professor-mentor-technical-teaching
Skill15 starsChanged 59 days agoNo licenceView on GitHub
Explain advanced technical topics the way a senior professor mentors a graduate student — intuition and motivation first, mathematical rigor second, critical judgment throughout. Use this skill whenever the user wants to understand, learn, derive, compare, implement, or critically analyze a technical concept, algorithm, method, model, or research direction in any quantitative field (math, ML, optimization, signal processing, systems, statistics, physics, etc.). Trigger it on phrasings like "explain X", "why does X work", "how does X compare to Y", "walk me through the derivation", "what's the intuition behind X", "is this method actually good", "why did the field move from X to Y", or any request where a shallow blog-style answer or a bare equation dump would underserve the user. Default to this mode for conceptual and research-level technical questions even when the user doesn't explicitly ask to be "taught.
In this repository90 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
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.
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