Edumints Scorm Skill — Development skill for Claude Code
Claude Agent Skill for authoring interactive SCORM courses with edumints-scorm-mcp.
How to install Edumints Scorm Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open kemalyy/edumints-scorm-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Edumints Scorm Skill does
Claude Agent Skill for authoring interactive SCORM courses with edumints-scorm-mcp. By edumints.com.
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README
Authoring SCORM Courses — a Claude Agent Skill
A **Claude Agent Skill** that teaches an AI client how to author high-quality, interactive, SCORM-compliant e-learning courses with the **[edumints SCORM MCP](https://github.com/kemalyy/edumints-scorm-mcp)** server.
**🌐 Languages:** [English](README.md) · [Türkçe](README.tr.md) · [Español](README.es.md) · [Русский](README.ru.md) · [简体中文](README.zh-CN.md) · [Azərbaycanca](README.az.md) · [Қазақша](README.kk.md) · [Кыргызча](README.ky.md)
Open-source, developed by the **[edumints.com](https://edumints.com)** platform. Open to contribution.
What this is
A [Claude Agent Skill](https://docs.claude.com/en/docs/agents-and-tools/agent-skills) is a folder of instructions that an AI client loads on demand. This skill gives the model the **instructional-design judgment** and the **exact tool recipes** to turn a request like *"make a 6-minute course on phishing"* into a polished SCORM package: clear objectives, varied screen types, aligned assessment, on-brand theming, a slide-stage player with timed reveal, media, and the build → preview → feedback loop.
The skill is the **author's playbook**; the scorm-mcp server is the **assembler**.
Structure (progressive disclosure)
authoring-scorm-courses/
├── SKILL.md # entry point: workflow + quality bar
├── references/
│ ├── anti-slop.md # anti-slop discipline: training read + parametric dials (read FIRST)
│ ├── pre-flight.md # MANDATORY pre-build quality-gate matrix
│ ├── core/ # Layer 1 — method-independent core rules (+ the Layer-0 selector)
│ │ ├── method-selector.md # Layer 0 — outcome type + dials → method pack(s) + overlay(s)
│ │ ├── evidence-binding.md # every scored question binds to an in-course evidence source (K1–K6)
│ │ ├── alignment.md # objective→question→evidence mapping + warn threshold (H1–H3)
│ │ ├── feedback-anatomy.md
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