원클릭으로 Manus에서 모든 스킬 실행

radiology-reader

스타706

포크10

업데이트2026년 7월 11일 16:27

Build full-paper Chinese-English side-by-side (中英对照), figure/table-aware, source-grounded Markdown readers for imaging-research papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read an imaging paper, make 中英文对照/原文对照/全文翻译解读, extract figures/tables (including imaging panels and result charts) into the right positions, or keep exact source anchors. Especially attentive to radiology specifics: imaging figures, ROC/forest/KM charts, radiomics/AI methods detail, scanner/protocol tables, and statistical reporting. Must not degrade into a summary-only output unless the user explicitly asks for a summary.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

huang-sir1

huang-sir1/radiology-skills

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

Full-Paper Markdown Reader (imaging-tuned)

Turn an imaging-research paper into a complete, bilingual, source-grounded Markdown reading artifact. The default output is a paragraph-level 中英对照 companion — not a summary.

Non-negotiable defaults

When the user asks to read/translate a paper, or says 中英对照 / 原文对照 / 全文翻译 / paper reader, produce a paragraph-level bilingual reader by default. Do not replace it with a Chinese-only summary, a highlights list, or captions without figure crops.

What to preserve (and why it matters for imaging papers)

Full prose, paragraph structure, and section flow (incl. Materials and Methods detail — scanner/protocol, segmentation, model/feature pipeline, statistical analysis).
Original + faithful Chinese translation at block level; keep technical terms, gene/model names, units, p-values, CIs, and citation markers intact.
Figures and tables placed near their first substantive mention. Crop tightly:
- Imaging panels — keep windowing/arrow annotations visible; note the modality/sequence.
- Result charts (ROC, calibration, forest, Kaplan-Meier, DCA) — keep axes/legend legible.
- Tables (cohort characteristics, scanner parameters, performance) — keep near the interpreting paragraph.
Stable anchors on every block (S### body, C### captions, F### figures, T### tables).

When to open extra files

File	Open when
references/structured-reading-notes.md	The user is reading for literature review, paper comparison, journal club, gap discovery, manuscript writing, or wants craft/figure/limitation patterns rather than translation only

Workflow

Identify source & paper type (DTA / prediction model / radiomics / radiogenomics / review) — this sets how tightly to couple text, figures, and stats.
Build a full source map before translating (page, block type, original, translation, reading order, nearby figure/table, confidence). Process the whole document, not just the abstract.
Translate conservatively — meaning not style; keep Methods/stats detail; mark uncertain OCR rather than guessing; never drop limitations / data-availability / ethics.
Extract & place figures/tables at first substantive mention; tight crops; keep caption
- Chinese caption; add a one-line reading note (what to inspect — e.g. "AUC and CI in panel A; calibration in panel B").
For literature-review or journal-club reading, open structured-reading-notes.md and create Pass 1/2/3 notes at the depth the task deserves.
Generate paper.md (primary) + source_map.json + translation_notes.md + assets/. Add a terminology table for recurring imaging/AI terms.
Answer follow-ups from the source with block IDs + page numbers; don't answer from memory.

Block shapes

<a id="S001"></a>
**Source:** p.1 S001
**Original:** [source paragraph]
**中文:** [faithful translation]

<a id="F001"></a>
### Fig 1. [short translated title]
**Placed near:** p.3 S012  **Source:** p.4 C001
![Fig 1](assets/fig1.png)
**Original caption:** [...]
**中文图注:** [...]
**Reading note:** [what to inspect — e.g. modality/window; which metric/CI]

Output contract

paper.md with **Original:**/**中文:** pairs for all substantive blocks.
Every figure/table in assets/ has a Markdown block + source pointer; every link resolves.
source_map.json parses; translation_notes.md records skipped/uncertain/draft content.
If structured reading was requested: paper note with depth level, claim-evidence table, and craft/positioning notes where relevant.
Don't hide missing content — label draft mode.

Tooling & handoffs

PDF extraction/OCR → load the pdf skill first.
Citation export of the paper's references → radiology-citation.
Want a journal-club deck instead → radiology-paper2ppt.
Quality bar: feels like a paper reader, not a machine-translation dump; reader can move between original ↔ translation ↔ source location ↔ figure/table evidence.

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2026-07-11706

name

radiology-reader

description

Full-Paper Markdown Reader (imaging-tuned)

Turn an imaging-research paper into a complete, bilingual, source-grounded Markdown reading artifact. The default output is a paragraph-level 中英对照 companion — not a summary.

Non-negotiable defaults

What to preserve (and why it matters for imaging papers)

Full prose, paragraph structure, and section flow (incl. Materials and Methods detail — scanner/protocol, segmentation, model/feature pipeline, statistical analysis).
Original + faithful Chinese translation at block level; keep technical terms, gene/model names, units, p-values, CIs, and citation markers intact.
Figures and tables placed near their first substantive mention. Crop tightly:
- Imaging panels — keep windowing/arrow annotations visible; note the modality/sequence.
- Result charts (ROC, calibration, forest, Kaplan-Meier, DCA) — keep axes/legend legible.
- Tables (cohort characteristics, scanner parameters, performance) — keep near the interpreting paragraph.
Stable anchors on every block (S### body, C### captions, F### figures, T### tables).

When to open extra files

File	Open when
references/structured-reading-notes.md	The user is reading for literature review, paper comparison, journal club, gap discovery, manuscript writing, or wants craft/figure/limitation patterns rather than translation only

Workflow

Identify source & paper type (DTA / prediction model / radiomics / radiogenomics / review) — this sets how tightly to couple text, figures, and stats.
Build a full source map before translating (page, block type, original, translation, reading order, nearby figure/table, confidence). Process the whole document, not just the abstract.
Translate conservatively — meaning not style; keep Methods/stats detail; mark uncertain OCR rather than guessing; never drop limitations / data-availability / ethics.
Extract & place figures/tables at first substantive mention; tight crops; keep caption
- Chinese caption; add a one-line reading note (what to inspect — e.g. "AUC and CI in panel A; calibration in panel B").
For literature-review or journal-club reading, open structured-reading-notes.md and create Pass 1/2/3 notes at the depth the task deserves.
Generate paper.md (primary) + source_map.json + translation_notes.md + assets/. Add a terminology table for recurring imaging/AI terms.
Answer follow-ups from the source with block IDs + page numbers; don't answer from memory.

Block shapes

<a id="S001"></a>
**Source:** p.1 S001
**Original:** [source paragraph]
**中文:** [faithful translation]

<a id="F001"></a>
### Fig 1. [short translated title]
**Placed near:** p.3 S012  **Source:** p.4 C001
![Fig 1](assets/fig1.png)
**Original caption:** [...]
**中文图注:** [...]
**Reading note:** [what to inspect — e.g. modality/window; which metric/CI]

Output contract

paper.md with **Original:**/**中文:** pairs for all substantive blocks.
Every figure/table in assets/ has a Markdown block + source pointer; every link resolves.
source_map.json parses; translation_notes.md records skipped/uncertain/draft content.
If structured reading was requested: paper note with depth level, claim-evidence table, and craft/positioning notes where relevant.
Don't hide missing content — label draft mode.

Tooling & handoffs

PDF extraction/OCR → load the pdf skill first.
Citation export of the paper's references → radiology-citation.
Want a journal-club deck instead → radiology-paper2ppt.
Quality bar: feels like a paper reader, not a machine-translation dump; reader can move between original ↔ translation ↔ source location ↔ figure/table evidence.