Skip to main content

food-deep-research

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.

설치로 이동

소스 정보

저장소
PangenomeAI/academic-skills-food-nutrition
최근 소스 활동
2026년 7월 23일 11:56
감지된 SKILL.md 언어
영어
스타
32
포크
3

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기
14 개 파일

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
food-deep-research
description
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.
metadata
{"version":"2.1.0","verified":"2026-07","related_skills":["food-research","journal-selector","food-paper","food-pipeline"],"subagents":["research_scope","research_architect","investigator","source_screener","source_verifier","bibliography","claim_verifier","synthesizer","critic","compiler","editor","ethics_reviewer"],"references":["references/reasoning-and-fallacies.md"]}
# 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/Science/Cell + other-discipline Q1/Q2; Tier 2 Q3; avoid Tier 4). | | 5 | `source_verifier` | Validate each prioritized source (existence/DOI, venue legitimacy, retraction, predatory, methodology, COI) → Source Quality Matrix. | | 6 | `bibliography` | Deduplicate + format references (APA 7.0 default, or target-journal style via `journal-selector`); build the citation map + `.bib/.ris`. | | 7 | `claim_verifier` | Verify each load-bearing claim against its validated source; classify fact/hypothesis/contested/speculation. | | 8 | `synthesizer` | Evidence matrix, thematic synthesis, conflict reconciliation, evidence grading, coverage advisory, gap agenda, narrative arc. | | 9 | `critic` | Devil's advocate on the **synthesis**; loop back to investigate if gaps. | | 10 | `compiler` | Write & format the **literature-review draft** (APA 7.0 / target journal); cite by key only; no fabrication. | | 11 | `editor` | Editorial review of the draft (5 weighted dimensions, verdict + prioritized feedback). | | 12 | `ethics_reviewer` | Integrity/ethics review of the draft (citation integrity, faithful representation, bias, COI, disclosure). | ## Workflow ```mermaid flowchart TD A[research_scope<br/>scope brief] --> B[research_architect<br/>methodology blueprint] B --> C[investigator Pass 1<br/>discover candidate sources] C --> D[source_screener<br/>journal-ranking tiers] D --> E[source_verifier<br/>validate → Source Quality Matrix] E --> F[bibliography<br/>dedupe + format + citation map] E --> G[investigator Pass 2<br/>extract evidence from validated sources] G --> H[claim_verifier<br/>verify claims vs validated sources] H --> I[synthesizer<br/>matrix, themes, conflicts, grading, gaps] I --> J[critic<br/>stress-test synthesis] J -- gaps --> C J -- sound --> K[compiler<br/>write + format review<br/>APA 7.0 / target journal] F --> K K --> L[editor + ethics_reviewer<br/>editorial + integrity review] L -- minor/major revision --> K L -- accept --> M[Final literature review] ``` **Two loops:** (1) *evidence loop* — `critic` sends gaps back to `investigator` (cap ~2–3); (2) *writing loop* — `editor`/`ethics_reviewer` send revisions back to `compiler` until Accept (cap ~2–3), then deliver. ## First move — set up full-text access (once) The evidence loop reads **actual articles**, not abstracts. At the start, run the **`food-fetch` first-run setup** (`python3 scripts/food_fetch_setup.py status`): if the user hasn't set up access, surface the one-time highlighted request to provide their **EndNote `.Data` folder** (or Zotero/Mendeley / a PDF folder) or **institutional access**, warning that **without non-open-access access the accuracy is substantially limited**; save the choice so it isn't re-asked. If they chose "open-access only", **remind** briefly of that accuracy limit each run. Don't block — proceed at open-access + abstract level and flag paywalled sources. Full rules: `food-fetch/SKILL.md` and `food-research/references/full-text-access.md`. ## Source discipline (non-negotiable) - **Investigation and claim-checking operate only on validated sources** — those that passed `source_screener` (ranking) **and** `source_verifier` (validity). Retracted/unresolvable sources are excluded and logged. - **Journal ranking** favors Tier 1 (Q1/Q2 food-science & nutrition, Nature/Science/Cell families, Q1/Q2 in any other discipline); Tier 2 (Q3) only to fill gaps; Tier 4 avoided. - Every claim carries a source and locator; inference is labelled as inference. ## Formatting — resolve the target journal once At the start, load **`journal-selector/SKILL.md`** (a shared procedure, not an installed skill), which **asks which journal the review targets** (they may answer 'generic' → **APA 7.0**). Ask **once**: record the choice and reuse it in `bibliography` and `compiler` to format the review to that journal's structure, limits, and reference style — don't ask again. Reuse a journal already resolved by `food-research`/`food-pipeline`; re-resolve only if the user asks to switch journals. ## Principles Every claim sourced; fact separated from interpretation; disagreement shown, not averaged; uncertainty surfaced. Upstream evidence beats parametric knowledge — mark missing evidence `[EVIDENCE GAP]`, never fabricate. ## References (load as needed) - `references/reasoning-and-fallacies.md` — `synthesizer`/`critic`: sound argument + fallacies. - `food-research/references/literature-sources.md` — databases/APIs for `investigator`. - `food-research/references/full-text-access.md` — reading the **actual full text** for `investigator`/`source_verifier` (open access → connected tool → user PDFs → library session, legitimate access only); mark anything unread rather than summarizing. - `food-research/references/source-quality-hierarchy.md` — evidence grading for `source_verifier`/`synthesizer`. - `food-research/references/reporting-guidelines.md` — EQUATOR/PRISMA/CONSORT/STROBE. - `food-paper/references/apa7-quickref.md` — APA 7.0 for `bibliography`/`compiler` (default style). - `food-paper/references/writing-style.md` + `food-paper/references/human-writing.md` — **`compiler`: academic style + remove AI tells, applied together** — academic register as a human scientist, machine tells stripped, calibrated hedging and journal form kept. - `food-review/references/ethics-integrity-checklist.md` — for `ethics_reviewer`. - `food-paper/references/faithfulness-and-citation.md` — **grounding + four-gate citation check** for `bibliography`, `source_verifier`, `claim_verifier`, `compiler`. Never invent sources/data; run `scripts/verify_citations.py`. - `food-paper/references/privacy-and-confidentiality.md` — **privacy scan before delivering the report** (no local paths/secrets); `scripts/privacy_scan.py`. ## Handoff Standalone → deliver the final review. Called by `food-research` → return the validated synthesis (or the finished review) to fold into the evidence brief.
GitHub에서 보기