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outline-refiner

outline-refiner

github.com/willoscarProductivity51744 installsUpdated 4w ago
Repository

About outline-refiner

outline-refiner is a deterministic planning skill that checks outline structure, paper-mapping coverage, and reuse. It produces an auditable coverage report without writing survey prose.

Key features

  1. 01Measures paper coverage per H3
  2. 02Finds paper reuse hotspots
  3. 03Summarizes evidence levels of mapped papers
  4. 04Checks specificity of subsection axes
  5. 05Writes coverage reports and append-only run records

Use cases

  1. 01Check outline evidence coverage before writing
  2. 02Find papers reused across many subsections
  3. 03Diagnose overly generic subsection axes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill outline-refiner

After installing, type/outline-refinerin Claude Code to confirm it loaded.

Bundled filesscripts/run.py

Details

From the project README

Outline Refiner (Planner pass, NO PROSE)

Triggers & routing

  • Trigger: planner, dynamic outline, outline refinement, coverage report, 大纲迭代, 覆盖率报告.
  • Use when: you have outline/outline.yml + outline/mapping.tsv and want a verifiable, NO-PROSE planner pass before writing.

Goal: make the outline auditable by adding an explicit planner stage that answers:

  • Do we have enough mapped evidence per H3?
  • Are the same few papers reused everywhere?
  • Are subsection axes still generic/scaffold-y?
  • Is the outline likely to produce a paper-like structure (final ToC budget: ~6–8 H2; fewer, thicker H3s)?

This is a deterministic “planner” unit: it must not write survey prose.

Inputs

Required:

  • outline/outline.yml
  • outline/mapping.tsv

Optional (best-effort diagnosis; may be missing early in the pipeline):

  • outline/OUTLINE_BUDGET_REPORT.md (if present: explains recent merges; helps interpret mapping/coverage changes)
  • papers/paper_notes.jsonl (for evidence levels)
  • outline/subsection_briefs.jsonl (for axis specificity)
  • GOAL.md (for scope drift hints)

Outputs

  • outline/coverage_report.md (bullets + small tables; NO PROSE)
  • outline/outline_state.jsonl (append-only JSONL; one record per run)

Workflow (planner pass, NO PROSE)

  1. Parse outline/outline.yml to enumerate H2 sections + H3 subsections (section sizing / budget).
    • If outline/OUTLINE_BUDGET_REPORT.md exists, use it as the merge/change log so the coverage report can explain why structure changed.
  2. Read outline/mapping.tsv and compute per-H3 coverage and reuse hotspots.
  3. If papers/paper_notes.jsonl exists, summarize evidence levels (fulltext/abstract/title) for mapped papers.
  4. If outline/subsection_briefs.jsonl exists, compute axis specificity (generic vs specific axes) per H3.
  5. Optionally use GOAL.md to flag obvious scope drift (keywords not reflected in outline).
  6. Write outline/coverage_report.md and append a run record to outline/outline_state.jsonl.

Freeze policy

  • If outline/coverage_report.refined.ok exists, the script will not overwrite outline/coverage_report.md.

Script

Quick Start
  • uv run python .codex/skills/outline-refiner/scripts/run.py --help
  • uv run python .codex/skills/outline-refiner/scripts/run.py --workspace <workspace>
All Options
  • --workspace <dir>: workspace root
  • --unit-id <U###>: unit id (optional; for logs)
  • --inputs <semicolon-separated>: override inputs (rare; prefer defaults)
  • --outputs <semicolon-separated>: override outputs (rare; prefer defaults)
  • --checkpoint <C#>: checkpoint id (optional; for logs)
Examples
  • Planner-pass diagnostics after section-mapper:
    • uv run python .codex/skills/outline-refiner/scripts/run.py --workspace <workspace>

Troubleshooting

Issue: report is missing evidence-level or axis-specificity columns

Cause:

  • Optional inputs are missing (no papers/paper_notes.jsonl and/or no outline/subsection_briefs.jsonl).

Fix:

  • Run paper-notes and/or subsection-briefs, then rerun outline-refiner.

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