ai-content-workflow

Enforces source-first workflow with structured facts and verification for AI-generated web content.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/redbananastudios/ai-library --skill ai-content-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-content-workflow
Source: https://github.com/redbananastudios/ai-library/tree/main/generated/claude/skills/ai-content-workflow
Command: npx skills add https://github.com/redbananastudios/ai-library --skill ai-content-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents AI-generated web content from including inaccurate or invented details by enforcing a source-first workflow and verification discipline before anything is published.

Core Features & Use Cases

  • Six-rule source-to-publish discipline covering source-first inputs, structured facts first, strict non-invention, and verification against reality.
  • Operator-specific accuracy controls that require at least one earned, location/service-specific detail per page and enforce transcript-based first-person writing.
  • Quality guardrails for high-cost facts such as streets, postcodes, pricing bands, and operational claims where one hallucination can devalue the page or trigger customer trust failures.

Quick Start

Use the ai-content-workflow skill to draft a location, service, or FAQ page from an operator transcript and facts object, and ensure any missing information is marked with the insufficient source marker instead of being invented.

Frequently Asked Questions about ai-content-workflow

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

FAQPage Schema
How do I prevent AI content hallucinations in local SEO pages?

A source-first content workflow prevents AI hallucinations by requiring a structured facts object before prose generation, enforcing strict non-invention rules, and marking unverified details with explicit insufficient source markers instead of fabricating them.

What is source-first writing for AI-generated service and location pages?

Source-first writing is a discipline that grounds AI-generated service and location pages in operator transcripts and verified facts. It requires drafting a structured facts object first, ensuring operator-specific accuracy and preventing generic, devalued content.

How do I audit existing AI content for unverified factual claims?

To audit AI content for unverified factual claims, apply a verification step against real-world sources for high-cost facts like streets, postcodes, and pricing. Replace any unverified details with insufficient source markers instead of leaving them invented.

Can I draft FAQ pages using operator transcripts and a facts object?

Yes, you can draft FAQ pages from operator transcripts and a facts object. The workflow enforces transcript-based first-person writing and requires at least one earned, location-specific detail per page to maintain operator-specific accuracy.

What are the limitations of using AI for high-cost facts like pricing and postcodes?

The limitation of using AI for high-cost facts like pricing and postcodes is the risk of a single hallucination devaluing the page or triggering customer trust failures. The workflow mitigates this by applying strict non-invention rules and requiring verification against reality.