deep-research

Gather and assess evidence from internal and external sources for decisions.

4|Updated Jan 28, 2026

Search Tags:#evidence #calibration #decision-making #deep-research #reference-class #unknown-knowables

Ready to run

npx skills add https://github.com/wme3/DeliberateDecisions --skill deep-research-wme3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/wme3/DeliberateDecisions/tree/main/skills/deep-research
Command: npx skills add https://github.com/wme3/DeliberateDecisions --skill deep-research-wme3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This section describes how deep research helps decision-makers fill knowledge gaps by systematically collecting, validating, and organizing evidence to ground conclusions in verifiable data.

Core Features & Use Cases

Evidence gathering: Prioritize unknowns and collect internal and external sources to inform decisions.
Reference-class framing: Identify historical analogs, base rates, and lessons learned to calibrate risk.
Evidence quality assessment: Evaluate credibility, recency, relevance, and methodology for each data point.

Quick Start

State your decision and any known gaps, and instruct the AI to begin deep research to gather evidence.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I gather evidence to ground high-stakes decision-making?▼

To ground high-stakes decision-making, you gather evidence by prioritizing unknowns and collecting internal inquiries, documents, and external market data. This process validates source credibility, recency, and methodology to ensure conclusions are verifiable.

What is reference-class analysis and how does it calibrate risk?▼

Reference-class analysis calibrates risk by identifying historical analogs, base rates, and lessons learned. This framing addresses unknown-knowables, allowing decision-makers to systematically compare current situations against historical outcomes rather than relying solely on internal projections.

How do I assess evidence quality for internal and external market data?▼

Assess evidence quality for internal and external market data by evaluating source credibility, recency, relevance, and methodology. This systematic validation filters out weak data points, ensuring that only robust evidence informs your final synthesis and conclusions.

What's the best way to identify unknown-knowables before making a decision?▼

Identify unknown-knowables by explicitly scoping internal inquiries and external market data to fill knowledge gaps. This deep research process prioritizes these missing data points, systematically collecting and validating evidence to ground your conclusions in verifiable data.

Can I use reference-class framing for complex market data synthesis?▼

Yes, you can use reference-class framing for complex market data synthesis. By identifying historical analogs and base rates alongside your gathered market data, you calibrate risk and guide the prioritization and synthesis of evidence for high-stakes decisions.