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Cheat Recommend (Topic Picker)

Ranks your saved video topic candidates and recommends the next ones to film, with reasons.

Stars
7,443
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent to read a candidates.md file of video or post topic ideas you have already scored, sort them by a composite score, and suggest the top few with a short reason and comparable past works for each. It also skips topics you have already published, flags risky ones, and adjusts its advice based on how much unpublished content you have queued. If no candidate list exists, it gives setup guidance instead of an error.

Great for

  • Creators who keep a backlog of topic ideas and want help choosing what to make next
  • Content teams using the cheat-on-content workflow who want a consistent ranking of candidates

Skip it if

  • People without a scored candidate list: the skill only ranks entries that already have scores, so it will just point you to other setup commands
  • Anyone wanting guaranteed audience results: the scores are heuristic estimates, and the skill itself says they should be challenged, not trusted blindly

Try asking

  • “推荐选题”
  • “next topic”
  • “下一篇做什么”
  • “recommend topics with filter safe, top 3”
Step-by-step guide: how to use Cheat Recommend (Topic Picker)Install, 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-recommend.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

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

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip cheat-recommend.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

  • Score candidates first (via the related score or trends commands) so the recommender has composite values to rank
  • Use the filter argument (tier1, safe, all, risky) to narrow suggestions to the kind of topic you want today
  • Read the dimension scores and anchors rather than just the top score, since the skill is designed to make the reasoning visible

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.