XBuilderLABOfficial·16 Agent Skills Included

cheat-on-content

Turn content gut feelings into calibrated, evolving performance predictions

Scores content drafts, locks in blind performance predictions before publishing, and runs T+3-day retrospectives against real data. Eliminates the publish-and-guess gambling loop by logging every judgment and evolving a personal scoring rubric from your own results. Fetches trends, imports benchmark accounts, builds audience personas, and recommends topics so creators sharpen their hit formula with every post.

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npx skills add XBuilderLAB/cheat-on-content --all -g -y

All Skills in This Repository (16)

Pure Emerald Level Indicators

📦 In Repo

XBuilderLAB

cheat-shoot

Track video shooting progress and compare scripts for consistency.

cheat-persona

Generate audience personas by analyzing review data in prediction files.

cheat-recommend

Sort and recommend content topics from a candidates.md file by rubric.

cheat-predict

Generate immutable prediction logs for content success using AI analytics.

cheat-migrate

Migrate .cheat-state.json schema versions with dry-run previews.

cheat-publish

Update metadata and state files with published content details.

cheat-seed

Analyze post performance and predict virality from historical data.

cheat-score

Score written content against predefined rubric dimensions and calculate a composite score.

cheat-trends

Fetch and score trending topics from specified sources into candidates.md.

cheat-init

Guide content creators through a structured onboarding process with framework setup.

cheat-retro

Analyze content performance against predictions and generate strategy feedback.

cheat-status

Read .cheat-state.json to display progress metrics and calibration actions.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install cheat-on-content?▼

Run `npx skills add XBuilderLAB/cheat-on-content --all -g -y` in your terminal to install all sub-skills globally.

How does cheat-on-content predict content performance?▼

It scores your draft on a multi-dimension rubric, writes an immutable blind prediction before you publish, then compares it against real data three days later to calibrate future predictions.

Which platforms does cheat-on-content support?▼

It includes data adapters for Douyin, Xiaohongshu, Bilibili, WeChat Channels, and LinkedIn, plus trend sources like Weibo and Zhihu hot lists. Manual data entry works for any platform.

Does cheat-on-content work with Claude Code and Codex?▼

Yes. It installs natively into Claude Code with hooks, and Codex users can trigger the same sub-skills with natural language commands.

Do I need an existing audience to use it?▼

No. Cold-start users can import a benchmark account with 5-10 sample posts to give the rubric an anchor, then accuracy improves as your own retrospectives accumulate.