A unified web toolkit that routes between search, URL extraction, data enrichment, and deep research, all powered by parallel-cli. The standout feature is its academic source priority: it defaults to peer-reviewed papers, preprints, and scholarly databases over general web results when the topic warrants it. Use web search for quick lookups, extract for fetching specific URLs (including academic PDFs), enrichment when you have a list of entities that need the same information added, and deep research only when someone explicitly asks for exhaustive reports. The routing logic is sensible: it knows not to loop web searches when enrichment would handle batch lookups better. Requires parallel-cli installed and authenticated, but the setup instructions are straightforward.

skills.sh installs
2.1K
GitHub stars
56.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill parallel-web --agent claude-code

Installs into .claude/skills of the current project.

Files

Parallel Web Toolkit

A unified skill for Parallel's web-intelligence workflows. For scientific topics, prefer primary literature and authoritative institutional sources.

Reviewed against official API documentation and parallel-web-tools 0.9.3. Commands were checked locally, including offline dry runs; networked examples are illustrative and were not submitted as paid jobs or monitor mutations. See API contracts and sources for version boundaries and CLI response differences.

Routing — pick the right capability

Read the user's request and then open the corresponding reference file before running a command.

Sponsors

Details

Repository
github.com/k-dense-ai/scientific-agent-skills
Categories
DevOps & CI/CD, AI & Agent Building, Data Science & ML, Automation & Workflows, Sales & Marketing, CLI & Terminal
First seen
Jun 3, 2026

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