outline-refiner

Analyze research outline YAML and mapping TSV to generate a coverage report.

497|38|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill outline-refiner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: outline-refiner
Source: https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner
Command: npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill outline-refiner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps ensure your research outline is well-structured and adequately supported by evidence, preventing common pitfalls like repetitive content or insufficient depth before you start writing.

Core Features & Use Cases

  • Coverage Analysis: Checks if each subsection has mapped evidence.
  • Reuse Hotspot Detection: Identifies if a few papers are being overused across the outline.
  • Axis Specificity: Assesses if subsection descriptions are specific or generic.
  • Use Case: Before writing a literature survey, use this Skill to get a report on how well your outline's sections are covered by your mapped papers and if the structure is logical and distinct.

Quick Start

Run the outline-refiner skill to generate a coverage report for your current outline and mapping.

Frequently Asked Questions about outline-refiner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my research outline has sufficient evidence coverage before writing?

You can check evidence coverage by analyzing your outline structure and mapped evidence to generate a coverage report. This detects evidence gaps and paper reuse hotspots to ensure a verifiable planner pass before writing.

What is outline structure analysis and how does it detect generic subsections?

Outline structure analysis evaluates research planning frameworks by assessing axis specificity. It identifies generic subsection descriptions within your outline to ensure sections are distinct and sufficiently detailed before drafting.

What format do I need to provide for research outline coverage analysis?

You must provide an outline YAML file and a mapping TSV file as input. These files supply the structural hierarchy and mapped evidence required to detect coverage gaps and paper reuse hotspots.

Can I detect paper reuse hotspots across my literature survey outline?

Yes, you can detect paper reuse hotspots by running an evidence mapping analysis. It identifies if a few papers are overused across multiple outline subsections, preventing repetitive content in your literature survey.

When should I run an evidence mapping report during research planning?

You should run an evidence mapping report immediately before writing your literature survey. Generating a coverage report at this stage ensures your outline structure is adequately supported by evidence and avoids insufficient depth.