lofn-evaluation

Rank Lofn concept and medium pairs via panel voting and weighted scoring.

19|1|Updated Mar 26, 2024
One-click install
npx skills add https://github.com/LocalSymmetry/lofn --skill lofn-evaluation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lofn-evaluation
Source: https://github.com/LocalSymmetry/lofn/tree/main/skills/evaluation
Command: npx skills add https://github.com/LocalSymmetry/lofn --skill lofn-evaluation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps teams choose the strongest creative direction when many concept and medium options compete for attention, reducing subjective drift and inconsistent judgment.

Core Features & Use Cases

  • Panel-Based Evaluation: Builds concept, medium, and context panels with experts and a devil’s advocate to stress-test ideas.
  • Scoring and Ranking: Scores creative pairs against shared facets, tallies votes, and orders candidates from strongest to weakest.
  • Competition Workflow Support: Useful for art competitions, prompt engineering runs, and final selection of winners before production.

Quick Start

Use the lofn-evaluation skill to review the candidate concept and medium pairs, score them with the panel, and return the ranked winners in the required JSON format.

Frequently Asked Questions about lofn-evaluation

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

FAQPage Schema
How does panel-based evaluation rank creative concept and medium pairs?

Panel-based evaluation ranks creative concept and medium pairs by configuring expert panels and a devil's advocate to stress-test ideas, score them against shared facets, and tally votes to order candidates from strongest to weakest.

How do I score creative outputs for an art competition before final prompt generation?

To score creative outputs for an art competition, configure a panel with experts, perform per-pair voting on concept and medium candidates against shared facets, and generate a JSON-compatible ranked output to select winners before final prompt generation.

What is the best way to reduce subjective drift when selecting from multiple creative directions?

The best way to reduce subjective drift when selecting creative directions is to apply weighted scoring across shared facets using a structured panel, ensuring consistent judgment and objective ranking of concept and medium pairs.

Can I use panel-based creative scoring for music and video competition runs?

Yes, you can use panel-based creative scoring for music, video, art, and story competition runs, applying expert-style judgment and weighted facet scoring to rank concept and medium pairs across these formats.

Does creative ranking require a specific output format for prompt engineering workflows?

Yes, creative ranking requires a JSON-compatible ranked output format to seamlessly integrate with prompt engineering workflows, ensuring the selected concept and medium pairs are structured for final prompt generation.