What Agent Skills do
Agent Skills are open, ready-to-use skills that help AI assistants produce high-quality, standards-aligned K-12 teaching materials. They are grounded in learning science and leverage Knowledge Graph. Each skill packages the instructions, references, and guardrails an agent needs to reliably complete a teacher workflow. With Agent Skills, the same task can produce consistent, classroom-ready results.| Skill | Description |
|---|---|
| K-12 Lesson Planning | Builds classroom-ready, standards-aligned lesson plans, optionally aligned to a teacher’s curriculum. |
| K-12 Lesson Differentiation | Adapts an existing lesson into tiered versions (below, at, or above proficiency level) and for specific student needs, keeping core content consistent across tiers. |
When to use Agent Skills
| Use case | Description | Examples |
|---|---|---|
| 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 eval rubrics using LLM-as-judge or human review. | Validate that a lesson plan meets pedagogy, rigor, formatting, and model-scaffolding criteria. |
How to access Agent Skills
Agent Skills are cross-platform and model-agnostic. They can be used with any agent runtime that supports the open Agent Skills format ↗:- Claude Code
- Cursor
- Codex
Our approach
Our initial set of Agent Skills and evaluator rubrics was co-developed with Anthropic ↗. These skills don’t just generate plausible-looking materials — they’re grounded in research-backed principles and refined with expert practitioners.| Principle | Description |
|---|---|
| Pedagogy | Outputs reflect sound instructional design.
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| Rigor | Outputs maintain grade-level cognitive demand |
| Usability | Outputs are classroom-ready and default to universal design |