
chapter-briefs
by WILLOSCAR
chapter-briefsは、other分野における実用的なスキルです。複雑な課題への対応力を強化し、業務効率と成果の質を改善します。
SKILL.md
name: chapter-briefs
description: |
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.
Chapter Briefs (H2 writing cards) [NO PROSE]
Purpose: turn each H2 chapter that contains H3 subsections into a chapter-level writing card so the writer can:
- add a chapter lead paragraph block (coherence)
- keep a consistent comparison axis across the chapter
- avoid “8 small islands” where every H3 restarts from scratch
This artifact is internal intent, not reader-facing prose.
Why this matters for writing quality:
- Chapter briefs prevent the "paragraph island" failure mode: without a throughline, each H3 restarts and repeats openers.
- Treat
throughlineandlead_paragraph_planas decision constraints, not copyable sentences.
Inputs
outline/outline.ymloutline/subsection_briefs.jsonl- Optional:
GOAL.md
Outputs
outline/chapter_briefs.jsonl
Output format (outline/chapter_briefs.jsonl)
JSONL (one object per H2 chapter that has H3 subsections).
Required fields:
section_id,section_titlesubsections(list of{sub_id,title}in outline order)synthesis_mode(one of:clusters,timeline,tradeoff_matrix,case_study,tension_resolution)synthesis_preview(1–2 bullets; how the chapter will synthesize across H3 without template-y “Taken together…”)throughline(3–6 bullets)key_contrasts(2–6 bullets; pull from each H3contrast_hookwhen available)lead_paragraph_plan(2–3 bullets; plan only, not prose)- Each bullet should be chapter-specific and mention concrete handles (axes / contrast hooks / evaluation lens).
- Avoid generic glue like "Para 1: introduce the chapter" without naming what is being compared.
bridge_terms(5–12 tokens; union of H3 bridge terms)
How C5 uses this (chapter lead contract)
The writer uses outline/chapter_briefs.jsonl to draft sections/S<sec_id>_lead.md (body-only; no headings).
Contract (paper-like, no new facts):
- Preview the chapter’s comparison axes (2–3) and how the H3s connect; do not restate the table of contents.
- Reuse
key_contrasts/bridge_termsas handles (not templates) so the chapter reads coherent without repeating "Taken together" everywhere. - Keep it grounded (>=2 citations later in C5; do not invent new papers here).
Workflow
- (Optional) Read
GOAL.mdto pin scope/audience, and inject that constraint into the chapter throughline. - Read
outline/outline.ymland list H2 chapters that have H3 subsections. - Read
outline/subsection_briefs.jsonland group briefs bysection_id. - For each chapter, produce:
- a throughline: what the whole chapter is trying to compare/explain
- key contrasts: 2–6 contrasts that span multiple H3s
- a synthesis_mode: enforce synthesis diversity across chapters (avoid repeating the same closing paragraph shape)
- a lead paragraph plan: 2–3 paragraph objectives (what the chapter lead must do)
- a bridge_terms set to keep terminology stable across H3s
- Write
outline/chapter_briefs.jsonl.
Quality checklist
- One record per H2-with-H3 chapter.
- No placeholders (
TODO/…/(placeholder)/template instructions). -
throughlineandkey_contrastsare chapter-specific (not copy/paste generic). -
lead_paragraph_planbullets explicitly preview 2–3 comparison axes and how the H3 subsections partition them (no generic chapter-intro boilerplate).
Script
Quick Start
python .codex/skills/chapter-briefs/scripts/run.py --helppython .codex/skills/chapter-briefs/scripts/run.py --workspace workspaces/<ws>
All Options
--workspace <dir>--unit-id <U###>--inputs <semicolon-separated>--outputs <semicolon-separated>--checkpoint <C#>
Examples
- Default IO:
python .codex/skills/chapter-briefs/scripts/run.py --workspace workspaces/<ws>
- Explicit IO:
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"
Refinement marker (recommended; prevents churn)
When you are satisfied with chapter briefs, create:
outline/chapter_briefs.refined.ok
This is an explicit "I reviewed/refined this" signal:
- prevents scripts from regenerating and undoing your work
- (in strict runs) can be used as a completion signal to avoid silently accepting a bootstrap scaffold
Notes
- This helper is a bootstrap; refine manually if needed.
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です

