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Found 2,405 Skills
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
Vercel AI SDK (Python) - patterns for building LLM-powered apps with streaming, tools, hooks, and structured output
Expert developer assistant for working with YouTube transcripts via the mr-transcript library. Use this skill for writing Python code, integrating video parsing into projects, and as a reliable alternative to using youtube-transcript-api directly.
[Hyper] Run deploy-readiness validation and fix reproduced lint/typecheck/build blockers for Node.js, Rust, and Python repos. Use for pre-deploy checks, deploy-ready requests, or final quality/build gates before deployment.
FastAPI OpenTelemetry style: native FastAPIInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.
Integracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python.
PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and reference templates/snippets (vector/hybrid/image) plus agent-oriented examples (RAG/memory/text2sql).
Run pip-audit for Python dependency vulnerability scanning. Checks installed packages and requirements files against the OSV and PyPI advisory databases.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
Stateful LLDB debugging via LLDB Python API
Seven Python-based architectural calculators for common design computations: area and density calculations (GFA, NGA, unit count, population, parking), thermal U-value analysis for multi-layer constructions, daylight factor estimation using BRE methodology, egress compliance checking (occupant load, exit width, travel distance), structural gravity load and tributary area calculations, annual energy demand estimation via degree-day method, and construction cost estimation by building type, quality, and region.