summarize — Summarize AI Agent summarize, openmino, community, Summarize AI Agent, ide skills, text summarization, URL summarization, podcast summarization, local file summarization, Google Gemini model

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing fast and efficient content summarization capabilities from URLs, local files, and YouTube links. Summarize AI Agent is a technology that extracts key information from text

Features

Extract text summaries from URLs, podcasts, and local files
Uses Google Gemini model for text analysis
Supports multiple languages
Can extract text summaries from YouTube videos
Supports text summarization of local files

# Core Topics

Summarize AI Agent text summarization URL summarization podcast summarization local file summarization Google Gemini model
hAcKlyc hAcKlyc
[7]
[1]
Updated: 2/25/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 10/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
10/11
Quality Score
57
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing fast and efficient content summarization capabilities from URLs, local files, and YouTube links. Summarize AI Agent is a technology that extracts key information from text

Core Value

Empowers agents to rapidly summarize complex content using a fast CLI, supporting various file formats and protocols, including YouTube link transcription without requiring yt-dlp, and leveraging models like google/gemini-3-flash-preview for advanced summarization.

Ideal Agent Persona

Perfect for AI Agents needing fast and efficient content summarization capabilities from URLs, local files, and YouTube links.

↓ Capabilities Granted for summarize

Summarizing lengthy articles from URLs for quick user understanding
Transcribing YouTube videos for best-effort transcript extraction
Analyzing local files such as PDFs for key information using advanced models

! Prerequisites & Limits

  • Requires CLI access
  • Dependent on model support like google/gemini-3-flash-preview
  • Limited to file formats and protocols supported by the summarize CLI

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is summarize?

Perfect for AI Agents needing fast and efficient content summarization capabilities from URLs, local files, and YouTube links. Summarize AI Agent is a technology that extracts key information from text

How do I install summarize?

Run the command: npx killer-skills add hAcKlyc/openmino/summarize. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for summarize?

Key use cases include: Summarizing lengthy articles from URLs for quick user understanding, Transcribing YouTube videos for best-effort transcript extraction, Analyzing local files such as PDFs for key information using advanced models.

Which IDEs are compatible with summarize?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for summarize?

Requires CLI access. Dependent on model support like google/gemini-3-flash-preview. Limited to file formats and protocols supported by the summarize CLI.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add hAcKlyc/openmino/summarize. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use summarize immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

summarize

Extract text summaries from URLs, podcasts, and local files using Summarize AI Agent

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Summarize

Fast CLI to summarize URLs, local files, and YouTube links.

When to use (trigger phrases)

Use this skill immediately when the user asks any of:

  • "use summarize.sh"
  • "what's this link/video about?"
  • "summarize this URL/article"
  • "transcribe this YouTube/video" (best-effort transcript extraction; no yt-dlp needed)

Quick start

bash
1summarize "https://example.com" --model google/gemini-3-flash-preview
2summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview
3summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto

YouTube: summary vs transcript

Best-effort transcript (URLs only):

bash
1summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract-only

If the user asked for a transcript but it's huge, return a tight summary first, then ask which section/time range to expand.

Model + keys

Set the API key for your chosen provider:

  • OpenAI: OPENAI_API_KEY
  • Anthropic: ANTHROPIC_API_KEY
  • xAI: XAI_API_KEY
  • Google: GEMINI_API_KEY (aliases: GOOGLE_GENERATIVE_AI_API_KEY, GOOGLE_API_KEY)

Default model is google/gemini-3-flash-preview if none is set.

Useful flags

  • --length short|medium|long|xl|xxl|<chars>
  • --max-output-tokens <count>
  • --extract-only (URLs only)
  • --json (machine readable)
  • --firecrawl auto|off|always (fallback extraction)
  • --youtube auto (Apify fallback if APIFY_API_TOKEN set)

Config

Optional config file: ~/.summarize/config.json

json
1{ "model": "openai/gpt-5.2" }

Optional services:

  • FIRECRAWL_API_KEY for blocked sites
  • APIFY_API_TOKEN for YouTube fallback

Related Skills

Looking for an alternative to summarize or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

★ 333.8k
⑂ 0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

★ 149.6k
⑂ 0
AI

flags

Logo of vercel
vercel

The React Framework

★ 138.4k
⑂ 0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

★ 98.6k
⑂ 0
Developer