按技能名称、说明或 GitHub 作者匹配的结果。
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat ada...
自動化スクリプト（Bash/Python/Node）の設計・実装・運用を支援するスキル。 冪等性、エラーハンドリング、ログ設計、CI/CD統合の指針を整理します。 Anchors: • The Pragmatic Programmer / 適用: 自動化の実務 / 目的: 再...
High-level MindManager mindmap operations via the mindm-mindmap CLI or python -m mindmap.actions. Use when a map must be read (mindmap, selection, grounding info), serialized to Mermaid, or created from Mermaid...
Using PolicyEngine programmatically via Python client or REST API
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScr...
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, Typ...
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby...
Enforces modern Python 3.11+ coding standards, PEP 8 compliance, and type-hinting best practices automatically. This skill should be used when writing, reviewing, or refactoring Python code to ensure consistenc...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Production-grade testing strategies for robust, maintainable systems. Covers unit/integration/E2E testing, contract testing, accessibility, mutation testing, and CI/CD patterns. Supports Python (pytest) and Typ...
Multi-language code quality standards for TypeScript, Python, Go, and Rust. Enforces type safety, security, performance, and maintainability with progressive enforcement. Use when writing, reviewing, or refacto...
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI codebases.
Frappe Python and JavaScript API reference including document operations, database queries, utilities, and REST API patterns. Use when working with frappe.get_doc, frappe.db, frappe.call, or any Frappe API meth...
Frappe server-side Python patterns for controllers, document events, whitelisted APIs, background jobs, and database operations. Use when writing controller logic, creating APIs, handling document events, or pr...
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScr...
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, Typ...
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby...
Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially F...
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill whe...
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
识别项目技术栈、测试框架和环境依赖，为 Compile ExecSpec 提供基础上下文。当需要编译 ExecSpec 前，识别项目类型（Node/Python/Go）、测试框架（Jest/Pytest/RSpec）、环境变量依赖（dotenv/os.getenv）时使用。
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
DisCoPy categorical quantum NLP for string diagrams, monoidal categories, and compositional semantics in Python. Use when implementing compositional distributional semantics, building string diagram computation...
Escapes Python sandbox restrictions. Use when working with restricted Python eval/exec environments, sandbox escapes, filtered input challenges, or Python jail challenges.
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。