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parallel-web-search

parallel-web/pa…t-skills

CLI-backed web search. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel web_search MCP tool is available. When the bundled Parallel Search MCP is available, prefer its web_search tool for ordinary lookups and current-information queries. Only use parallel-deep-research if the user explicitly requests deep or exhaustive research.

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安装命令

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

要点

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 markdown links; mandatory Sources section at end of response with URLs and dates

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. Substitute it into the command inline — $FILENAME and <keyword> below are placeholders, not shell variables; do not copy them verbatim.

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

Concrete example for a query about React 19:

parallel-cli search "latest React 19 features and adoption" -q "React 19" -q "concurrent rendering" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/react-19-features.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.