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Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC. **Trigger**: chapter briefs, H2 briefs, chapter lead plan, section intent, 章节意图, 章节导读, H2 卡片. **Use when**: `outline/outline.yml` + `outline/subsection_briefs.jsonl` exist and you want thicker chapters (fewer headings, more logic). **Skip if**: the outline is still changing heavily (fix outline/mapping first). **Network**: none. **Guardrail**: NO PROSE; do not invent papers; only reference subsection ids and already-mapped papers.
npx skill4agent add willoscar/research-units-pipeline-skills chapter-briefsthroughlinelead_paragraph_planoutline/outline.ymloutline/subsection_briefs.jsonlGOAL.mdoutline/chapter_briefs.jsonloutline/chapter_briefs.jsonlsection_idsection_titlesubsections{sub_id,title}synthesis_modeclusterstimelinetradeoff_matrixcase_studytension_resolutionsynthesis_previewthroughlinekey_contrastscontrast_hooklead_paragraph_planbridge_termsoutline/chapter_briefs.jsonlsections/S<sec_id>_lead.mdkey_contrastsbridge_termsGOAL.mdoutline/outline.ymloutline/subsection_briefs.jsonlsection_idoutline/chapter_briefs.jsonlTODO…(placeholder)throughlinekey_contrastslead_paragraph_planpython .codex/skills/chapter-briefs/scripts/run.py --helppython .codex/skills/chapter-briefs/scripts/run.py --workspace workspaces/<ws>--workspace <dir>--unit-id <U###>--inputs <semicolon-separated>--outputs <semicolon-separated>--checkpoint <C#>python .codex/skills/chapter-briefs/scripts/run.py --workspace workspaces/<ws>python .codex/skills/chapter-briefs/scripts/run.py --workspace workspaces/<ws> --inputs "outline/outline.yml;outline/subsection_briefs.jsonl;GOAL.md" --outputs "outline/chapter_briefs.jsonl"outline/chapter_briefs.refined.ok