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Run deep research on each planned item v1.0.0
Use this resource to run deep web research for each item of a research outline, in batches
New
- 575 downloads
- 112 likes
- 157 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install parallel-deep-research-itemsWith 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 loginThe agent finds the project's outline.yaml file, reads the item list and batch settings, then launches web research agents in parallel, one per group of items. It skips results already written and asks for your approval before each new batch. Answers are saved in JSON.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md : reading the outline, resuming and batch execution
- SKILL.md : sub-agent parameters and field definitions
Good fit for
- You have fifty companies to document
- An interrupted search must resume without repeating work
Not for
Tags
- research
- batches
- agents
- outline
- json
About
You say
“Run the deep research from the outline on payment providers, in batches of ten.”
Skill published by weizhena under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to run deep web research for each item of a research outline, in batches
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md3.4 KB
Origin and licence
Listed unmodified
- Author
- weizhena
- Source
- github.com/weizhena/deep-research-skills/tree/6ce38f60e3f8b22502c29873f96503a4e0c5addb/skills/research-en/research-deep
- Licence
- MIT
Notice
« research-deep » (weizhena, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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