Smart Summarizer for Openclaw

A sophisticated content processing tool that transforms long-form text, videos, and documents into actionable summaries with TL;DRs and key takeaways.

billyhetech
v1.0.0
Apr 6, 2026
0
649
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install smart-summarizer-v1

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install smart-summarizer-v1 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Smart Summarizer?

The Smart Summarizer is a core utility designed for Openclaw Skills to help users manage information overload. It acts as a dedicated research assistant that identifies the primary purpose of any shared content—be it a web article, a YouTube video, or a complex PDF—and compresses it into a high-utility digest. Unlike generic tools, this skill focuses on faithful compression and precision, ensuring that the synthesized output represents the source accurately without unnecessary fluff.

This tool is particularly valuable for developers and researchers using Openclaw Skills who need to quickly decide if a piece of content warrants their full attention. By providing structured data points like estimated read time, concrete takeaways, and action items, it bridges the gap between raw data and actionable knowledge.

Smart Summarizer Use Cases

  • Summarizing long-form technical articles or news shared via URL.
  • Extracting key insights and action items from YouTube transcripts without watching the full video.
  • Distilling long PDF documents into searchable markdown digests.
  • Processing multiple links at once to find common themes and overlapping topics.
  • Creating a local, searchable archive of all read content for future reference.

How Smart Summarizer Works

  1. The user provides a source, such as a URL, a PDF file, or a block of pasted text, to the Openclaw Skills environment.
  2. The skill automatically detects the input type and fetches the content using direct web fetching, transcript extraction, or text parsing.
  3. The AI analyzes the content to identify the central message and extracts 3-5 specific takeaways containing names, dates, or metrics.
  4. A structured digest is generated, including a one-sentence TL;DR and an honest assessment of the content's value.
  5. The summary is saved to a local markdown file, enabling future search and retrieval via the Openclaw Skills archive.

Smart Summarizer Setup

To integrate the Smart Summarizer into your workflow, ensure your agent has access to the standard filesystem and web search capabilities. You can prepare your local environment for archiving by creating the summary directory:

mkdir -p ~/.openclaw/summaries/

The skill will automatically begin processing content whenever you share a link or ask for a summary within the Openclaw Skills interface.

Smart Summarizer Data Schema & Taxonomy

The Smart Summarizer maintains a organized taxonomy of your processed information. Each entry is stored using the following structure:

Component Detail
Storage Path ~/.openclaw/summaries/[YYYY-MM-DD]-[slug].md
Header Includes Title, Source URL, and Content Length
Key Sections TL;DR, Key Takeaways, Action Items, and Worth Reading Assessment
Language Supports both English and Chinese content processing
Archive Search Accessible via keywords like "search my summaries" or "what did I read about"

Smart Summarizer Advanced Features

  • Intelligent Batch Mode: Summarizes multiple items simultaneously and provides a comparison of common themes.
  • Multilingual Support: Automatically detects the source language and can respond in English or Chinese based on user preference.
  • Action Item Extraction: Intelligently identifies tasks or next steps implied by the content, specifically for how-tos and research.
  • Local Knowledge Base: Builds a persistent history of your reading habits, allowing the agent to reference past summaries in new conversations.

SKILL.md


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