Generate a complete offline study + quiz web app (guides, gamified quizzes, timed practice exam, SQLite) for any subject or exam.
8 on GitHubby Make It Runv1.5.0MITupdated 3 months ago
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Plugin learn from marketplace learn-anything in makeit-run/learn-anything. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
anything
Generate a complete, self-contained study + quiz web app for ANY subject or exam — gamified multiple-choice quizzes, per-topic study guides, a timed domain-weighted practice exam, XP/levels/badges/streaks, and a progress dashboard, all backed by SQLite (sql.js) and runnable offline by opening one fi
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
Drills Socratically, briefs cases, builds outlines, runs bar prep sessions tuned to your jurisdiction, grades IRAC practice, and plans the study schedule — without ever writing it for you.
Use when the user wants to know how a company gets its users, reverse engineer a competitor's growth or distribution, copy what a winning company does on each channel, or study a brand's content strategy (titles, thumbnails, covers, captions, graphics) on YouTube, TikTok, Instagram, X, LinkedIn or Reddit. Also for "how did X grow", "teardown of X's marketing", "what content works for X".
Study p-hacking in econometric designs: map researcher degrees of freedom, audit a specification search with a complete ledger and null-calibrated honest p-values, replay realistic search procedures, detect p-hacking in a literature, immunise an analysis, and benchmark whether an AI agent p-hacks. Research and teaching use only.
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