parallel-web-extract
CLI content extraction from one or more URLs, including webpages, articles and PDFs. Save JSON, preserve successful content and report per-URL failures.
Install
With your agent
Install OMGSkills skill "parallel-web/parallel-cursor-plugin:parallel-web-extract" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/parallel-web/parallel-cursor-plugin /tmp/parallel-cursor-plugin && ln -s /tmp/parallel-cursor-plugin/skills/parallel-web-extract ~/.claude/skills/parallel-web-extract
From README
URL Extraction Extract content from: $ARGUMENTS Command Choose a short, descriptive filename based on the URL or content (e.g., vespa-docs, react-hooks-api). Use lowercase with hyphens, no spaces. Substitute it into the command inline — $FILENAME is a placeholder, not a shell variable. Pass each requested URL as a separate quoted positional argument, up to 20 per call. Do not collapse multiple URLs into one quoted $ARGUMENTS string or use eval to split them. Construct arguments directly from the requested URLs. For example: -o saves JSON. Use a .json extension and inspect an existing path before use because Extract overwrites it. Read the saved file as authoritative; stdout may truncate and human-readable output previews only part of the content. Do not treat a stale file as a successful response after a failed call.
More from this repo
parallel-data-enrichment
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parallel-deep-research
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'.
parallel-findall
Discover entities (companies, people, products, etc.) matching a natural-language description.
