Introduction¶

When dropping a link, a PDF, or an audio/video clip into an Agent conversation, the common approach is to let the model “read it directly” or write a script to scrape the content. However, with website anti-scraping measures, PDF pagination, and YouTube metadata and transcription, every step requires separate handling and often floods the context window. Below is an introduction to the community Skill Summarize-1.0 on SkillHub (Coordinate: @user_dd0cd521/cn20260415, current version 1.0.1): It integrates the summarize command-line tool into the Agent’s workflow, using a unified CLI to process web pages, local PDF/image/audio files, and YouTube links, and then passes the results to the model for structured summarization.

What is this?¶

Summarize-1.0 belongs to the SkillHub category knowledge-management, originates from the community, and is maintained by the publisher user_dd0cd521. The name in the Skill’s SKILL.md is summarize. Its one-sentence positioning is: Generate summaries for URLs or local files via the summarize CLI, covering web, PDF, images, audio, and YouTube.

Compared to “pasting the full text into the prompt,” this Skill requires that the executable file summarize is installed in the environment and that API Keys for various model providers are configured according to the documentation. The Agent calls the CLI following the Skill instructions, rather than piecing together temporary scraping logic.

Core Features¶

The following capabilities are derived from the SKILL.md within the Skill package and the SkillHub page description, and have been verified for consistency.

Multiple Input Types: HTTP(S) web pages, local paths (including files like PDFs), YouTube links (supports --youtube auto).
Model & Length: Specify the provider model via --model; control output size using --length short|medium|long|xl|xxl|<chars> and --max-output-tokens; defaults to google/gemini-3-flash-preview if no model is specified.
Extraction & Output Modes: --extract-only (URL only), --json (machine-readable output); web scraping can use --firecrawl auto|off|always; YouTube can use Apify fallback when APIFY_API_TOKEN is configured.
Optional Configuration: The user-level config file ~/.summarize/config.json can set default items such as model.
Dependency Declaration: The Skill metadata indicates the requirement for the summarize binary to exist on the local machine and provides the Homebrew installation path steipete/tap/summarize (brew method, suitable for environments like macOS with brew).

SkillHub tag requires_api_key=true: Corresponding environment variables must be configured for the chosen model provider at minimum (see the next section).

Installation & Activation¶

1. Install SkillHub CLI (if not already installed)¶

Check or install according to the SkillHub installation documentation:

command -v skillhub && skillhub --version

If not installed, you can execute (full installation, including default Skills):

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash

2. Install Summarize-1.0 into the current Agent’s skills directory¶

SkillHub requires the use of --dir during installation; otherwise, it defaults to ./skills/ and the Agent may not be able to load it. The coordinates match the page hints:

skillhub install cn20260415 --namespace user_dd0cd521 --dir <your Agent skills directory>

Common paths (from SkillHub installation documentation):

Cursor: ~/.cursor/skills/
Claude Code: ~/.claude/skills/
Codex: ~/.codex/skills/ or .agents/skills/ under the project

You can also provide the following prompt to an AI supporting Skills, asking it to install @user_dd0cd521/cn20260415 following https://skillhub.cn/install/skillhub.md (the official script provided by the SkillHub skill page).

3. Install summarize CLI¶

The summarize executable must exist on the local machine before the Skill runs. The brew method recommended by SKILL.md is:

brew install steipete/tap/summarize

For environments without brew, such as Linux, you need to obtain the installation method matching your platform from summarize.sh yourself; the Skill package only lists the brew recipe above and does not provide official commands for other platforms, so they will not be invented here.

4. API Keys & Optional Services¶

Set keys according to the chosen --model (excerpted from SKILL.md):

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)

Optional:

FIRECRAWL_API_KEY: Used with --firecrawl when site scraping is blocked
APIFY_API_TOKEN: Apify fallback for YouTube --youtube auto

After installing the Skill, refresh or restart according to the specific Agent’s instructions so that SKILL.md is loaded.

Typical Usage¶

The following examples come directly from the Quick start and configuration instructions within the Skill package and can be reproduced in the terminal (requires summarize installed and keys configured).

Summarize a web page:

summarize "https://example.com" --model google/gemini-3-flash-preview

Summarize a local PDF:

summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview

Summarize YouTube (automatic strategy):

summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto

Set default model (optional):

# Edit ~/.summarize/config.json

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

In an Agent session, after enabling this Skill, simply explain the URL or file path to be summarized in natural language; the Agent should call the above CLI according to SKILL.md and include the results in the reply. Specific conversational phrasing varies by Agent; the Skill does not prescribe a fixed prompt template.

Scenarios & Notes¶

Who it is for

Those who frequently ask Coding Agents to read documentation, read academic paper PDFs, or listen to meeting minutes audio, and wish to reduce the writing of custom scrapers.
Teams already using or willing to adopt the summarize CLI and accept the cost of paying model providers based on usage (API Key).

Limitations & Notes

Hard Dependency: Without the summarize binary, the requires.bins in the Skill metadata cannot be satisfied. You should install the CLI before discussing the Skill.
Keys & Compliance: requires_api_key=true; keys should only be injected via environment variables or local configuration, do not write them into the repository.
Platform Differences: The brew installation instructions are for Homebrew users; other systems should verify the official summarize installation method themselves.
Community Skill: Originates from the community, version 1.0.1; to upgrade, you can use skillhub to reinstall the same slug (add --force if necessary), based on the SkillHub page.
SkillHub Side Data (at time of scraping): Rating 100000, Downloads 775, Installs 8; Category knowledge-management. The core description consistent with the page intro is: Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).

Conclusion¶

The value of Summarize-1.0 lies in solidifying “multi-type input → unified CLI summarization” into an Agent Skill, reducing the cost of writing temporary scraping scripts every time. If you use a client like Cursor that supports SkillHub, you can follow this article to install @user_dd0cd521/cn20260415, the local summarize, and API Keys, then hand over links or file paths to the Agent for processing.

SkillHub Page: https://www.skillhub.cn/skills/user_dd0cd521/cn20260415
API Coordinate Entry: https://api.skillhub.cn/user_dd0cd521/cn20260415
summarize Project Homepage: https://summarize.sh

Summarize-1.0: Unified Summarization for Web Pages and Local Files via summarize CLI