parallel-web-search

Mặc định cho tất cả các truy vấn nghiên cứu và web. Sử dụng cho bất kỳ tra cứu, nghiên cứu, điều tra hoặc câu hỏi cần thông tin hiện tại. Nhanh và tiết kiệm chi phí. Chỉ sử dụng…

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

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.

If the parallel-cli binary is not installed

If the shell reports command not found: parallel-cli (i.e. the binary itself is missing — distinct from a No such command error from a stale CLI, which the in-body guidance above covers), stop immediately. Do NOT search the web yourself, do NOT use any built-in search tools, and do NOT try to answer the query from your own knowledge. Instead, tell the user:

  1. parallel-cli is not installed
  2. Run /parallel-setup to install it
  3. Then retry their request

Thêm skills từ parallel-web

parallel-cli-setup
parallel-web
Set up and maintain the Parallel CLI (install, auth, balance, skills install)
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parallel-data-enrichment
parallel-web
Bulk enrichment of company, people, or product data with web-sourced fields like CEO names, funding, and contact info. Accepts inline JSON data or CSV files; outputs enriched results to CSV Runs asynchronously with progress tracking via monitoring URL and polling commands Requires parallel-cli tool and internet access; handles large datasets with configurable timeouts Supports flexible field requests through natural language intent descriptions (e.g., "CEO name and founding year")
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parallel-deep-research
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Exhaustive research with configurable depth, latency, and cost trade-offs for complex topics. Three processor tiers (pro-fast, ultra-fast, ultra) ranging from 30 seconds to 25 minutes, with cost scaling from 1x to 3x baseline Asynchronous execution with polling: kick off research instantly, monitor progress via URL, retrieve results when ready without blocking Outputs formatted markdown report and JSON metadata; executive summary printed to stdout for quick overview Designed for explicit...
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parallel-findall
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Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' —…
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parallel-monitor
parallel-web
Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something…
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parallel-web-extract
parallel-web
Extract content from multiple URLs in parallel, token-efficiently. Handles webpages, articles, PDFs, and JavaScript-heavy sites with a single command Runs in a forked context to minimize token overhead compared to built-in WebFetch Supports batch extraction of multiple URLs with optional focus objectives Requires parallel-cli installation and authentication; outputs extracted content as markdown to a local file for follow-up queries
official
parallel-web-search
parallel-web
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...
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result
parallel-web
Lấy kết quả nhiệm vụ nghiên cứu đã hoàn thành theo ID chạy
official