drawnote-skill
智能笔记与流程图绘制工具(优化版-无权限读取)。根据用户提供的内容,自动生成精美的可视化笔记和流程图,支持多种风格(手写笔记、思维导图、流程图等),并导出为图片。使用内置模板,无需读取文件权限。适用于:(1) 学习笔记可视化,(2) 知识梳理与总结,(3) 流程图绘制,(4) 概念解释图表
智能笔记与流程图绘制工具(优化版-无权限读取)。根据用户提供的内容,自动生成精美的可视化笔记和流程图,支持多种风格(手写笔记、思维导图、流程图等),并导出为图片。使用内置模板,无需读取文件权限。适用于:(1) 学习笔记可视化,(2) 知识梳理与总结,(3) 流程图绘制,(4) 概念解释图表
Fetch trending programming models from OpenRouter rankings. Use when selecting models for multi-model review, updating model recommendations, or researching current AI coding trends. Provides model IDs, context windows, pricing, and usage statistics from the most recent week.
Cold email campaign KPIs, benchmarks, and diagnostic patterns
Email sequence design and optimization best practices
On-page SEO optimization techniques including keyword density, meta tags, heading structure, and readability. Use when optimizing existing content or validating new content against SEO requirements.
Audio/video transcription using OpenAI Whisper. Covers installation, model selection, transcript formats (SRT, VTT, JSON), timing synchronization, and speaker diarization. Use when transcribing media or generating subtitles.
FFmpeg fundamentals for video/audio manipulation. Covers common operations (trim, concat, convert, extract), codec selection, filter chains, and performance optimization. Use when planning or executing video processing tasks.
TailwindCSS v4 patterns with CSS-first configuration using @theme, @source, and modern CSS features. Covers design tokens, CSS variables, container queries, dark mode, and Vite integration. Use when configuring Tailwind, defining design tokens, or leveraging modern CSS with Tailwind utilities.
Predefined design system references for UI reviews. Includes Material Design 3, Apple Human Interface Guidelines, Tailwind UI, Ant Design, and Shadcn/ui. Use when conducting design reviews against established design systems.
Email deliverability best practices and troubleshooting
智能桌面和目录整理工具。根据用户提示词自动分类、整理文件和应用程序图标,去除重复版本,生成整理报告。支持整理桌面或指定目录。
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
Instructions for updating the README.md file in the `dart_mcp_server` package.
Complexity-based task routing for optimal model selection and cost efficiency. Use when deciding which model tier to use, analyzing task complexity, optimizing API costs, or implementing tiered routing. Trigger keywords - "routing", "complexity", "model selection", "tier", "cost optimization", "haiku", "sonnet", "opus", "task analysis".
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
Collaborative ideation and planning with resilient multi-model exploration, consensus scoring, and adaptive confidence-based validation
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".
Reference guide for using external AI models via claudish CLI. Use when running multi-model reviews, understanding how /team invokes external models, or debugging external model integration issues. Includes routing prefixes for MiniMax, Kimi, GLM direct APIs.
Instructions for updating the supported Model Context Protocol (MCP) specification version in the `dart_mcp` package.