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MCP server with 39 tools for Word, Excel, PowerPoint, PDF, OCR operations
React best-practices reviewer for TSX files. Triggers after editing multiple TSX components to run a condensed quality checklist covering component structure, hooks usage, accessibility, performance, and TypeScript patterns.
Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.
Guide for experimenting with AI configurations. Helps you test different models, prompts, and parameters to find what works best through systematic experimentation.
Build UIs with @nuxt/ui v4 — 125+ accessible Vue components with Tailwind CSS theming. Use when creating interfaces, customizing themes to match a brand, building forms, or composing layouts like dashboards, docs sites, and chat interfaces.
Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows
A systematic stock analysis framework based on Warren Buffett's value investing philosophy. It provides a complete investment analysis process including economic moat analysis, financial evaluation, management assessment, valuation methods and risk control. Suitable for evaluating specific stocks, screening high-quality targets, analyzing competitive advantages, and building investment portfolios. Activate when users mention keywords such as "Buffett", "value investing", "economic moat", "ROE", "pricing power", "long-term holding", "margin of safety", "circle of competence", "white horse stock", "blue chip stock", or when stock investment analysis is required.
Diagnose weak endings, rushed resolutions, and arbitrary conclusions. Use when stories build well but end disappointingly, when climax feels unearned, or when resolution doesn't complete character arcs.
Systematically analyze existing media to extract transferable elements for new settings. Use when adapting TV, film, or games to fiction, translating tropes across genres, or transforming genre elements for new contexts.
LaTeX academic paper assistant for English papers (IEEE, ACM, Springer, NeurIPS, ICML). Domains: Deep Learning, Time Series, Industrial Control. Triggers (use ANY module independently): - "compile", "编译", "build latex" → Compilation Module - "format check", "chktex", "格式检查" → Format Check Module - "grammar", "语法", "proofread", "润色" → Grammar Analysis Module - "long sentence", "长句", "simplify" → Long Sentence Analysis Module - "academic tone", "学术表达", "improve writing" → Expression Module - "logic", "coherence", "methodology", "argument structure", "论证" → Logical Coherence & Methodological Depth Module - "translate", "翻译", "中译英", "Chinese to English" → Translation Module - "bib", "bibliography", "参考文献" → Bibliography Module - "deai", "去AI化", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "标题", "title optimization", "create title" → Title Optimization Module