Use cases - Learning Commons Docs

These are several common ways that edtech teams use Agent Skills in product development and in district and classroom workflows.

Use case	Description	Examples
Ship teacher-facing features	Ship lesson planning and differentiation features in your edtech application without re-inventing pedagogy prompts or rubrics.	Embed K-12 Lesson Planning into a product workflow so teachers get classroom-ready plans on demand.
Offer standards-aligned materials at the district level	Deploy Agent Skills inside internal AI assistants at the district level to provide standards-aligned outputs to all teachers by default.	Add K-12 Lesson Differentiation to a district assistant that adapts existing lessons for mixed classrooms.
Plan standards-aligned lessons	Generate classroom-ready lesson plans with teacher-facing plans, student materials, and observation templates.	A 3rd grade teacher needs a lesson on rounding to the nearest hundred for tomorrow.
Differentiate existing lessons	Adapt a lesson into below / at / above proficiency tiers while preserving core content and grade-level demand.	A 6th grade teacher wants tiered versions of a food webs lesson linked from an external curriculum site.
Ground outputs in trusted data	Pair Agent Skills with Knowledge Graph to resolve standards, learning components, progressions, and curriculum context.	Anchor a math lesson to state standards and Illustrative Mathematics structures.
Benchmark instructional quality	Score generated materials against published evaluator rubrics using LLM-as-judge or human review.	Validate that a lesson plan meets pedagogy, rigor, formatting, and model-scaffolding criteria.

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