A method for turning content ideas and published results into measurable predictions. It scores content, predicts its performance, reviews the result after three days, and updates the scoring rules; the built-in rules are for opinion videos.
A workflow for changing a content-scoring rubric, meaning the rules and weights used to judge content. It supports either changing the rubric itself or recalculating only the performance buckets.
An onboarding workflow for setting up a content-prediction project from scratch. It asks about the project, creates its folders and templates, and checks whether its automation hooks work.
A workflow for learning patterns from another content creator’s scripts and performance data. It turns those examples into notes and evaluation rules for the cheat-on-content tool.
A migration tool for updating an old .cheat-state.json file to the schema version expected by the current cheat-on-content tool. A schema is the format and set of fields that a data file must follow.
A workflow that builds a description of who follows and responds to a content account. It derives the profile from comments and performance notes in earlier prediction records.
A workflow that records an unchangeable prediction about how a piece of content may perform before later results are known. Blind prediction means judging the draft without looking at those later results.
A small publishing-record procedure for prediction files, where it saves a published URL, platform, and time in metadata. It also updates the project's state file without changing the prediction text.
A topic-selection workflow that reads a candidate list and recommends the highest-ranked video ideas. It uses existing scores, publication history, rejected ideas, safety filters, and recent topics to avoid duplicates.
A review step that collects a prediction's later results, compares them with the original forecast, and records lessons for future scoring rules. T+N means checking performance N days after the prediction.
INTERNAL sub-agent for blind 7-dim rubric scoring. NOT a user-facing skill — do NOT invoke from main conversation. Called via Task tool by cheat-score / cheat-predict / cheat-bump to get a context-isolated score on a script. Receives ONLY scriptpath + rubricnotespath; refuses any other input. Outputs strict JSON: 9…
A topic-development conversation that starts from the user's own idea or experience, then narrows it to one angle and writes a draft. It can also run an optional batch mode for several topics.
A workflow step for recording that a planned video has been filmed. It creates the video’s folder, saves the script used, checks whether the filmed version differs from the draft, and updates the publishing queue.
A project progress dashboard that reads the current state and scans relevant files to show what work remains. It is designed for a prediction-and-review project.
A tool that collects recent popular topics from configured sources such as Hacker News, Reddit, YouTube, and Bilibili, then prepares a shortlist of possible ideas.
A research process for finding AI-era freelance and side-income opportunities from demand signals such as industry reports, hiring data, and purchasing data. It avoids treating posts that mainly sell courses or attract followers as reliable evidence.
A short guided setup for turning a general wish to make money into a clear personal profile for finding suitable opportunities. The process is designed to take no more than five minutes.
An action plan for a selected, potentially viable income opportunity. It covers a low-cost first test, specific actions for the first two weeks, an honest income expectation, and a point at which to stop.
A review process for an income opportunity you are currently pursuing. It compares the time and money you actually spent and earned with your original expectations, then records what you learned.
A status dashboard for tracking the progress of the money-making workflow across platforms. The supplied information says it reads the saved status and displays it.
An onboarding guide for people exploring well-paid jobs in the age of AI. It builds a profile from their skills, experience, time, location, salary target, and learning situation.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: