Map LMS course data into idstack manifests with Bloom's taxonomy classification.
npx skills add https://github.com/savvides/idstack --skill course-import
Please help me install this Agent Skill. Skill: course-import Source: https://github.com/savvides/idstack/tree/main/course-import Command: npx skills add https://github.com/savvides/idstack --skill course-import
idstack helps instructional designers convert LMS course data into a structured, evidence-backed manifest. It solves the challenge of manual, error-prone mapping of course structure, objectives, and assessments across systems, and ensures consistent alignment with Bloom's taxonomy while surfacing quality flags for improvement.
Import a course via IMSCC, pasted documents, or Canvas API, and review the generated manifest.
High-intent search queries and answers about installing and using this skill.
To convert an LMS course export into a structured manifest, import your data via IMS Common Cartridge files, pasted documents, or Canvas API. The system automatically maps modules and generates an evidence-backed manifest with quality flags and Bloom's taxonomy classification.
Bloom's taxonomy classification for learning objectives is an automated pre-classification process that categorizes course goals during manifest generation, ensuring consistent alignment of instructional design data mapped from your LMS course structure.
Yes, you can use Canvas API data to map course modules into a structured manifest. This data source captures course structure, objectives, and assessments, automatically generating quality flags for instructional design review.
Yes, IMS Common Cartridge import supports task analysis mapping by capturing course structure without manual re-entry. It automatically maps modules to task analysis and generates preparation artifacts for downstream course-quality review.
Quality flags in an instructional design manifest are automated markers that surface areas for course improvement. They are generated during the LMS data mapping process to support downstream accessibility checks and learning-objectives alignment.
The best way to review learning objectives alignment is generating a structured manifest with Bloom's taxonomy classification and quality flags. Importing LMS course data produces preparation artifacts that explicitly support downstream alignment analysis.
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