Agent skill · Documentation

journalism-writing

Journalism and argumentation writing craft — inverted pyramid, lede, nut graph, kicker, explainer framing, PAGE frames, Toulmin argument (claim/rebuttal/qualifier), Hegelian dialectic, BBC due impartiality. Use when writing or reviewing news/explainer pieces, landscape overviews, or issue analyses that fairly juxtapose opposing views, or when a strong lede, sound argument structure, or balanced conclusion is needed.

alfadur767★ · +11/wk · 1 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add alfadur7/llm-wiki-newsroom --skill journalism-writing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 8 KB
Bundled scripts: yes
Path: .claude/skills/journalism-writing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 70 · +3 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# journalism-writing Writing craft drawn from news/explanatory journalism and argumentation traditions — narrative lead (Lede→Nut graph→Kicker), dialectical structure (thesis·antithesis·synthesis), argument quality (Toulmin), and fairness (BBC due impartiality). `criteria.json` is the SoT for each criterion's definition, comparator, and source. The shared parsing and wiki-global state that the det

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About this skill
What does the journalism-writing skill do?

Journalism and argumentation writing craft — inverted pyramid, lede, nut graph, kicker, explainer framing, PAGE frames, Toulmin argument (claim/rebuttal/qualifier), Hegelian dialectic, BBC due impartiality. Use when writing or reviewing news/explainer pieces, landscape overviews, or issue analyses that fairly juxtapose opposing views, or when a strong lede, sound argument structure, or balanced conclusion is needed.

How do I install it?

Run `npx skills add alfadur7/llm-wiki-newsroom --skill journalism-writing --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.

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