Name the piece — re-write the masthead (headline + standfirst + kicker), every section title, and every figure/photo/table caption to a research-driven titling standard, killing the AI-tell patterns (the 'flat statement. flat counter-statement.' two-beat above all) a competent default falls into. Reads editor.md/json + analyst.json + the resolved topic_profile; writes copywriter.json — STRINGS ONLY (masthead{headline,standfirst,kicker}, items{edt_xx:{title}, des_xx:{caption}}), each backed by a real ana_*. Names, never edits: it touches no finding, no number, no data-* id, no layout — so the Verify layer is untouched and the Programmer renders the masthead + figcaptions from copywriter.json verbatim. Runs at Stage 3.5, after the Editor, before the Designer.
$npx -y skills add qinghonglin/data2story-skill --skill copywriterInstalls into the current project.
Run `npx skills use "https://github.com/qinghonglin/data2story-skill" --skill "qinghonglin/data2story-skill/copywriter"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/qinghonglin/data2story-skill" that are relevant to the current task. Run `npx skills add "https://github.com/qinghonglin/data2story-skill"` and select the relevant skills, then follow their instructions.