Find the perfect capability for your agent.
Provides comprehensive guidance for Django framework including models, views, templates, forms, admin, REST framework, and deployment. Use when the user asks about Django, needs to create web applications, implement models and views, or build Django REST APIs.
Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.
Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Generate copy-pastable ASCII banners with a built-in font (no external font deps), including compact fallback and optional ANSI 256 coloring for the logo. Use when the user needs a simple ASCII banner, startup logo, or CLI welcome screen without external dependencies.
Entry point for ASCII CLI banners that routes to the Python built-in font skill or figlet.js/FIGfont skill. Use when the user wants a startup banner, ASCII logo, terminal welcome screen, or CLI branding for a service.
End-to-end beautiful Beamer deck creation. Designs an original Beamer theme tailored to a specific audience, restructures existing content via the Rhetoric of Decks (ethos / pathos / logos), generates figures and tables from R/Python/Stata code first, embeds code blocks in the deck, produces standalone walkthrough scripts, compiles to zero warnings, runs /tikz for visual collision cleanup, and dispatches a graphics-only audit agent for label and coordinate checks. Use when creating a presentation from scratch or restructuring existing content into a new beautiful deck.
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Covers: (1) Creating new _brand.yml files from brand guidelines, (2) Applying brand.yml to Shiny for R apps with bslib, (3) Applying brand.yml to Shiny for Python apps with ui.Theme, (4) Using brand.yml in Quarto documents, presentations, dashboards, and PDFs, (5) Modifying existing brand.yml files, (6) Troubleshooting brand integration issues. Includes complete specifications and framework-specific integration guides.
Create professional package release blog posts following Tidyverse or Shiny blog conventions. Use when the user needs to: (1) Write a release announcement blog post for an R or Python package for tidyverse.org or shiny.posit.co, (2) Transform NEWS/changelog content into blog format, (3) Generate acknowledgments sections with contributor lists, (4) Format posts following specific blog platform requirements. Supports both Tidyverse (hugodown) and Shiny (Quarto) blog formats with automated contributor fetching and comprehensive style guidance.
Analyze lakehouse data interactively using Fabric Livy sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-based analysis — NOT for simple SQL queries. Triggers: "PySpark", "Spark SQL", "analyze with PySpark", "Spark DataFrame", "Livy session", "lakehouse with Python", "PySpark analysis", "PySpark data quality", "Delta time-travel with Spark".
Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust
Use when integrating crates or ecosystem questions. Keywords: E0425, E0433, E0603, crate, cargo, dependency, feature flag, workspace, which crate to use, using external C libraries, creating Python extensions, PyO3, wasm, WebAssembly, bindgen, cbindgen, napi-rs, cannot find, private, crate recommendation, best crate for, Cargo.toml, features, crate 推荐, 依赖管理, 特性标志, 工作空间, Python 绑定
Python package creation and distribution: pyproject.toml, entry points, PyPI publishing, CI/CD
Async Python patterns and concurrency: async APIs, I/O-bound apps, rate limiting, context managers
Provides comprehensive code review guidance for React 19, Vue 3, Rust, TypeScript, Java, Python, and C/C++. Helps catch bugs, improve code quality, and give constructive feedback. Use when: reviewing pull requests, conducting PR reviews, code review, reviewing code changes, establishing review standards, mentoring developers, architecture reviews, security audits, checking code quality, finding bugs, giving feedback on code.
AI Kernel 算子生成与优化工作流程。当用户需要生成、验证或优化 kernel 算子时使用此 Skill。支持 Triton、CUDA C、C++、TileLang等多种后端 DSL。
