AI Agent Workflow Collection

WCAG 2.1 AA compliance audit plus Universal Design for Learning (UDL 3.0) enhancement review for course designs. Two-tier output: "Must Fix" for accessibility violations and "Should Improve" for UDL recommendations. Works standalone or reads from the idstack project manifest.

Evidence-based assessment design with rubrics, feedback strategies, and formative checkpoints. Aligns each assessment to learning objectives using Bloom's taxonomy. Applies Nicol's 7 principles of good feedback practice. Reads from /learning-objectives manifest and extends it with assessment specs.

Generate complete course content from the idstack manifest. Produces syllabus, module pages, assignment descriptions, and rubric documents. Content follows cognitive load principles and adapts to learner expertise level. Reads from the full pipeline (needs, objectives, assessments) for richest output.

Export course content to any LMS.

Export course content to any LMS.

Universal course import from any LMS. Reads IMS Common Cartridge files, pasted course documents, or Canvas REST API.

Universal course import from any LMS. Reads IMS Common Cartridge files, pasted course documents, or Canvas REST API.

Evidence-based course quality audit aligned with Quality Matters standards and Community of Inquiry framework.

Evidence-based course quality audit aligned with Quality Matters standards and Community of Inquiry framework.

Manage project learnings. Search, list, delete, promote, and export what idstack has learned across sessions. Use when asked to "what have we learned", "show learnings", "prune stale learnings", or "export learnings".

Evidence-based learning objective development with revised Bloom's taxonomy classification and bidirectional alignment checking. Reads from /needs-analysis manifest and extends it with ILOs, alignment matrix, and expertise reversal flags.

Evidence-based three-level needs assessment for instructional design. Guides you through organizational, task, and learner analysis before building a course. Creates a shared project manifest that downstream skills (/learning-objectives, /course-quality-review) read and extend.

Pipeline orchestrator for idstack. Chains skills from /needs-analysis through /course-export in evidence-based order, auto-skipping completed skills. Handles fresh starts (no manifest) and resumption (partial pipeline).

Adversarial course design audit across 5 dimensions: alignment stress test, evidence verification, cognitive load analysis, learner persona simulation, and prerequisite chain integrity. Produces a confidence score (0-100). Runs in a clean-context sub-agent so synthesis is unbiased by build history. Works standalone or reads from the idstack project manifest.