agentsclimarketplace

Design embodied learning

Skill 11Yuxuanyang/polanyi-stack/skills/design-embodied-learning

The Polanyi stack for AI agents. Convert tacit knowledge, Polanyis paradox, and expert judgment into reusable agents and skills.

Install
npx -y skills add 11Yuxuanyang/polanyi-stack --skill design-embodied-learning

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Design embodied learning paths for tacit or judgment-heavy skills using scaffolded practice, simulation, and deliberate repetition. Use when the user wants to teach a skill through doing rather than lectures alone.

SKILL.md

1.9 KB, as published. Nobody here has run it

Design Embodied Learning

Core judgment: a tacit skill is learned by dwelling in practice, not by reading a slide deck.

Use When

  • The user wants to teach a craft, diagnostic, operational, or judgment-heavy skill
  • A team understands the theory but performance is still weak
  • The goal is to design drills, simulations, or practice ladders

Anchor the Learning Target

Define two things up front:

  • focal goal: the whole task or result the learner is trying to achieve
  • subsidiary cues: the details the learner must notice on the way there

Do not mix them. New learners usually need explicit cue attention before whole-task fluency.

Workflow

1. Choose the Real Task

Use a real task or a close simulation. Avoid abstract explanations as the main teaching surface.

2. Build the Practice Ladder

Use three stages:

  1. mimic: copy a known good move
  2. vary: change one variable while holding the principle
  3. create: handle a fresh case independently

If you need a format, read references/practice-ladder-template.md.

3. Tighten Feedback

For each stage, specify:

  • what the learner sees
  • what the learner does
  • what feedback arrives immediately
  • what counts as acceptable performance

4. Make Transfer Explicit

End with a new case that is similar in principle but different in surface form.

Learning is not complete until the learner can transfer.

Output

Return:

  • focal goal
  • subsidiary cues
  • practice ladder
  • feedback loop
  • exit criteria
  • transfer exercise

Do Not

  • teach a tacit skill as pure lecture
  • skip from explanation straight to independence
  • confuse repetition with deliberate practice

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.