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Cheat Retro Review Skill

Pulls post-publish performance data, compares it to predictions, and logs lessons into a calibration memo

Source Download skill
Repository
XBuilderLAB/cheat-on-content
Stars
7,443
Licence
MIT
Files
1 file

What it does

This skill turns the review step of a content prediction loop into a guided routine. After a piece of content has been live for a set number of days (default 3), the agent collects its performance numbers and top comments, works out ratios like likes-to-views, checks which earlier predictions held up and which failed, and appends a dated review section to the prediction file. It also adds generalized observations to a rubric memo, while keeping the original prediction text untouched.

Great for

  • Creators who write predictions about how a video, post or article will perform and want to check their accuracy over time
  • Content teams running a repeatable calibration process across many publications
  • Users of the cheat-on-content toolkit who already keep predictions, rubric notes and a state file

Skip it if

  • Anyone wanting a one-off analytics report with no prediction files: the skill assumes a prior prediction exists and will stop without one
  • Situations where comments cannot be shared or are restricted: the skill insists on top comments as the key signal and only offers a degraded path with a stated loss of value
  • Users who want to pull platform data automatically without setting up login cookies: optional adapters need platform sessions, and Bilibili is the only one described as login-free

Try asking

  • “复盘 predictions/2026-05-04_video-01_intro.md”
  • “retro this”
  • “T+3d 数据来了, here are the views, likes and top 20 comments”
  • “抓数据 videos/2026-05-04_bilibili-demo/ with window 7 and source adapter”
Step-by-step guide: how to use Cheat Retro Review SkillInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    cheat-retro.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip cheat-retro.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip cheat-retro.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Use manual mode first to learn the workflow; it needs no cookies or scripts and only requires pasting numbers and comments
  • Paste the top comments with their like counts, since the skill relies on comment clustering to explain why content performed as it did
  • Review the adapter's cookie and login steps before running them, and keep the login files local to your project, since they grant access to your personal platform accounts

What's inside

  • SKILL.md

Redistributed unmodified from XBuilderLAB/cheat-on-content under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.