| name | preparar-practica |
| description | Use when designing or preparing a practical exercise with clear steps, checkpoints, and deliverables. Structures a practice session for students or for personal learning. Invoke with: /preparar-practica, prepare exercise, design practice, create lab, practice structure. |
| argument-hint | Brief description of the practice topic (e.g. 'training a classifier on Iris data') |
| user-invocable | true |
Skill: preparar-practica
Design a structured practical exercise from a topic description.
Steps
1. Define Objectives
- Based on the topic argument, write 2–4 specific learning objectives.
- Each objective should be observable and verifiable: "Student can train a PyTorch model without looking at documentation."
2. Outline the Steps
- Break the practice into 5–8 sequential steps.
- Each step should take 10–20 minutes at beginner pace.
- Alternate between reading/understanding steps and hands-on coding steps.
3. Add Checkpoints
- After every 2–3 steps, define a checkpoint question or mini-task that lets the student (and instructor) verify progress.
- Refer to the checklist in
references/practice-checklist.md.
4. Define Deliverables
- List the files or outputs the student must produce by the end.
- Specify format: script, notebook, screenshot, written explanation.
5. Suggest Extensions
- Add 2–3 optional extension tasks for faster students.
Output
A Markdown practice guide with objectives, steps, checkpoints, and deliverables. Written directly in chat unless a file path is specified.
