अपने एजेंट के लिए सही क्षमता खोजें।
This skill should be used when the user wants to parallelize Python tasks with Jug, write a jugfile, run jug execute/status/invalidate/cleanup/shell, understand task dependencies, use barriers or bvalue, apply mapreduce patterns, debug failed tasks, invalidate stale results, or choose a jugdir backend (filesystem, Redis, dict_store, file_keepalive).
iFlytek Voice Clone tts(声音复刻) — train a custom voice model from audio samples and synthesize speech with the cloned voice. Supports the full workflow: get training text → create task → upload audio → submit training → poll results → synthesize with cloned voice. Pure Python stdlib, no pip dependencies.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Property-based testing (PBT) patterns with fast-check (JS/TS), Hypothesis (Python), and gopter (Go). Generate random inputs, define invariants, shrink failures to minimal cases. Adapted from Trail of Bits. Use when testing pure functions, parsers, serializers, state machines, or any code where example-based tests miss edge cases.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Structured pipeline for statistical analysis deliverables — SPSS, R, Python. Covers reliability, chi-square, correlation, regression, assumption checking, and client-ready reporting.
Provides sandbox tools for safely running code, scripts, and shell commands in an isolated K8E environment — never on the host. Use this skill for ANY code execution request. This means: running Python/bash/Node.js code, data analysis, CSV/Excel processing, file manipulation, package installation, or any terminal operation. CRITICAL: Always trigger this skill when the user wants something actually executed or run — not just written or explained. Trigger for English requests like "run this", "execute", "test it", "check if this works", "install X and use it". Trigger equally for Chinese requests: "帮我跑一下", "运行这个", "试试这个", "执行一下", "跑一下", "测试这段代码", "帮我分析这个CSV", "帮我跑这段代码", "跑一下看看", "帮我试试", "能不能跑", "看看输出", "帮我算一下", "帮我处理这个文件", "安装并使用". When a user pastes code and wants results, use this skill. When in doubt, use the sandbox — it's always safer than running on the host.
Implement Python code. Invoke for Python-language implementation tasks.
Implement Python code. Invoke for Python-language implementation tasks.
Research Python development tasks. Invoke for Python-language research.
Research Python development tasks. Invoke for Python-language research.
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
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 operations.
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
