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Guide for building production-ready LiveKit voice AI agents with multi-agent workflows and intelligent handoffs. Use when creating real-time voice agents that need to transfer control between speciali…
DeFi fundamentals and cross-chain analytics using DefiLlama-style data. Use when you want to find undervalued protocols, screen by TVL/revenue growth vs token price, compare sectors, or run data-drive…
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token management, retry logic, and error handling.
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
Look up the time zone of a given city and return the local time.
Use Playwright to open a LiveLib quote page and add it to your own quotes/list via the website UI.
Build LLM applications with LlamaIndex. Create indexes, query engines, and data connectors. Use for RAG applications, document search, and knowledge base systems.
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, vi…
This skill should be used when building production LLM applications in any language. It applies when implementing predictable AI features, creating structured interfaces for LLM operations, configurin…
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a specific task, understand model capabilities, get pricing information, o…
Local Compositionality Gadget
When the user provides location names, addresses, or landmarks that need to be converted to precise geographic coordinates. This skill uses mapping APIs to geocode locations, returning latitude/longit…
Guide for creating effective prompts and instructions for LiveKit voice agents. Use when building conversational AI agents with the LiveKit Agents framework, including (1) Creating new voice agent pro…
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, vi…
This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing any LLM provider (OpenAI, Anthropic, Google, xAI), building agent loo…
External LLM invocation. Triggered ONLY by @council,@probe,@crossref,@gpt,@gemini,@grok,@qwen.
Guide for using LLM utilities in speedy_utils, including memoized OpenAI clients and chat format transformations.
Design, operation, evaluation, and optimization of LLM applications. Includes prompt management, RAG construction, fine-tuning, evaluation pipeline, cost optimization, and production operation. To be …
local-finetune
Summarize noisy logs into likely causes and next steps. Use when a junior developer needs help interpreting logs.