knowledge-summarize

Generate TL;DR summaries from indexed document chunks via the Knowledge API.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/evolution-foundation/evo-nexus --skill knowledge-summarize
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge-summarize
Source: https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/knowledge-summarize
Command: npx skills add https://github.com/evolution-foundation/evo-nexus --skill knowledge-summarize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of turning long, indexed documents or learning units into a fast, readable overview when you need to understand content quickly without rereading everything.

Core Features & Use Cases

  • Chunk-based TL;DR generation: Fetches relevant document chunks from pgvector-backed storage and synthesizes a concise summary.
  • Document or unit level summaries: Supports summarizing either a single document (document_id) or an entire aggregated unit (unit_id).
  • Structured output: Produces a clear TL;DR plus key points tailored for quick consumption (with a usage-oriented footer indicating chunk/document sources).

Quick Start

Ask for the TL;DR of a specific document or lesson by providing its document_id or unit_id, for example: "Summarize document <UUID> as one paragraph with key points."

Frequently Asked Questions about knowledge-summarize

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

FAQPage Schema
How do I generate a TL;DR summary from a document in my knowledge base?

Generate a TL;DR summary by requesting it with a specific document_id or unit_id. The system fetches relevant indexed chunks, concatenates and truncates the content, and produces a concise structured markdown overview for rapid comprehension.

Can I summarize an entire learning module or just a single PDF document?

Summarize either a single PDF document by providing its document_id or an entire aggregated learning unit by providing its unit_id. Both options fetch indexed chunks to synthesize a quick overview with key points.

How does document chunk retrieval work for creating summaries?

Document chunk retrieval fetches relevant text segments from pgvector-backed storage using the Knowledge API. It concatenates and truncates these chunks before passing them to the model to produce a structured markdown TL;DR.

What format does the TL;DR output use?

The TL;DR output uses structured markdown featuring a concise summary and key points tailored for quick consumption. It includes a usage-oriented footer indicating the source chunks and documents used for rendering.

Do I need to manually select text chunks to summarize a lesson?

No manual chunk selection is needed to summarize a lesson. You simply provide the unit_id, and the system automatically retrieves, concatenates, and truncates the necessary chunks to generate the summary.

What are the limitations when summarizing large documents from a knowledge base?

Summarizing large documents is subject to max token limits enforced during processing. The system truncates concatenated chunk content to fit these constraints before generating the final structured markdown summary.