ai-shifu-course-creatorUse 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 — from converting raw material into structured lessons, to authoring interactions (single-select, multi-select, input, branching), adding variables, images, and course prompts, to deploying and managing live courses on the AI-Shifu platform. Also covers post-deployment analytics on those courses — learner count, completion rate, stuck lessons, orders, revenue, ratings, credit consumption, audience profiles, and individual learner tracking. Trigger on any mention of AI-Shifu, AI师傅, MarkdownFlow, Teaching Prompt, Course Prompt authoring, course analytics, creator analytics, 学习人数, 完成率, 卡课节, 订单收入, 积分消耗, or learner progress.
Install via ClawdBot CLI:
clawdbot install heshaofu2/ai-shifu-course-creatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://app.ai-shifu.cn/shifu/<shifu_bidAudited Apr 18, 2026 · audit v1.0
Generated May 23, 2026
New hires spend weeks ramping up. Use AI-Shifu Course Creator to segment existing training manuals into interactive micro-lessons. The pipeline converts dense PDFs into engaging MarkdownFlow scripts, reducing onboarding from two weeks to three days.
Universities want to digitize lecture notes for hybrid classrooms. Instructors input raw slide decks and transcripts. Phase 1–4 segmentation and optimization produce polished lesson scripts with built-in assessments, ready for LMS integration.
Sales teams need up-to-date product training. Product managers drop raw specs and release notes. Phase 2 orchestrates lessons with core questions per feature, Phase 3 generates interactive scripts, Phase 5 deploys as live courses for on-demand learning.
Regulated industries require verifiable training. Use Deploy Only path (Phase 5) to publish pre-authored MarkdownFlow scripts. Platform tracks completion and assessment results, fulfilling audit requirements without custom LMS builds.
Product launch teams can quickly prototype customer education. Using Author Only path (Phase 1–4), they generate optimized scripts from beta documentation. Iterate on lesson flow before committing to full deployment.
Charge per end-to-end course creation. Clients submit raw material and receive a fully deployed, interactive course on AI-Shifu. Pricing based on number of lessons and deployment frequency.
Licence the course creator skill for internal use. Clients run phases independently on their own content. Provide premium support and template libraries.
Clients upload existing MarkdownFlow scripts. Run Phase 4 optimization to audit and improve interaction density and pedagogical quality. Deliver validated scripts with deployment hints.
💬 Integration Tip
To integrate, first map your existing content storage (LMS, file server) to the segmentation pipeline. Use the language resolution policy to automatically detect learner language from the session context, reducing duplicate content per locale.
Scored Aug 15, 2026
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