Skip to content
TrustedSkillsbeta
Back to all skills

Parallel Deep Research

Checked
parallel-web·vlatest·other·MIT

This skill rapidly explores multiple sources for in-depth information, accelerating research and uncovering diverse perspectives quickly.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add parallel-web/parallel-agent-skills --skill parallel-deep-research -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

parallel-web

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned parallel-web/parallel-agent-skills at 8fc1fc426e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8fc1fc426e
Manifest
skills/parallel-deep-research/SKILL.md
Scanned
1 file, 103 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to conduct extensive, multi-source investigations by launching simultaneous research threads. It allows the agent to gather comprehensive data on complex topics faster than linear search methods by exploring multiple angles in parallel.

When to use it

  • Investigating complex technical problems requiring cross-referencing of documentation and code repositories.
  • Conducting market analysis that demands real-time comparison of diverse news sources and reports.
  • Preparing for high-stakes decisions where verifying facts across numerous independent sources is critical.
  • Generating detailed summaries of evolving events by synthesizing information from concurrent data streams.

Key capabilities

  • Executes multiple search queries simultaneously to save time on large-scale inquiries.
  • Aggregates results from various sources into a unified, coherent response.
  • Manages the complexity of parallel workflows without losing track of individual threads.

Example prompts

  • "Research the latest advancements in quantum computing by analyzing papers from arXiv, tech news sites, and recent conference proceedings simultaneously."
  • "Compare the pros and cons of three different cloud providers for a specific use case by gathering their current pricing, feature sets, and customer reviews in parallel."
  • "Investigate the potential impact of a new regulation on the fintech industry by pulling data from legal databases, financial reports, and expert commentary concurrently."

Tips & gotchas

Ensure your AI agent has access to the necessary search tools or browsing capabilities required to execute the parallel queries. While this method significantly speeds up information gathering, verify that the synthesized output correctly attributes findings to their original sources to maintain accuracy.