teacher

Accept learning targets, assess quality, classify lesson types, and generate handoff artifacts.

5|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Andamio-Platform/coach --skill teacher-andamio-platform
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teacher
Source: https://github.com/Andamio-Platform/coach/tree/main/skills/teacher
Command: npx skills add https://github.com/Andamio-Platform/coach --skill teacher-andamio-platform

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill speeds up course design by efficiently capturing learning targets (SLTs), aligning them with a structured assessment flow, and preparing ready-to-use handoffs for the course-workflow.

Core Features & Use Cases

  • Accept and normalize learning targets: transform raw inputs into actionable SLTs.
  • Assess SLT quality & classify into lesson types: ensure SLTs meet standards and map to lesson formats.
  • Generate readiness artifacts & handoff: produce outputs to feed into the course workflow.

Quick Start

Provide your learning targets (SLTs) or point to a file containing them, and this skill will process, assess, and hand off to the full course workflow.

Frequently Asked Questions about teacher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transform raw learning targets into actionable SLTs for course design?

Course design starts by accepting raw learning targets and normalizing them into actionable Student Learning Targets (SLTs). This process aligns targets with a structured assessment flow, ensuring they meet quality standards before lesson classification and workflow handoff.

What is the best way to assess SLT quality and classify learning targets into lesson types?

Assessing SLT quality involves checking the normalized learning targets against standards and mapping them to appropriate lesson formats. This classification ensures that each target is categorized correctly, producing readiness artifacts for the subsequent course workflow handoff.

How do I generate readiness artifacts for a course workflow handoff?

Generating readiness artifacts requires processing accepted SLTs through quality checks and classification. Once assessed, these artifacts are produced to feed directly into the course workflow, ensuring a fast-track setup for ready learners with clear outputs.

Can I use this course design workflow without prior dependencies?

Yes, you can use this course design workflow without prior dependencies. The process requires no external components, allowing you to provide learning targets directly or point to a file containing them for immediate processing and handoff.

When do I need to normalize learning targets for a fast-track teacher workflow?

You need to normalize learning targets when you want to fast-track course setup for ready learners. This step transforms raw inputs into actionable SLTs, applying robust guardrails to ensure clear outputs and a structured assessment flow before handoff.