nature-figure-prompt-only 是做什麼的？
為論文框架圖、流程圖、機制示意圖生成生圖提示詞，採用 nature-figure 的科學表達與視覺規劃方法，但不執行繪圖。無圖時讀稿生成新圖提示詞，有圖時在保持內容的前提下生成視覺改進提示詞。輸出 Prompt 後必須停止等待確認；不調用 Imagegen、OpenRouter，不生成 Python/R/SVG 代碼，不修改研究方法。適合與其他提示詞 Skill 做同後端對比。
為論文框架圖、流程圖、機制示意圖生成生圖提示詞，採用 nature-figure 的科學表達與視覺規劃方法，但不執行繪圖。無圖時讀稿生成新圖提示詞，有圖時在保持內容的前提下生成視覺改進提示詞。輸出 Prompt 後必須停止等待確認。
此技能專門用於為學術論文中的框架圖、流程圖和機制示意圖生成高品質的生圖提示詞（Prompt）。它採用「nature-figure」風格的科學表達與視覺規劃方法，確保生成的提示詞能精確傳達研究內容與美觀的圖表布局。此技能僅專注於 Prompt 生成，不調用任何繪圖工具（如 Imagegen、OpenRouter）或程式碼生成（Python/R/SVG），也不會修改研究方法。支援兩種模式：當沒有現成圖表時，技能會根據論文稿件內容生成全新的圖表提示詞；當已有圖表時，它會在保留原有內容的基礎上，提出視覺改進建議。最終輸出的 Prompt 必須等待使用者確認後才可進行下一步，適合與其他提示詞技能進行同後端對比測試，以評估不同提示策略的效果。該技能適用於所有支援 AI agent 的開發環境，如 Claude Code、Cursor、Codex 等。
npx skills add https://github.com/szzjayson25-hub/nature-academic-skills/tree/main/nature-figure-prompt-only為論文框架圖、流程圖、機制示意圖生成生圖提示詞，採用 nature-figure 的科學表達與視覺規劃方法，但不執行繪圖。無圖時讀稿生成新圖提示詞，有圖時在保持內容的前提下生成視覺改進提示詞。輸出 Prompt 後必須停止等待確認；不調用 Imagegen、OpenRouter，不生成 Python/R/SVG 代碼，不修改研究方法。適合與其他提示詞 Skill 做同後端對比。
This repo contains 2 individual skills — each has its own dedicated page.
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.
Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA. Use for 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".