GitHub
ai-data-analyst
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: devops llm ai
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GitHub
google-adk-python
Use when building AI agents with Google's Agent Development Kit (ADK) Python - multi-agent systems, workflow agents, tool integration, Vertex AI deployment, or agent evaluation.
GitHub
careercopilot-agent-scaffolder
Scaffolds a new Python agent for autonomous AI tasks in 'src/agents/'. Agents are autonomous components that handle complex operations (resume analysis, job matching, KSC generation). Use when asked to create a...
GitHub
fastapi-zero-to-hero
Complete FastAPI API development framework for Python. Provides comprehensive assistance for building APIs with routing, authentication (JWT, OAuth2, Better Auth), Pydantic models, database integration, and dep...
GitHub
ai-data-analyst
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
GitHub
airalogy-protocol
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
GitHub
neuro-symbolic
Neuro-symbolic architecture patterns. Use when building the bridge between LLM (Neural) and Python rules (Symbolic).
GitHub
mcp-builder
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...
GitHub
mcp-builder
指南：创建高质量的 MCP（模型上下文协议）服务器，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是 Python（FastMCP）还是 Node/TypeScript（MCP SDK）。
GitHub
gemini-image-generator
Generate, edit, or transform images with Gemini Nano Banana using bundled Python scripts (Flash or Pro) including aspect ratio, resolution, image-to-image edits, logo overlays, and reference images. Use when us...
GitHub
langgraph
LangGraph Python framework for building stateful, multi-actor LLM applications. Use for agent workflows, persistence, durable execution, streaming, interrupts, time travel, memory, subgraphs, and production dep...
GitHub
langchain
LangChain Python framework for building LLM applications. Use for chains, agents, memory, document loaders, text splitters, vector stores, retrievers, and LLM integrations like OpenAI, Anthropic, and Google.
GitHub
infranodus-reasoning
State-aware cognitive reasoning engine combining pattern detection, critical questioning, ontology validation, and gap analysis through InfraNodus integration. Uses programmatic Python modules for algorithmic p...
GitHub
export-conversation
Export the current Claude Code conversation to an Excel (.xlsx) file with columns for Prompt, Summary, and Output. Use when user asks to export, save, or document the conversation. Requires Python with openpyxl...
GitHub
exa-tools
Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming context for any library or fra...
GitHub
strands-spec
Expert guidance for creating strands-cli workflow specifications (YAML/JSON). Use when creating, modifying, or troubleshooting strands-cli specs for: (1) Multi-step agent workflows (chain, routing, parallel, gr...
GitHub
telegram-bot-performance-engineer
This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a...
GitHub
backend-technologies
Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
GitHub
data-ai-skills
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
GitHub
data-ai-guide
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
GitHub
python-function-caching
Provide a reusable pattern for memoizing deterministic function calls to reduce latency and repeated computation. Backed by the `python` diskcache package. Use skill when updating or editing everything.
GitHub
buzzllm-gateway
Use buzzllm CLI to perform web searches, execute Python code in Docker, search/analyze local codebases, or generate code change blocks. Trigger when user asks for web search, Python execution, code analysis, or...
GitHub
testing-claude-plugins-with-python-sdk
Use when testing Claude Code plugins programmatically, building SDK applications, encountering plugin loading failures (plugins array empty), getting AttributeError on message.type, or needing verified Claude A...
GitHub
mcp-builder
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...
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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.