nahisaho Learning Design and Assessment
Learning Design and Assessment skill suite for coordinated multi-step workflows. Includes an orchestrator plus specialized sub-skills designed to produce higher-quality outcomes through structured chaining.
Use This Skill When
- A learning workflow needs objective design, activity generation, curriculum building, rubric design, or feedback analysis.
- Multiple learning sub-skills must contribute to a single instructional recommendation.
- Intermediate outputs require validation before the final learning design is issued.
Local Resources
- Route through
learning-orchestratorwhen multiple learning sub-skills are required. - Use the specialized learning sub-skills directly for narrow execution tasks.
Required Inputs
- Learning objective, audience, constraints, and delivery context.
- Available materials, evidence, deadlines, and assessment needs.
- Required deliverables, review expectations, and success criteria.
Workflow
- Confirm scope, evidence path, and the artifact set to save.
- Route through the orchestrator or local helpers only when they materially improve the current task.
- Save analyses, intermediate outputs, and recommendations to files instead of leaving results in chat.
- Verify assumptions, traceability, and recommendation quality before finalizing conclusions.
- Append skill selection, handoff I/O, and file writes to
logs/process-log.jsonlwhen the execution harness requires trace logging.
Deliverables
report.md: objective, method, recommendation, and file inventory.results/: curriculum outputs, rubrics, activities, analyses, and structured learning artifacts.figures/: English-only charts or visuals when helpful.data/: processed source inputs when transformation occurs.
Quality Gates
- Outputs include explicit assumptions, audience context, and constraints.
- Reasoning is traceable from source inputs to recommendation.
- Final recommendations are actionable and saved as files.
report.mdand, when used,logs/process-log.jsonlreference generated artifacts.