consult-empirical

Analyzes project experiment history to answer questions about prior results and patterns.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/ScavieFae/autonomous-world-model --skill consult-empirical
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: consult-empirical
Source: https://github.com/ScavieFae/autonomous-world-model/tree/main/.claude/skills/consult-empirical
Command: npx skills add https://github.com/ScavieFae/autonomous-world-model --skill consult-empirical

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review project experiment history to answer questions about what's been tried, what worked, hit rates, and empirical patterns. Use when proposing a new experiment direction and you need to check whether it's been explored, or when evaluating results against prior findings.

Core Features & Use Cases

  • Read prioritized knowledge sources, including run cards, decisions, RESEARCH-LOG, and the experiments index.
  • Cite experiment records precisely by IDs and summarize outcomes with hit rates and patterns.
  • Identify open questions and considerations by comparing past results to current proposals.

Quick Start

Ask a precise question about experiment history and the skill will search its knowledge base to return relevant experiment IDs and results.

Frequently Asked Questions about consult-empirical

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

FAQPage Schema
How do I search experiment history to see what has been tried in a project?▼

You can search experiment history by querying the skill, which reads run cards, decisions, RESEARCH-LOG, and the experiments index to return precise experiment IDs and observed outcomes for your project.

What is the best way to compare hit rates across past experiments?▼

The best way to compare hit rates is by applying this skill to evaluate past experiments; it extracts statuses and RC values from YAML frontmatter to summarize outcomes and identify empirical patterns across records.

Can I check if a research direction has already been explored in my decision-tracking logs?▼

Yes, you can check if a research direction was explored by querying the skill. It searches decision-tracking logs and run cards to cite concrete experiment IDs, helping you evaluate current proposals against prior findings.

Does this experiment analysis tool work with YAML frontmatter and narrative notes?▼

Yes, this experiment analysis tool reads YAML frontmatter and narrative notes from docs/experiments and related sources to extract statuses, RC values, and conclusions for synthesizing empirical findings and answering questions.

When should I use an experiment history synthesis tool for research logs?▼

You should use an experiment history synthesis tool when proposing a new experiment direction and needing to check whether it has been explored, or when evaluating current results against prior findings and empirical patterns.