfiles --skill expert-consult

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

expert-consult helps you answer open-ended questions that span multiple expert perspectives by running a small panel in parallel and synthesizing their outputs while preserving genuine disagreement.

Core Features & Use Cases

  • Lens selection and parallel dispatch: Classifies which expert lenses apply and dispatches 2–4 consult-capable agents concurrently to cover the question’s cross-cutting dimensions.
  • Disagreement-preserving synthesis: Produces a structured synthesis that highlights both where experts agree and where they diverge, including why the tension exists.
  • User-controlled scope: Uses a soft cap of 4 agents and confirms before exceeding, keeping cost and relevance aligned with your intent.
  • Best-fit situations: Product, architecture, data consistency, reliability, strategy, and other trade-off questions where different schools of thought plausibly optimize for different priorities.

Quick Start

Ask expert-consult: "What should I do about <your question>, and which trade-offs should I consider from multiple expert perspectives?"

Frequently Asked Questions about expert-consult

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

FAQPage Schema
What is multi-expert panel consultation for systems design?

Multi-expert panel consultation is a process that dispatches 2–4 consult-capable agents in parallel to analyze cross-cutting architecture and strategy questions. It classifies applicable expert lenses, evaluates trade-offs concurrently, and produces a structured synthesis that preserves genuine disagreements to guide decision-making.

How do I analyze architecture trade-offs from multiple expert perspectives?

To analyze architecture trade-offs, you ask a question spanning multiple domains and the system dispatches 2–4 expert agents in parallel. Each agent operates with explicit panel context, evaluating the design from its specific lens before a structured synthesis highlights both agreement and divergence to prompt your final decision.

Does expert consultation preserve disagreement during strategy synthesis?

Yes, expert consultation explicitly preserves disagreement during strategy synthesis. It produces a structured summary that highlights where experts agree and where they diverge, explaining why tensions exist so you can understand the trade-offs rather than receiving a single averaged recommendation.

Can I use parallel reasoning for open-ended product strategy questions?

You can use parallel reasoning for open-ended product strategy questions where different schools of thought optimize for different priorities. The system applies a soft cap of 4 agents to keep cost and relevance aligned, confirming with you before exceeding this scope.

What are the limitations of using parallel agents for trade-off analysis?

The main limitation is scope control, managed by a soft cap of 4 parallel agents to prevent excessive cost and maintain relevance. It is not suited for questions requiring a single definitive answer, as the mechanism is designed to preserve tension and prompt user decision-making rather than resolve disagreement automatically.