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WritingPython

Deep Research

by PangenomeAI

Deep Research is a Writing skill for Claude Code, published by PangenomeAI in academic-skills-food-nutrition.

16 stars1 forkson PangenomeAI/academic-skills-food-nutritionAdded 2026/07/16Repository updated 2026/07/17
academic-writingai-agentsanthropicclaude-codeclaude-skillscodexfoodfood-sciencefood-science-innovationfood-technologyliterature-reviewllmmeta-analysisnutritionnutrition-sciencepeer-reviewresearch-toolsscholarly-publishingscientific-figuressystematic-review
Install in seconds
Install Deep Research
Copy Deep Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/PangenomeAI/academic-skills-food-nutrition/tree/main/food-deep-research ~/.claude/skills/food-deep-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/PangenomeAI/academic-skills-food-nutrition.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
food-deep-research/SKILL.md in PangenomeAI/academic-skills-food-nutrition
Installs to
~/.claude/skills/food-deep-research
Collection
One of 41 skills cataloged from this repository
Category
Writing1361 skills

What Deep Research does

Performs source-validated literature reviews using a 12-subagent pipeline: scope, discover, screen by journal ranking, validate sources, extract evidence, synthesize, stress-test, write, and polish through editorial and integrity review. Use for in-depth academic writing or as a deep-dive engine.

Deep Research is cataloged under Writing on DirSkills. Deep Research comes from a repository tagged academic-writing, ai-agents, anthropic, claude-code and claude-skills.

Documentation

README

Deep-Research — Source-Validated Literature Review Engine

Answer a hard question properly and hand back a written, formatted, integrity- checked literature review — not just notes. Scope → design → discover → screen by journal ranking → validate sources → extract & verify evidence → synthesize → stress-test → write → review-loop → final report. Original work; architecture informed by open community food-deep-research skills (see the repo README Acknowledgements). Usable standalone, or as the deep-dive engine called by food-research.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Deep Research

  • What else does PangenomeAI publish alongside Deep Research?

    Deep Research is one of 41 skills that DirSkills catalogs from PangenomeAI/academic-skills-food-nutrition, the repository it ships in. Its siblings there include AAAS Science Family, Agri Deep Research and Agri Pipeline. Each one is a separate skill with its own page in this directory, installs the same way Deep Research does, and is maintained by PangenomeAI in that same repository. The rest of the collection is listed on the PangenomeAI/academic-skills-food-nutrition page.

  • How does Deep Research compare to other Writing skills?

    Deep Research ranks #1342 by stars among the 1361 Writing skills in this catalog. The most-starred ones next to it are Article Writing, Social Media Content Calendar and Knowledge Comic Creator. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Deep Research against them. Open each page to compare what they document and how they install.

More from PangenomeAI/academic-skills-food-nutrition

Deep Research is one of 41 skills cataloged on DirSkills from PangenomeAI/academic-skills-food-nutrition.

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AAAS Science Family

AAAS Science Family formats or checks manuscripts for Science, Science Advances, and related AAAS journals. Use it for tight word limits, short abstracts, numbered references, figure specs, and other author-guideline checks.
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Agri Deep Research

Performs deep, source-validated literature reviews on agricultural questions using a 12-subagent AI system with rigorous source screening and academic integrity checks.
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161
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2026/07/17

Agri Pipeline

Orchestrates the complete agricultural research-to-publication workflow, from journal selection and research to writing, figures, peer review, and final manuscript. Use when you want end-to-end management of an agricultural paper.
Automation
161
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Agri Ppt

Agri Ppt turns agricultural reports, manuscripts, and evidence briefs into fully editable PowerPoint decks with native text, tables, figures, and speaker notes. It is used when making slides from agronomy, soil science, horticulture, or other agricultural research sources.
Automation
253
📝
2026/07/17

Agri-Paper

Assists in writing, revising, and formatting agricultural science manuscripts using a multi-agent system that handles literature, statistics, figures, and journal-specific reporting standards.
Writing
161
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2026/07/17

Agri-Research

Conducts comprehensive literature and evidence synthesis for agricultural science, acting as a senior agricultural scientist. Use for in-depth research, literature reviews, evidence briefs, or systematic reviews.
AI Engineering
161