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Found 398 Skills
Instructions for using the ModelMix Node.js library to interact with multiple AI LLM providers through a unified interface. Use when integrating AI models (OpenAI, Anthropic, Google, Groq, Perplexity, Grok, etc.), chaining models with fallback, getting structured JSON from LLMs, adding MCP tools, streaming responses, or managing multi-provider AI workflows in Node.js.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
Rust SDK reference for the OpenCode HTTP API and SSE streaming. Use when implementing, debugging, or reviewing code that integrates with opencode-sdk, including client setup, session/message APIs, event streaming, managed server/runtime workflows, feature-flag behavior, and error handling patterns.
pctl CLI (v0.6.3) — PAIC Control, a unified testing CLI for PingOne Advanced Identity Cloud (AIC). Handles connection profiles, JWT token generation/decoding/validation, authentication journey testing, local ELK stack management (Elasticsearch + Kibana log streaming), historical log search, and configuration change tracking. Contains environment shorthands, ELK workflow recipes, and gotchas.
Chat with LLM models using ModelsLab's OpenAI-compatible Chat Completions API. Supports 60+ models including DeepSeek R1, Meta Llama, Google Gemini, Qwen, and Mistral with streaming, function calling, and structured outputs.
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.
Build high-performance APIs with Django-Bolt, including BoltAPI routes, typed request validation, msgspec serialization, auth guards, middleware, OpenAPI docs, pagination, streaming, SSE, WebSockets, and testing. Use when the user asks to create a new bolt endpoint, set up a Django-Bolt project, add JWT or API key auth, configure runbolt, wire guards or middleware, add pagination or streaming, generate OpenAPI docs, write TestClient tests, or migrate from FastAPI, Django REST Framework, or Django Ninja to django-bolt. Do NOT use for general Django views, Django admin customization, or standard Django REST Framework work.
Build or review distributed .NET applications with Orleans grains, silos, persistence, streaming, reminders, placement, transactions, serialization, event sourcing, testing, and cloud-native hosting.
Implement or review SignalR hubs, streaming, reconnection, transport, and real-time delivery patterns in ASP.NET Core applications.
Next.js 15 App Router patterns. Trigger: When working in Next.js App Router (app/), Server Components vs Client Components, Server Actions, Route Handlers, caching/revalidation, and streaming/Suspense.
This skill should be used when users need to download audio or music from online platforms like YouTube, SoundCloud, Spotify, or other streaming services. It provides yt-dlp and spotdl command templates for high-quality audio extraction, playlist downloads, metadata embedding, and multi-platform support.
Rust event-driven system programming best practices for async runtimes, channels, sockets, terminals, and concurrency. This skill should be used when writing, reviewing, or refactoring Rust applications with async I/O, multi-threading, terminal interfaces, or network communication. Triggers on tasks involving tokio, async/await, channels, sockets, TTY handling, signals, and streaming I/O.