ase-docs-distill

Extract and rank key points from documents with salience scores.

44|5|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/rse/ase --skill ase-docs-distill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ase-docs-distill
Source: https://github.com/rse/ase/tree/main/plugin/skills/ase-docs-distill
Command: npx skills add https://github.com/rse/ase --skill ase-docs-distill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of sifting through large documents to identify and extract the most important points efficiently.

Core Features & Use Cases

  • Document Distillation: Summarize documents into a list of key points, ranked by importance.
  • Salience Ranking: Each point is assigned a salience rank (0-10) based on its importance.
  • Rationale and Evidence: Provides a rationale for each point and a verbatim evidence snippet.
  • Use Case: If you have a long technical document and you need to quickly understand the main points without reading the entire document.

Quick Start

Distill the key points of a document with the command: /ase-docs-distill doc/tech-specification.md --top 5

Frequently Asked Questions about ase-docs-distill

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

FAQPage Schema
How do I extract key points from a long document?

You can extract key points from a long document by distilling the text into a ranked list. This process parses your provided file to identify and summarize the most important information efficiently.

What is the best way to summarize a technical specification with importance ranking?

The best way to summarize a technical specification is to use document distillation, which assigns a salience rank from 0 to 10 to each extracted point. It also provides a rationale and verbatim evidence snippet for every ranked item.

Does document distillation work with markdown files containing YAML frontmatter?

Yes, document distillation supports markdown files containing YAML frontmatter. The text parsing capabilities required for this extraction process include file I/O and explicit support for processing YAML frontmatter formats.

How do I limit the number of extracted points when summarizing long texts?

To limit the number of extracted points when summarizing long texts, you can specify a top limit parameter in your command. This restricts the output to only the highest ranked key points based on their salience score.

Can I get evidence snippets for the key points extracted from my text?

Yes, you can get evidence snippets for the extracted key points. The distillation process provides a rationale for each point alongside a verbatim evidence snippet taken directly from the source document.