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Deep-research each item in a research outline v1.0.0
Use this resource to deep-research each item of a research outline in parallel
New
- 597 downloads
- 170 likes
- 226 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install parallel-item-deep-researchWith 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 reads outline.yaml and fields.yaml, spots items already processed, then splits the rest into batches handled by background agents. Each agent fills one JSON file per item against the field schema, with output validation.
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: locating, resuming and running batches
- SKILL.md: field definitions and validation rules
Good fit for
- You compare about twenty products or articles on the same schema
- A case study must be filled in item by item
Not for
Tags
- research
- agents
- parallel
- json
- schema
About
You say
“Run the deep research on the outline items in batches.”
Skill published by julianobarbosa 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 deep-research each item of a research outline in parallel
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md6.9 KB
Origin and licence
Listed unmodified
- Author
- julianobarbosa
- Source
- github.com/julianobarbosa/claude-code-skills/tree/c8aec74590186f68a8a333248328cf76737785e4/skills/research-deep
- Licence
- MIT
Notice
« research-deep » (julianobarbosa, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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