mkt-quality-gate

Name: mkt-quality-gate
Availability: InStock
Author: EvolutionAPI

Score marketing content against a rubric with an expert panel and revision rounds.

520|175|Updated Apr 8, 2026

Search Tags:#automation #iteration #scoring #expert-panel #content-quality #mkt-quality-gate

Ready to run

npx skills add https://github.com/EvolutionAPI/evo-nexus --skill mkt-quality-gate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mkt-quality-gate
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/mkt-quality-gate
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill mkt-quality-gate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the intake, scoring, and iterative improvement of marketing content and strategy by assembling a tailored panel of domain experts to ensure output quality and consistency. It recurses through rounds until all scores reach 90+ (max 3 rounds), enabling teams to publish with confidence.

Core Features & Use Cases

Auto-assembles a 7–10 expert panel tailored to the content type and domain.
Scores outputs against a defined rubric, flags weaknesses, and prescribes concrete revisions.
Supports up to three revision rounds to drive 90+ scores across content and strategy.

Quick Start

Run the expert-panel scoring workflow on your drafts and return revised content after up to three rounds.

Frequently Asked Questions about mkt-quality-gate

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

FAQPage Schema

How do I automate content quality scoring for marketing drafts?▼

Automate content quality scoring by submitting drafts to an auto-assembled expert panel that evaluates artifacts against a rubric. The system processes content type and offer context to compute scores and prescribe concrete revisions.

How does an expert panel evaluate marketing content quality?▼

An expert panel evaluates marketing content quality by auto-assembling 7 to 10 domain experts tailored to the content type. The panel scores outputs against a Content Quality Rubric and a Humanizer detector to flag weaknesses.

What is the best way to iteratively improve content scores to 90 or above?▼

The best way to iteratively improve content scores to 90 or above is running up to three revision rounds. The system recurses through scoring cycles, flagging weaknesses and prescribing revisions until quality gate targets are met.

Can I use AI writing detection during content quality scoring?▼

Yes, you can use AI writing detection during content quality scoring via the integrated AI Writing Detector. The expert panel scores outputs against the Humanizer detector alongside the Content Quality Rubric.

What are the limitations of automated content quality gates?▼

The limitations of automated content quality gates include a maximum of three revision rounds to reach a 90 or above score. If content fails to meet the target after three iterations, manual intervention is required.