source-university
Skill1 starsChanged 24 days agoMITView on GitHub
How to find university course pages, syllabi, lecture notes and assignments that cover a technology or its underlying concepts, for a codelabgen course. Source type `university`.
In this repository24 other files it gives its agents.
- code-authoringSkill
- codelabgen-orchestratorSkill
- course-extensionSkill
- curriculum-designSkill
- diagrammingSkill
- example-designSkill
- lesson-reviewSkill
- notes-writingSkill
- readalong-writingSkill
- runtime-strategySkill
- site-assemblySkill
- source-articlesSkill
- source-books-coursesSkill
- source-digestSkill
- source-evaluationSkill
- source-github-reposSkill
- source-official-blogSkill
- source-official-docsSkill
- source-package-internalsSkill
- source-papers-specsSkill
- source-qaSkill
- source-talks-workshopsSkill
- state-protocolSkill
- topic-extractionSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Look for the technology itself and for its core concept: "agent orchestration", "stateful workflows", "graph-based execution" for LangGraph.
≈ “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.
Files
University material (university)
University courses are carefully sequenced and explain fundamentals well. A specific framework is rarely a whole course, but it often appears as a module, a lab or an assignment, and the concepts underneath it (distributed systems, compilers, agents, databases) are taught everywhere.
Search
- WebSearch:
<topic> course syllabus,<topic> lecture notes,<topic> lab assignment,site:edu <topic>,site:ac.uk <topic>, and in Russian<topic> курс лекции,site:*.ru <topic> лекция. - Look for the technology itself and for its core concept: "agent orchestration", "stateful workflows", "graph-based execution" for LangGraph.
- Known sources of open course material: MIT OpenCourseWare, Stanford (CS courses publish their syllabi), CMU, Berkeley, ETH, and for Russian-language material ITMO, HSE, MIPT.
What to record
- Syllabi and schedules that place the topic in a sequence (
structure). Inreason, say which weeks or lectures cover it. - Lecture notes or slides with clear explanations of the underlying concepts (
concepts). - Labs and assignments using the technology (
code-truthif on the pinned version,structureotherwise).
It is normal to find little for a young framework. Then record 1–3 strong items on the underlying concepts and say so in your status notes. Don't pad the list.
Does it work?
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- It worked
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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.