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Cited web research report v1.0.0

Use this resource to run an online research and get a sourced comparison report

New

  • 507 downloads
  • 112 likes
  • 234 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cited-web-research-report

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 writes a research plan, hands each subtopic to a subagent and synthesizes the findings with their sources. You get a structured report and a working folder containing the plan.

Mostly picked by

Updated November 2, 2026

Card for the “Cited web research report” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: research plan and working folder setup
  • SKILL.md: delegating subtopics to subagents
  • SKILL.md: findings synthesis, citations and best practices

Good fit for

  • You compare tools or offers and need sources
  • You must verify current information before publishing it

Not for

    Tags

    • research
    • sources
    • report
    • comparison

    About

    You say

    “Run a sourced search on object storage offers for small teams and compare them.”

    Card for the “Cited web research report” skill

    Skill published by langchain-ai under the MIT 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 an online research and get a sourced comparison report
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.3 KB

    Origin and licence

    Listed unmodified

    Author
    langchain-ai
    Source
    github.com/langchain-ai/deepagents/tree/98773a73843421f85a2113e6c3b0262f53d9bcd6/libs/code/examples/skills/web-research
    Licence
    MIT

    Notice

    « web-research » (langchain-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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