Bind papers to chapter-level sections first, writing `outline/section_bindings.jsonl` and `outline/section_binding_report.md`.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Always read:
references/overview.mdUse scripts/run.py only for deterministic binding and report materialization:
papers/core_set.csv as the authoritative paper pooloutline/chapter_skeleton.yml as the chapter contractpapers/papers_dedup.jsonl when available for richer metadatapapers/core_set.csvoutline/chapter_skeleton.ymlpapers/papers_dedup.jsonloutline/section_bindings.jsonloutline/section_binding_report.mdassets/output_contract.jsonuv run python .codex/skills/section-bindings/scripts/run.py --workspace <workspace>--workspace <dir>: workspace containing the core set and chapter skeleton--unit-id <id>: optional harness metadata--inputs <semicolon-separated>: optional override from UNITS.csv--outputs <semicolon-separated>: optional output override; defaults are outline/section_bindings.jsonl and outline/section_binding_report.md--checkpoint <C*>: optional harness metadatauv run python .codex/skills/section-bindings/scripts/run.py --workspace <workspace> --inputs 'papers/core_set.csv;outline/chapter_skeleton.yml;papers/papers_dedup.jsonl' --outputs 'outline/section_bindings.jsonl;outline/section_binding_report.md'まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
日本語の概要は準備中です。原文の説明を表示しています。
Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
日本語の概要は準備中です。原文の説明を表示しています。
Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
日本語の概要は準備中です。原文の説明を表示しています。
Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
日本語の概要は準備中です。原文の説明を表示しています。
Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
日本語の概要は準備中です。原文の説明を表示しています。
Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
日本語の概要は準備中です。原文の説明を表示しています。