Summarize CLI
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About this skill
Problem
When summarizing web pages, local files, or YouTube content for indexing, comparison, or downstream automation, the hard part is often inconsistent input formats, anti-scraping limits, unreliable transcript retrieval, and uneven output length. Summarize-1.0 puts these sources behind one CLI: generate model summaries and emit machine-readable results with --json, which fits scripts, ingestion pipelines, and knowledge-management workflows.
How It Works
- Inputs: supports URLs, local files, and YouTube links, making it useful for extracting key points from heterogeneous sources.
- Model access: set
OPENAI_API_KEY,ANTHROPIC_API_KEY,XAI_API_KEY, orGEMINI_API_KEYfor your provider; the default model isgoogle/gemini-3-flash-preview. - Length control: use
--length short|medium|long|xl|xxland--max-output-tokensto tune summary granularity. - Extraction and fallback:
--extract-onlyhandles URL content only;--firecrawl auto|off|alwayscan useFIRECRAWL_API_KEYfor restricted sites;--youtube autoenables Apify fallback whenAPIFY_API_TOKENis configured. - Output format:
--jsonmakes results easier to parse, store, or compare in batch.
Boundaries and Notes
This skill focuses on summary generation rather than full crawling or long-term memory. Highly dynamic pages, login-gated content, or paywalled material may still depend on external extraction services, and YouTube fallback depends on token and third-party availability. If downstream use requires auditing, keep the source URL, capture time, or local file path alongside the summary.
Use Cases
- Summarize competitor pages, tech blogs, and local docs into uniform notes for meetings.
- Batch-process local Markdown and URLs in a script, then store JSON summaries for indexing.
- Generate summaries for YouTube tutorials while keeping source links for team review.
- Compare summary granularity on the same page with --length to pick the version for storage.
Best For
- Analysts who need competitor pages and docs condensed into uniform notes
- Engineers maintaining document indexes and converting Markdown into JSON summaries
- Editors curating technical tutorials with YouTube summaries and source links
- Pipeline engineers who need standardized URL summaries for knowledge bases
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