What aggregation methods does this skill support?

It supports simple averages for symmetric data, medians to resist outliers, trimmed means to remove extremes, and weighted averages based on a participant's past accuracy.

Why is independence critical for crowd aggregation?

Independence prevents groupthink and anchoring. When participants influence each other, their errors become correlated rather than random, which destroys the collective accuracy of the group.

What is the Wisdom of Crowds principle?

It is a phenomenon where the collective judgment of a diverse group of independent individuals is often more accurate than that of any single expert, as individual errors tend to cancel each other out.

How does this Claude Code skill improve project estimation?

It provides a structured framework for collecting independent inputs from team members and aggregating them using statistical methods to produce a more reliable final estimate.

When should I avoid using Wisdom of Crowds?

Skip this method if the group lacks diversity, if the answer is easily verifiable through a simple count, or if the task requires highly specialized technical expertise like surgery techniques.

Wisdom of Crowds Aggregator

Name: Wisdom of Crowds Aggregator
Author: lev-os

bylev-os

0•

Productividad y Flujo de Trabajo

Improves prediction accuracy by aggregating diverse, independent estimates from multiple sources to outperform individual experts.

This skill implements the Wisdom of Crowds framework to help Claude generate more accurate forecasts, project timelines, and risk assessments. By guiding the process of collecting independent, decentralized judgments and applying specific aggregation methods like simple averaging, medians, or weighted track records, it minimizes individual bias and enhances collective intelligence. It is particularly valuable for complex decision-making and estimation tasks where information is distributed across a group and no single person has a monopoly on the truth.

Características Principales

01Identifies and mitigates cognitive biases like groupthink and anchoring

02Provides structured guidance for weighting estimates based on historical track records

03Facilitates iterative estimation rounds to refine collective accuracy over time

040 GitHub stars

05Supports multiple aggregation methods including Simple Average, Median, and Trimmed Mean

06Implements Surowiecki’s four pillars: Diversity, Independence, Decentralization, and Aggregation

Casos de Uso

01Prioritizing bug severity and feature impact through multi-perspective triage

02Estimating software project shipping timelines, resource costs, and technical debt

03Conducting market sizing, probability-based risk assessments, and internal forecasting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents wisdom-of-crowds-aggregation

For use in Claude.ai and ChatGPT

Características Principales

01Identifies and mitigates cognitive biases like groupthink and anchoring

02Provides structured guidance for weighting estimates based on historical track records

03Facilitates iterative estimation rounds to refine collective accuracy over time

040 GitHub stars

05Supports multiple aggregation methods including Simple Average, Median, and Trimmed Mean

06Implements Surowiecki’s four pillars: Diversity, Independence, Decentralization, and Aggregation

Casos de Uso

01Prioritizing bug severity and feature impact through multi-perspective triage

02Estimating software project shipping timelines, resource costs, and technical debt

03Conducting market sizing, probability-based risk assessments, and internal forecasting