scholarly-citation
Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing (cites/references/contradicts/defines), source anchoring (Xanadu). Use when writing or reviewing a reference or synthesis page that attributes and cites source-based claims so they stay traceable, or when claim attribution, citation typing, or evidence grading is needed.
npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# scholarly-citation Verifiable-attribution craft drawn from scholarly/scientific citation traditions (citation classification, typing, anchoring). It ensures every claim in this wiki is atomized, evidence-graded, attributed to a speaker, typed by citation meaning, and anchored to a source location — and therefore traceable. Unlike the three borrowed traditions (narrative, exec summary, encycloped
What does the scholarly-citation skill do?
Verifiable-attribution and citation-discipline craft — atomic claim decomposition, evidence grading (primary/analysis/forecast tiers), claimant attribution, citation typing (cites/references/contradicts/defines), source anchoring (Xanadu). Use when writing or reviewing a reference or synthesis page that attributes and cites source-based claims so they stay traceable, or when claim attribution, citation typing, or evidence grading is needed.
How do I install it?
Run `npx skills add alfadur7/llm-wiki-newsroom --skill scholarly-citation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alfadur7/llm-wiki-newsroom, a repository with 70 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.