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Parallel web research with local memory v1.0.0

Use this resource to run deep Parallel web research while keeping spend under control

New

  • 444 downloads
  • 112 likes
  • 148 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install parallel-web-research-cli

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent runs web and deep research with Parallel, checks the balance before each spend and keeps results in a local memory. It can also run a company search based on criteria.

Mostly picked by

Updated November 2, 2026

Card for the “Parallel web research with local memory” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : web search, deep research and balance commands
  • SKILL.md : spend control rules and research pipeline recipes

Good fit for

  • You want deep research without uncontrolled spending
  • You need a list of companies matching precise criteria

Not for

    Tags

    • web research
    • parallel
    • spend control
    • companies

    About

    You say

    “Run a deep research on this market, and check my remaining balance first.”

    Card for the “Parallel web research with local memory” skill

    Skill published by Som Samantray under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run deep Parallel web research while keeping spend under control
    3. Review and adjust the result

    Content preview

    Files

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    Origin and licence

    Listed unmodified

    Author
    Som Samantray
    Source
    github.com/mvanhorn/printing-press-library/tree/b7f184dc0b34ea3e16e85407ba028d828f59e085/library/ai/parallel
    Licence
    Apache-2.0

    Notice

    « pp-parallel » (Som Samantray, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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