parallel-web-search

parallel-web/parallel-agent-skills · updated Apr 8, 2026

$npx skills add https://github.com/parallel-web/parallel-agent-skills --skill parallel-web-search
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summary

Fast web search for current information, research, and fact-finding across the internet.

  • Executes single objective-based queries or multiple keyword searches in parallel, returning up to 10 results with excerpts and metadata
  • Supports time-sensitive filtering via --after-date and domain-specific searches with --include-domains
  • Outputs structured JSON with titles, URLs, publish dates, and excerpts for easy parsing and follow-up queries
  • Requires inline citations for every claim using
skill.md

Web Search

Search the web for: $ARGUMENTS

Command

Choose a short, descriptive filename based on the query (e.g., ai-chip-news, react-vs-vue). Use lowercase with hyphens, no spaces.

parallel-cli search "$ARGUMENTS" -q "<keyword1>" -q "<keyword2>" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/$FILENAME.json"

The first argument is the objective — a natural language description of what you're looking for. It replaces multiple keyword searches with a single call for broad or complex queries. Add -q flags for specific keyword queries to supplement the objective. The -o flag saves the full results to a JSON file for follow-up questions.

Options if needed:

  • --after-date YYYY-MM-DD for time-sensitive queries
  • --include-domains domain1.com,domain2.com to limit to specific sources

Parsing results

Do not set max_output_tokens on the command execution — the output is already bounded by --max-results and --excerpt-max-chars-total. Capping output tokens will truncate the JSON and break parsing.

Parse the JSON from stdout. For each result, extract:

  • title, url, publish_date
  • Useful content from excerpts (skip navigation noise like menus, footers, "Skip to content")

Response format

CRITICAL: Every claim must have an inline citation. Use markdown links like Title pulling only from the JSON output. Never invent or guess URLs.

Synthesize a response that:

  • Leads with the key answer/finding
  • Includes specific facts, names, numbers, dates
  • Cites every fact inline as Source Title — do not leave any claim uncited
  • Organizes by theme if multiple topics

End with a Sources section listing every URL referenced:

Sources:
- [Source Title](https://example.com/article) (Feb 2026)
- [Another Source](https://example.com/other) (Jan 2026)

This Sources section is mandatory. Do not omit it.

After the Sources section, mention the output file path (/tmp/$FILENAME.json) so the user knows it's available for follow-up questions.

Setup

If parallel-cli is not found, install and authenticate:

curl -fsSL https://parallel.ai/install.sh | bash

If unable to install that way, install via pipx instead:

pipx install "parallel-web-tools[cli]"
pipx ensurepath

Then authenticate:

parallel-cli login

Or set an API key: export PARALLEL_API_KEY="your-key"

Discussion

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general reviews

Ratings

4.666 reviews
  • Isabella Gill· Dec 28, 2024

    Useful defaults in parallel-web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Henry Agarwal· Dec 24, 2024

    I recommend parallel-web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hana Ramirez· Dec 20, 2024

    We added parallel-web-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Isabella Ghosh· Dec 20, 2024

    Solid pick for teams standardizing on skills: parallel-web-search is focused, and the summary matches what you get after install.

  • Mia Mensah· Dec 16, 2024

    Registry listing for parallel-web-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aarav Johnson· Dec 16, 2024

    Keeps context tight: parallel-web-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Lucas Flores· Dec 8, 2024

    parallel-web-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mia Taylor· Nov 27, 2024

    Solid pick for teams standardizing on skills: parallel-web-search is focused, and the summary matches what you get after install.

  • William Bhatia· Nov 19, 2024

    parallel-web-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mia Gupta· Nov 15, 2024

    parallel-web-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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