food-deep-research

Solid

General-purpose deep research that produces a fully written, source-validated literature review on any question: scope it, design the method, discover and screen sources by journal ranking, validate every source, extract and verify evidence, synthesize, stress-test, then write and format the review (APA 7.0 by default, or a target journal's style) and polish it through an editorial + integrity review loop. Use standalone for a deep dive or literature review, or as the deep-dive engine called by food-research. Runs a 12-subagent team with iterate-to-saturation and compile↔review loops. Triggers: deep research, research this in depth, write a literature review, investigate thoroughly, comprehensive review, state of the evidence, briefing on, dig into, deep dive.

Code & Development 19 stars 2 forks Updated 4 days ago MIT

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Quality Score: 84/100

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80
License 10%
100
Description 5%
100

Skill Content

# 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`. ## Modes - **quick brief** — scope → discover → screen (Tier 1) → light synthesis → short sourced answer. Skips the full validation/compile/review loop. - **full** — the default: the complete 12-subagent pipeline below with the iterate-to-saturation and compile↔review loops, ending in a finished review. ## Subagent team (dispatch via the Agent tool) | # | Subagent | Job | |---|---|---| | 1 | `research_scope` | Comprehensive scope brief: background, problem, significance, central + sub-questions, concepts, boundaries, success criteria. | | 2 | `research_architect` | Methodology blueprint: review type, search strategy, inclusion criteria, analytical framework, reporting standard, stopping criteria. | | 3 | `investigator` | Pass 1 discover candidate sources; Pass 2 extract evidence **from validated sources only** (parallel per sub-question). | | 4 | `source_screener` | Prioritize candidates by **journal ranking** (Tier 1 Q1/Q2 + Nature/Sci...

Details

Author
PangenomeAI
Repository
PangenomeAI/academic-skills-food-nutrition
Created
2 weeks ago
Last Updated
4 days ago
Language
Python
License
MIT

Integrates with

Anthropic · AI

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2 Updated today
jasonm4130