Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Maintain and enrich weapp-vite website docs from packages source of truth. Use when updating `website/` content based on `packages/*` code or README, adding package docs pages, syncing VitePress nav/sidebar, or validating package-to-doc coverage after package changes.
将对话中的源码阅读与分析整理为规范化 Markdown，归档到项目 codebase-wiki/（architecture/discussion/issue/reference/roadmap）、维护 INDEX 与 references 图；支持 VitePress、Mintlify、Starlight、Fumadocs 等文档站点。适用于「保存到 wiki / 归档到 codebase-wiki / 生成学习笔记」等意图。
Write an architecture document from goals and requirements
Create academic presentation slide decks and optionally demo videos from research papers. Use when the user asks to "make slides", "create a deck", "make a presentation", "demo video", "paper slides", "conference talk slides", or wants to turn a paper into a visual presentation. Covers slide generation, narration scripts, TTS audio, and video assembly.
Use when a manuscript is close to submission or resubmission and you need a preflight audit for claim support, figure-panel coverage, legend sync, methods references, terminology stability, and venue-facing risks.
Use when checking manuscript citations, bibliography hygiene, DOI or PMID completeness, placeholder references, or BibTeX consistency before submission or revision.
Analyze a repository and generate comprehensive architecture and workflow documentation.
Submission-grade Nature/high-impact journal figure workflow for Python or R, plus optional OpenRouter GPT Image 2 manuscript schematic generation when the user explicitly asks for AI-generated graphical abstracts, concept schematics, mechanism diagrams, or paper schematic illustrations. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, journal-ready SVG/PDF/TIFF outputs, or OpenRouter/API-generated schematic drafts, especially for Nature-family or other high-impact journals. Before plotting or image generation, define the figure's conclusion, evidence logic, export needs, and review risks. For plotting tasks, honor an explicit Python/R choice, otherwise reuse the saved nature-figure backend preference; if no preference exists, ask once whether the user prefers Python or R and save that answer for future calls. For explicit OpenRouter/GPT Image 2 schematic generation, do not ask Python or R; use the AI-schematic route. Supports matplotlib/seaborn, ggplot2/patchwork/ComplexHeatmap, and OpenRouter Images API drafts. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, AI-generated paper schematics, and Chinese phrasings like 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、论文示意图、机制示意图、图形摘要.
Cross-format accessibility rule reference with WCAG 2.2 mapping for Word, Excel, PowerPoint, and PDF documents.