content-eval

Generate and rank B2B content ideas via a simulated 7-expert panel scoring workflow.

3.3k|656|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/ericosiu/ai-marketing-skills --skill content-eval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-eval
Source: https://github.com/ericosiu/ai-marketing-skills/tree/main/content-eval
Command: npx skills add https://github.com/ericosiu/ai-marketing-skills --skill content-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Content teams waste time producing ideas that do not resonate or perform, and they lack a repeatable way to evaluate differentiation, audience fit, and platform potential before scheduling production.

Core Features & Use Cases

  • Expert panel scoring for ideation: Simulates a 7-expert panel across viral hooks, algorithm potential, brand fit, B2B buyer relevance, differentiation, short-form adaptability, and engagement.
  • Competitive scan + gap finding: Identifies outlier competitor videos, recurring topic/format patterns, and content gaps when competitive input is not provided.
  • Ranked menu + production scheduling: Filters ideas using an 85+ average pass threshold, ranks winners, generates a 4-week calendar, and outputs a kill list with failure reasons for learning.

Quick Start

Trigger it by asking: "weekly content menu" to generate a scored, ranked 4-week production schedule from your latest signals.

Frequently Asked Questions about content-eval

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

FAQPage Schema
How do I generate and rank B2B marketing content ideas from podcast transcripts?

You can rank content ideas by running them through a simulated 7-expert panel that evaluates viral hooks, algorithm potential, brand fit, and B2B buyer relevance, outputting a scored menu and a 4-week production calendar.

What is the best way to score content differentiation before scheduling production?

Scoring content differentiation is done by simulating a 7-expert panel that evaluates differentiation, short-form adaptability, and engagement, filtering ideas using an 85+ average pass threshold to ensure production readiness.

Can I use competitive analysis to find content gaps for YouTube shorts?

Yes, providing competitive analysis input allows the Skill to identify outlier competitor videos, recurring topic and format patterns, and content gaps specifically for YouTube shorts and B2B marketing ideation.

How do I create a content calendar from sales call insights and meeting notes?

You create a content calendar by feeding sales call insights and meeting notes into the panel scoring workflow, which filters winning ideas using an 85+ average pass threshold and outputs a 4-week production calendar.

Does the content ideation workflow output failure reasons for rejected ideas?

Yes, the workflow outputs a kill list containing failure reasons for rejected ideas, providing PASS/FAIL scoring tables that show why concepts did not meet the 85+ average pass threshold.

What inputs do I need for B2B content ideation using an expert panel scoring workflow?

Inputs for B2B content ideation include podcast transcripts, meeting notes, sales call insights, trending topics, optional competitive analysis results, and configurable reference files for pillars, panel, competitors, and voice rules.