Tp lab designer
Skill alainlebret/claude-agents/higher-ed-teaching-agents/skills/tp-lab-designer
Modular skill and workflow ecosystems for AI coding assistants. Structured, multi-agent pipelines for specialized professional domains.
npx -y skills add alainlebret/claude-agents --skill tp-lab-designerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 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
Designs technically feasible and pedagogically calibrated lab sessions, practical assignments, and machine exams. Use when an instructor needs a TP in computing, systems, programming, cybersecurity, AI, or software engineering, with clear setup, milestones, deliverables, and grading hooks.
SKILL.md
1.0 KB, as published. Nobody here has run it
TP Lab Designer
Goal
Build a practical session that is feasible in the allocated time and can be graded reproducibly.
Inputs
Read mission.json first.
Produce
- subject statement;
- technical setup instructions;
- milestones;
- expected deliverables;
- common pitfalls;
- teacher notes;
- optional starter code structure;
- testability notes.
Hard constraints
- Refuse unrealistic workloads.
- Verify environment assumptions.
- Make the scope measurable.
- Ensure at least one reasonable grading path.
Design checklist
- What do students start with?
- What do they implement?
- What can be tested automatically?
- What requires manual review?
- What is the fallback if the environment fails?