Status: 베타 (v3.10.0.0). Skills work end-to-end and ship behind the versioned plugin, 하지만 거친 가장자리를 기대 하 고 우리가 작업 흐름을 실제 교육 디자이너와. 현재 릴리스에서 새로운 것을 위해 CHANGELOG.md를 참조하십시오. 끊거나 누락 된 것을 알려주십시오.

연구의 데카드는 elaborated 의견 학습을 개량합니다. Cognitive 로드 이론은 30 년 동안 복제되었습니다. 구조적인 정렬 measurably raises 급료. 증거는 강합니다, 그러나 대부분의 과정 디자인 공구는 적용하게 쉽지 않습니다.

idstack은 작업 흐름에 대한 연구를 제공하는 증거 기반 교육 디자인에 대한 개방형 소스 세트입니다. Claude 코드에서 실행. 요약된 종이, idstack 감사 정렬 매트, 깃발 인식 로드 문제, Bloom’s taxonomy에 대한 목표를 분류하고, 모든 권고 뒤에 적 증거를 참조합니다.

전체 수명주기를 다루는 기술 : 분석, 디자인, 빌드, 수출. 한 개의 공유 프로젝트는 세션 전반에 걸쳐 과정을 기억합니다.

idstack

Status: beta (v3.10.0.0). Skills work end-to-end and ship behind a versioned plugin, but expect rough edges and breaking changes between minor versions while we shake out the rest of the workflow with real instructional designers. See CHANGELOG.md for what’s new in the current release. Tell us what’s broken or missing.

Decades of research say elaborated feedback improves learning. Cognitive load theory has been replicated for 30 years. Constructive alignment measurably raises grades. The evidence is strong, but most course design tools don’t make it easy to apply.

idstack is an open source set of skills for evidence-based instructional design that brings peer-reviewed research into your workflow. Runs in Claude Code. Rather than summarizing papers, idstack audits alignment matrices, flags cognitive load issues, classifies objectives against Bloom’s taxonomy, and references the empirical evidence behind every recommendation.

Skills covering the full lifecycle: analyze, design, build, export. One shared project manifest that remembers your course across sessions. Every recommendation tagged with its evidence tier, from T1 (meta-analyses) to T5 (expert opinion), so you always know how strong the backing is.

Free, MIT licensed, open source. Available as a Claude Code plugin and a Chrome Extension. Have feedback or a feature request?

Quick start

1. Install idstack (30 seconds, see below). No terminal? Use the Claude desktop app.
2. Run /idstack:start in a folder for your course. It checks your setup and starts the correct skill.
3. If you imported a course, run /idstack:course-quality-review to see what the evidence says.
4. Stop there. You’ll know if this is for you.

See it work

You:    /idstack:course-import

idstack: How do you want to import your course?
         A) IMS Common Cartridge file (.imscc)
         B) Paste course documents
         C) Canvas API
         D) PDF or document file
         E) SCORM package (.zip)

You:    C — here's my Canvas URL and access token.

idstack: Connected. Pulling course data...
         Found: 12 modules, 8 assignments, 4 discussions, 6 outcomes.

         ## Import Quality Triage

         Found 4 flags during import:
         ⚠ 12 modules, only 4 have stated learning objectives
         ⚠ All 8 assessments are auto-graded quizzes (no rubrics)
           [Assessment-8] [T1] — elaborated feedback produces larger
           learning gains than correctness-only
         ⚠ No collaborative activities beyond discussion forums
           [Online-15] [T4] — low social presence predicts weaker outcomes
         ⚠ No accessibility information for video content

         6 objectives pre-classified with Bloom's taxonomy.