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Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an env...
Validate datasets for Unsloth fine-tuning. Use when the user wants to check a dataset, analyze tokens, calculate Chinchilla optimality, or prepare data for training.
Comprehensive toolkit for interacting with Hugging Face Spaces. Use this skill when working with Hugging Face Spaces - listing spaces, retrieving space information, managing space runtime (restart/pause), check...
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch....
Design and implement RESTful API endpoints following REST principles with consistent naming conventions, proper HTTP methods, versioning strategies, and appropriate status codes. Use this skill when creating ne...
Modern Python 3.12+ development with uv, ruff, pydantic, FastAPI, async patterns, and production-ready practices.
Generates nginx-sites-available-default configuration file for serving the Vue application on Debian/Ubuntu-based nginx installations.
Configure Nginx web server for high-performance reverse proxy, load balancing, SSL/TLS, caching, and API gateway functionality.
**IMPORTANT**: Any change to React or Next.js code must read through this skill first. React and Next.js guidelines from Vercel Engineering covering visual instability, layout shifts, CLS, flickering, hydration...
Sanitizing and validating user input to prevent XSS, injection attacks, and security vulnerabilities in TypeScript applications
Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identi...
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking oper...
Production-grade shell tools - jq, xargs, parallel, pipelines
DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions...
Run targeted linting, formatting, and code quality checks on modified files. Use this to validate code style, type safety, security, and other quality metrics before committing. Supports running all checks or t...
Find all CPython internal headers and structs used in the codebase, particularly for profiling functionality. Use this when adding support for a new Python version to identify what CPython internals we depend o...
Create or update release notes for changes in the current branch using Reno, following dd-trace-py's conventions and the guidelines in docs/releasenotes.rst.
Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.
Guides creation of kcli plan files for deploying VMs, networks, and infrastructure. Use when writing YAML plans with Jinja2 templating or debugging plan execution issues.
Guides testing and code quality for kcli. Use when writing tests, running linting, or validating changes before committing.
Guides VM lifecycle operations with kcli. Use when creating, managing, or troubleshooting virtual machines across providers.
Guides implementation of new virtualization providers for kcli. Use when adding support for a new cloud platform, hypervisor, or infrastructure provider.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。