bibliometric-analysis
Skill8 starsChanged 4 months agoNo licenceView on GitHub
End-to-end bibliometric analysis (science mapping) of a research field — collect scholarly metadata from OpenAlex, screen it into a coding sheet, compute structured indicators, generate an academic chart suite (trends, themes, keyword co-occurrence, co-citation, collaboration networks), and write insight-driven reports. Use whenever the user wants to map a body of academic literature, run a quantitative or systematic literature review, analyze citations, keywords, journals, authors, or countries, build co-citation / keyword / collaboration networks, find research gaps, or says things like "bibliometric analysis", "science mapping", "lembar koding bibliometrika", or "what does the literature say about X, quantitatively".
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 6 are distinctive, and 6 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.
6
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 308,232 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.
In this repository10 other files it gives its agents.
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