About this skill

Problem

Summarizing web pages, local files, and YouTube content usually means juggling extraction, model choice, output length, and formatting. summarize data file reduces that to a single CLI workflow, which is useful for scripts, triage, and documentation cleanup.

How It Works

Inputs: URLs, local files, and YouTube links; --extract-only extracts URL content only.
Model setup: use OPENAI_API_KEY, ANTHROPIC_API_KEY, XAI_API_KEY, or GEMINI_API_KEY; the default model is google/gemini-3-flash-preview when none is set.
Output control: --length selects short through xxl, --max-output-tokens caps generation length, and --json produces machine-readable output.
Fallback extraction: --firecrawl supports auto, off, and always; --youtube can use the Apify fallback when APIFY_API_TOKEN is set.

Boundaries

This skill fits engineers who already have a model API key and want repeatable summaries. FIRECRAWL_API_KEY is for blocked sites, and APIFY_API_TOKEN is for YouTube fallback; local-file summarization does not require those extra services.

Screenshots

Use Cases

Summarize a long technical blog URL into a 200-word incident note
Read local Markdown files in a script and generate JSON summary fields
Compress a YouTube lecture link into a project background brief
Extract page text with Firecrawl fallback when direct fetch fails

Best For

Technical writers who turn web pages, docs, and YouTube links into report material
DevOps engineers who generate structured summaries in automation scripts
AI application engineers comparing summary quality across model providers
Researchers who need fast digests of local technical documents

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