CLAUDE CODE MARKETPLACES

parallel-web-search

DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research.

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

Options if needed:

  • --after-date YYYY-MM-DD for time-sensitive queries
  • --include-domains domain1.com,domain2.com to limit to specific sources
  • --exclude-domains domain.com to filter out noisy sources
  • --mode advanced for harder questions (multi-step, agentic search). Default basic is right for almost everything; only escalate when basic results are insufficient
  • --location us (ISO 3166-1 alpha-2) for geo-targeted results

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.

Prefer reading from the saved -o file, not stdout. Even bounded output regularly exceeds harness stdout limits and gets truncated. Read /tmp/$FILENAME.json for the authoritative payload. 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

Requires parallel-cli (installed and authenticated). If parallel-cli --version fails, or if a later command fails with an authentication error, tell the user to see https://docs.parallel.ai/integrations/cli and stop.

Installs982
GitHub Stars48
LanguagePython
AddedFeb 6, 2026
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