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ai-content-generation

Automate AI content generation and scoring across OpenAI and Claude with JSON-schema validation.

1|Updated Oct 13, 2025
Search Tags:#ai#claude#scoring#prompts#openai#content-generation#json-schema
One-click install
npx skills add https://github.com/Venture-Formations/aiprodaily --skill ai-content-generation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-content-generation
Source: https://github.com/Venture-Formations/aiprodaily/tree/main/.claude/skills/ai-content-generation
Command: npx skills add https://github.com/Venture-Formations/aiprodaily --skill ai-content-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI content generation and evaluation across OpenAI and Claude, with prompt storage, structured outputs, and scoring to deliver consistent, validated results for content workflows.

Core Features & Use Cases

  • Database-driven prompts stored in app_settings and reusable across newsletters
  • Multi-provider AI support (OpenAI and Claude) with JSON-schema validated responses
  • Multi-criteria scoring, validation, and error handling for generated content
  • Workflow integration with article storage, fact-checking, and monitoring

Quick Start

Use the AI content generation workflow to produce a title and body from a post using prompts stored in app_settings.

Frequently Asked Questions about ai-content-generation

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

FAQPage Schema
How do I automate AI content generation across OpenAI and Claude?▼

Automating AI content generation across OpenAI and Claude involves applying stored prompts to produce structured, validated outputs. This workflow supports multi-provider routing and enforces JSON-schema validation to ensure consistent results for articles and content management.

Can I use JSON-schema validation for structured outputs from AI generated content?▼

JSON-schema validation is explicitly supported for AI generated content to enforce structured outputs. This mechanism ensures that responses from OpenAI and Claude conform to required formats, enabling robust error handling and multi-criteria scoring for validated results.

What is the best way to manage and reuse prompts for newsletter content workflows?▼

The best way to manage prompts for newsletter content is using a database-driven approach where prompts are stored in app_settings. This allows you to reuse them across multiple workflows, generating consistent titles and bodies from stored application configurations.

Does multi-provider AI content generation handle rate limits and error handling?▼

Multi-provider AI content generation handles rate limits and robust error handling natively. This ensures that workflows across OpenAI and Claude remain stable, applying multi-criteria scoring and validation while managing API constraints during content production.

How do I score and evaluate AI generated articles for consistency?▼

Scoring AI generated articles uses multi-criteria evaluation and validation within the content workflow. By applying structured prompts and JSON-schema enforcement, the system evaluates generated titles and bodies to deliver consistent, fact-checked results.

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