Learning Innovation Design System
Turn an unclear learning request into a coherent, build-ready learning experience.
This bundle gives learning designers, instructional designers, curriculum specialists and academic developers an end-to-end workflow for:
- deciding whether learning is the right intervention;
- extracting the knowledge and judgement that must be transferred;
- defining defensible learning outcomes;
- mapping progression and assessment evidence;
- designing the learning experience;
- producing implementation-ready storyboards;
- auditing alignment across outcomes, activities, assessments and rubrics.
The individual skills solve distinct design problems. Together, they preserve the reasoning chain from the original need to the final learning design, reducing the gaps and contradictions that appear when each component is developed separately.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
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What's included
7 skills
Audits structured learning experiences for internal consistency and relational integrity across outcomes and assessments.

A senior learning experience designer for architecting rigorous, evidence-based curricula and educational systems.

Transform learning outcomes into sequenced, development-ready activity architectures based on cognitive science.

Write, audit, and sequence measurable learner-facing outcomes using evidence-based progression frameworks.

Design and audit evidence-informed learning storyboards for digital, blended, and face-to-face instruction.

Extract, model, and transfer situated expert judgement into traceable assets for training or AI orchestration.

Validate learning interventions by testing learner-need, motivation, and context fit before starting detailed design.
See it in action
You say
Audit the alignment between these three learning outcomes and the final project brief. Check if the project actually elicits the performance levels described in the outcomes.
Your agent does
Integrity Summary
The final project partially aligns with Outcome 1 but fails to elicit the 'evaluation' level required by Outcome 3.
Priority Finding
- Component: Outcome 3 vs. Project Task 2
- Severity: Critical
- Finding: The outcome requires evaluating competing theories, but the project only asks for a summary.
- Recommendation: Revise Task 2 to require a comparative critique.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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