XBuilderLAB/cheat-on-content

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

6620 stars · 907 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python-based agent skill that turns content creation into a calibrated prediction workflow: score each post, blind-predict its performance, publish, run a T+3-day retrospective, and evolve a personal scoring rubric. It is aimed at content creators who want to systematically improve their intuition about what content performs well.

Use cases

• predict whether a post will go viral before publishing
• run retrospectives on social media post performance
• build a personal content scoring rubric that improves over time
• track and calibrate my content creation intuition
• systematically learn why some posts outperform others
• replace guesswork in content strategy with logged predictions

When to choose

• you publish content regularly and want a structured predict-then-retro loop
• you want to quantify and improve your own judgment rather than outsource writing to AI
• you prefer a compounding personal rubric over generic creator dashboards

When to avoid

• you want an AI tool that writes or generates content for you
• you need A/B testing or multi-variant experimentation infrastructure
• you expect a polished GUI dashboard rather than a skill-driven workflow
• you are skeptical of marketing-heavy framing and want a battle-tested enterprise tool

Facets

plugin · maturity active

analytics workflow-automation data-science prompt-engineering social-media analytics developer-tools artificial-intelligence python cli cross-platform content-creation creator-economy calibrated-prediction retrospective-workflow agent-skill viral-forecasting rubric-evolution social-media-analytics automation

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For agents

markdown · JSON · MCP: product_card(name="XBuilderLAB/cheat-on-content")