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wanghaisheng
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CORE + EEAT Agent Skill

Automate content generation for Claude AI agents with validation and YAML frontmatter metadata.

Updated Apr 15, 2026
Search Tags:#claude#governance#skill#content-generation#core#eeat
One-click install
npx skills add https://github.com/wanghaisheng/web3-scaffold-app-monorepo --skill core-eeat-agent-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: CORE + EEAT Agent Skill
Source: https://github.com/wanghaisheng/web3-scaffold-app-monorepo/tree/main/ref/content/core-eeat-agent-skill-main
Command: npx skills add https://github.com/wanghaisheng/web3-scaffold-app-monorepo --skill core-eeat-agent-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude AI agents require a robust, auditable framework to generate content that is accurate, traceable, and scalable.

Core Features & Use Cases

  • CORE + EEAT driven content workflow with safety gates and validation
  • Support for multiple content types (blog, alternative, use-case, FAQ, best-of, testimonial)
  • Integrated keyword research guidelines, citations, and EEAT signals
  • Step 0 discovery and Step 7 safety/validation as mandatory steps

Quick Start

Install this skill in your Claude skills directory and follow PROJECT-DATA-CREATOR.md to bootstrap a project-specific skill.

Frequently Asked Questions about CORE + EEAT Agent Skill

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

FAQPage Schema
How do I automate Claude AI content generation with built-in safety and validation?▼

Automate Claude AI content generation by using a workflow that enforces mandatory Step 0 discovery and Step 7 safety validation, ensuring all generated outputs meet strict data models and governance standards.

What content types are supported by the CORE + EEAT governance workflow?▼

The CORE + EEAT governance workflow supports end-to-end content generation for blogs, alternatives, use-cases, FAQs, best-of, and testimonial formats, each integrated with citations and EEAT signals.

How does YAML frontmatter enforce content governance for AI agents?▼

YAML frontmatter enforces AI agent content governance by defining strict metadata models that enable deterministic task execution, traceability, and quality assurance across all generated outputs.

Can I use this skill to bootstrap a project-specific content generation framework?▼

Yes, you can bootstrap a project-specific content generation framework by installing this skill in your Claude skills directory and following the PROJECT-DATA-CREATOR.md guidelines to configure it.

What is the purpose of Step 0 discovery and Step 7 validation in AI content workflows?▼

Step 0 discovery and Step 7 validation serve as mandatory safety gates in AI content workflows to ensure accurate keyword research integration, quality assurance, and strict adherence to EEAT signals before publication.

How do I add optional resources like scripts and references to my AI content generation tasks?▼

Add optional resources such as scripts, references, and assets to your AI content generation tasks to enable deterministic execution and provide supplementary governance data for the validation steps.

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