learning-motivation-design

Quick Review

The skill addresses an interesting domain (motivation science in learning design) with moderate novelty, as applying self-determination theory systematically could reduce token costs for a CLI agent. However, the description and documentation are severely underdeveloped. The description is vague and doesn't explain what the skill actually does or produces. The SKILL.md provides only a single CLI example with flags but no explanation of: what output is generated, what 'apply-sdt' means in practice, how to use the parameters, what scenarios warrant different flag combinations, or what concrete deliverables result. Task knowledge is minimal—there's no methodology, steps, templates, or implementation guidance. Structure is basic but acceptable for the limited content. To improve: add clear use cases, explain parameters, provide examples of outputs (e.g., learning design documents, motivation frameworks), and include actionable steps or templates.