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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.

Install
npx -y skills add alainlebret/claude-agents --skill tp-lab-designer

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What its author says it does

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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?

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.