name: text-summarizer description: Summarizes text input using LLM-powered analysis. Extracts key themes, main arguments, and produces concise structured summaries of articles, documents, and multi-paragraph text.

Text Summarizer Skill

Purpose

Perform intelligent text summarization using an LLM. Produces structured summaries with key themes, main points, and a concise abstract. Handles articles, reports, technical documents, and general prose.

Invocation

Pass text via SKILLSCALE_INTENT environment variable or stdin. Outputs a markdown-formatted summary to stdout.

Approach

•Pre-process text (word count, sentence count, basic stats).
•Send to LLM with a specialized summarization prompt.
•LLM produces structured summary with key themes and takeaways.

Output

•Word/sentence statistics
•Key themes identified
•Structured summary with main points
•One-paragraph abstract

Limitations

•Maximum input: 100,000 characters.
•Quality depends on LLM provider configured in .env.