text-summarizer

text-summarizer is an open-source workflow skill for Claude Code and compatible agents, published by NVIDIA. Its author describes it as: “Summarizes text locally without any network access or external API calls”. The project has 15k stars on GitHub and is available under the Apache-2.0 license. Add it to your setup with `git clone https://github.com/NVIDIA/SkillSpector ~/.claude/skills/sdi1_mismatch`.

What text-summarizer does

Condenses long documents into short summaries using local NLP techniques. No data leaves the machine.

Installation

Add text-summarizer to your agent with:

git clone https://github.com/NVIDIA/SkillSpector ~/.claude/skills/sdi1_mismatch

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for text-summarizer is organised into these sections:

• Purpose
• Usage

When to use it

Reach for text-summarizer when you want workflow help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

• Clear Apache-2.0 license — safe to read and adapt
• Ships in NVIDIA/SkillSpector, an established project with 14,743 GitHub stars
• Actively maintained (recent commits)

Topics

Frequently asked questions

What does text-summarizer do?

Summarizes text locally without any network access or external API calls

How do I install text-summarizer?

Run git clone https://github.com/NVIDIA/SkillSpector ~/.claude/skills/sdi1_mismatch in your agent, then reload your skills. Review the source at https://github.com/NVIDIA/SkillSpector before installing.

Is text-summarizer free to use?

Yes. text-summarizer is free and open source under the Apache-2.0 license, so you can read, run, and adapt it within that license's terms.

Where does text-summarizer come from?

text-summarizer ships inside NVIDIA/SkillSpector, a repository that contains 24 catalogued skills in total. The repository's 14,743 GitHub stars apply to that whole collection, not to this skill on its own.