Create interactive AI role-play training activities as self-contained HTML. Use when the user asks to generate a role-play, persona practice, sales simulation, customer conversation drill, compliance scenario, or any learner-vs-AI-character training exercise.
Use when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or managing Teaching Prompts (per-lesson) and Course Prompts (course-level) — both written in MarkdownFlow (MDF). Covers the full course lifecycle …
Create a polished, printable learning report for one AI-Shifu course from live course analytics or a supplied report dataset. Use this skill whenever a teacher or teaching manager asks for an AI-Shifu learning report, course review, teaching diagnosis, lesson health analysis, learner engagement or audience insights…
Turn user-provided source materials into market-fit course-topic decisions without exceeding the evidence boundary of the materials. Use when the user needs course topic selection, competitor analysis, pricing guidance, audience targeting, market positioning, or a decision on whether the material is strong and…
Builds the student community system for a paid course - platform choice by where students already are, an introduce-yourself onboarding ritual, a weekly cadence of office hours, wins threads, and accountability checks, a hard creator-time budget, and scheduled testimonial-harvest moments. Use when a course creator…
Designs a paid online course structure backward from the student transformation - before/after states, one module per milestone, 5-12 minute lessons with one action each, and completion-first sequencing that front-loads quick wins. Use when a creator says "help me outline my course", "how many modules should my course…
Runs customer interviews engineered to produce usable testimonials and case-study raw material - a question sequence that elicits before/after specifics and real numbers, a permission and approval workflow, quote-editing ethics (tighten but never fabricate), and a soundbite extraction procedure. Use when a user says…