journalism-writing

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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.

AI & Automation 66 stars 10 forks Updated today MIT

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Skill Content

# 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 deterministic checks (judge=A) rely on are injected by the orchestrator (the skill is content-type-agnostic). Examples are illustrative of the target English prose. ## Dialectic structure (jrn.thesis-antithesis · jrn.c-section-size · jrn.c-stance-naming · jrn.monitoring-balance) Develop an issue as Hegelian thesis → antithesis → synthesis. State thesis and antithesis with explicit **Position A / Position B** bold labels (ko rendering: **A 입장 / B 입장**); add a **C — Mediation** label (ko: **C 중재**) only when a genuine convergence exists. The C paragraph must not run longer than the longer of A and B, so the convergence is not mistaken for the main clash. If C is not a synthesis but a meta-critique (weakening both sides at once, flagging interest bias), move it out of the dialectic frame — a meta-critique in the C slot breaks the three-part structure. Synthesis does not pick a winner. In Hegel's terms it *sublates* — cancels and preserves — identifying what each side correctly grasps. Concretely, place each side's **monitoring point** (what one would observe if that side were right) sy...

Details

Author
alfadur7
Repository
alfadur7/llm-wiki-newsroom
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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