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Skills 列表
data-analysis
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
claude-office-skillsstock-analysis
Analyze stocks with fundamental and technical analysis. Supports US, China A-shares, and Hong Kong markets. Generate investment reports with key metrics.
claude-office-skillsoffice-mcp
MCP server with 39 tools for Word, Excel, PowerPoint, PDF, OCR operations
claude-office-skillstiktok-marketing
TikTok content strategy, video creation workflows, posting optimization, and analytics. Based on n8n automation templates.
claude-office-skills
wechat-article-writer
公众号文章自动化写作流程。支持资料搜索、文章撰写、爆款标题生成、排版优化。当用户提到写公众号、微信文章、自媒体写作、爆款文章、内容创作时使用此 skill。
iamzhihuix
code-review-analysis
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
aj-geddes
amazon-product-research
Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.
nexscope-ai
pixijs-html-source
Use this skill when rendering live HTML/DOM elements (or frozen snapshots of them) as PixiJS v8 textures via the EXPERIMENTAL HTML-in-Canvas browser APIs. Covers the pixi.js/html-source side-effect import, feature-detection with canvas.requestPaint, HTMLSource for a live, repainting element kept interactive in the browser (autoLayout/autoUpdate/autoRequestPaint, requestPaint, isReady, the direct-child-of-canvas + layoutsubtree requirement), ElementImageSource for an immutable captureElementImage() snapshot (autoClose, ready immediately), using the source on a Sprite/Texture/Mesh, fallback-only auto-detection via Texture.from at priority -10, and destroy/cleanup. Triggers on: HTMLSource, ElementImageSource, pixi.js/html-source, requestPaint, captureElementImage, ElementImage, layoutsubtree, autoRequestPaint, autoUpdate, autoClose, HTML in canvas, render DOM to texture, HTMLSourceOptions, ElementImageSourceOptions, HTMLSourceCanvas, experimental.
pixijsnodejs-express-server
Build production-ready Express.js servers with middleware, authentication, routing, and database integration. Use when creating REST APIs, managing requests/responses, implementing middleware chains, and handling server logic.
aj-geddes
excalidraw-skill
Programmatic canvas toolkit for creating, editing, and refining Excalidraw diagrams via MCP tools with real-time canvas sync. Use when an agent needs to (1) draw or lay out diagrams on a live canvas, (2) iteratively refine diagrams using describe_scene and get_canvas_screenshot to see its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalidraw, or (6) perform element-level CRUD, alignment, distribution, grouping, duplication, and locking. Requires a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).
lingzhi227smart-ocr
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claude-office-skillscode-debugging
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues. Use when experiment code fails or produces incorrect results.
lingzhi227algorithm-design
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper.
lingzhi227rebuttal-writing
Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback.
lingzhi227backward-traceability
Make every number in the final PDF traceable to the exact code line that produced it. Uses \hypertarget/\hyperlink LaTeX commands and \num{formula} evaluated at compile time. Use for reproducibility and data integrity verification.
lingzhi227related-work-writing
Write Related Work sections that compare and contrast prior work with your approach. Organize by theme, cite broadly, and explain how your work differs. Use when writing or improving the Related Work section of a paper.
lingzhi227table-generation
Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts, and proper captions. Use when creating result tables, comparison tables, or ablation tables for papers.
lingzhi227self-review
Automatically review an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback. Use when the user wants to review a paper before submission or get feedback on a draft.
lingzhi227slide-generation
Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.
lingzhi227atomic-decomposition
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
lingzhi227paper-compilation
Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.
lingzhi227paper-assembly
Orchestrate the full paper pipeline end-to-end. Manage state propagation between phases (literature → plan → code → experiments → figures → tables → writing → review), support checkpointing and resumption. Use for assembling a complete paper from components.
lingzhi227experiment-code
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
lingzhi227paper-to-code
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.
lingzhi227