agentleFS
drunkcodingdrunkcoding/AgentSkillsArxiv/skills/tutor-handouts/SKILL.md

tutor-handouts

Skill4 starsChanged 9 months agoNo licenceView on GitHub

Generate a university-style course pack (PDF lecture handouts, programming-assignment writeups, conceptual problem sets, topic cheatsheets, a capstone project, and a one-page syllabus) plus matching graded programming-exercise scaffolds (CUDA / Triton / PyTorch starters, a LeetGPU-style autograder harness, and gated solutions for hardest exercises) from a `StudyVault/` produced by `cuda-tutor-setup` or `triton-tutor-setup`. Visual style modeled on CMU 15-418, Stanford CS149, MIT 6.172, OLCF CUDA Training Series, and AlphaGPU LeetGPU challenges. Emits `.tex` + `Makefile`; compiles via `latexmk + pdflatex` if available, otherwise gracefully falls back to source-only. Use when the user wants to produce printable lecture handouts, programming assignments, problem sets, an autograder, or a complete course pack from an existing StudyVault, or says things like "make handouts for my StudyVault", "generate the course pack", "build programming exercises for CUDA", "/tutor-handouts".

The file

Show its rules and text

We split this skill into the rules it gives an agent

21 rules. About 0 are common, 2 are distinctive, and 19 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 19

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.