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Transform legacy codebases into AI-ready projects with Claude Code configurations. Use when (1) analyzing old projects to generate AI coding configurations, (2) creating CLAUDE.md, skills, subagents, …
Cohesive Linear HoTT patterns for interaction entropy with diagram generation. Implements Schreiber's cohesive modalities (♯,♭,ʃ) and Riley's linear modality (♮) for quantum-classical bridging.
libmemory - Memory management for LLM context windows. WindowBuilder constructs token-limited context from conversation history and tools. createWindow factory simplifies window creation. MemoryIndex …
Automates end-to-end job search workflow: searches LinkedIn for AI-related remote jobs, extracts job descriptions, reads base resume, generates ATS-optimized tailored resumes, performs skill gap analy…
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of arc…
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…
AI-powered insurance for renters, homeowners, pet, and life coverage.
libagent - Agent orchestration library for conversational AI. AgentMind class coordinates LLM completions, memory management, tool execution, and multi-turn conversations. AgentAction handles tool cal…
libvector - Vector similarity search. VectorIndex stores embeddings with metadata and performs cosine similarity search. VectorProcessor handles embedding generation and indexing. Supports filtering b…
Hilarious LinkedIn profile roasting skill that delivers savage but friendly comedy burns based on someone's profile, activities, skills, experience, or lack thereof. Use when users ask to roast a Link…
LiveKit omni-modal continuous coaching with stick-breaking color selection,
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…
Playful mutual ingression meets Leonid Levin's algorithmic bounds. Use for: playful exploration with theoretical guarantees, mutual ingression with convergence proofs, emergent solutions within comple…
libllm - LLM API client for OpenAI-compatible endpoints. LlmApi class handles chat completions and embeddings via HTTP. Supports GitHub Models, Azure OpenAI, and standard OpenAI endpoints. Handles str…
KINTSUGI deconvolution: True lightsheet PSF calculation to fix horizontal banding artifacts. Trigger: deconvolution artifacts, horizontal banding, PSF issues, fcyl, slitwidth, lightsheet, LsDeconv.
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of arc…
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.