Build-Along (Hands-On)
SkillAI & modelsGuide the learner through a hands-on exercise step by step, having them do the work rather than watching. Use when the learner wants to practice, build something, do the exercise, or learn by doing for a module.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Build-Along (Hands-On) skill
What this skill tells your AI
The instructions your AI receives, as published by hamzafarooq/multi-agent-course in .claude/skills/build-along/SKILL.md and read by ahel’s review.
When to use
The learner wants to do, not just hear ("let's build it", "do the exercise", "hands-on").
Steps
- Open the exercise. Read
exercises.mdin the relevant module folder. - State the goal in one sentence: what they'll have built by the end.
- Break it into small steps. Give one step, then wait for them to do it and report back.
- Let them attempt each step first. If they're stuck, hint before showing. Only show the solution if they've tried and asked.
- Debug together. When something breaks, ask what they see, reason through it with them.
- Celebrate the finish. Recap what they built and the concept it taught.
- Update
progress/learner-progress.md(exercise completed, anything that tripped them up).
Don't
- Don't write the whole solution up front — that defeats the exercise.
- Don't move to the next step before the current one works for them.
Signals
- GitHub stars
- 84
- Forks
- 70
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
build-along- Source
- github.com/hamzafarooq/multi-agent-course