rag
Retrieval-Augmented Generation (RAG) for grounding LLM responses with external knowledge. Covers document chunking, embeddings, vector stores (pandas, ChromaDB), similarity search, and conversational RAG pipeli...
Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Retrieval-Augmented Generation (RAG) for grounding LLM responses with external knowledge. Covers document chunking, embeddings, vector stores (pandas, ChromaDB), similarity search, and conversational RAG pipeli...
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
LocalAI local inference API management via Podman Quadlet. Provides an OpenAI-compatible API for local model inference with GPU acceleration. Use when users need to configure, start, or manage the LocalAI servi...
Official ollama Python library for LLM inference. Provides a clean, Pythonic interface for text generation, chat completion, embeddings, model management, and streaming responses.
Aggregate management for all AI pod services. Provides status overview and bulk operations across all pod containers (ollama, jupyter, comfyui, openwebui, localai, fiftyone, jellyfin, runners).
OpenAI compatibility layer for Ollama. Use the official OpenAI Python library to interact with Ollama, enabling easy migration from OpenAI and compatibility with LangChain, LlamaIndex, and other OpenAI-based to...
Ollama LLM inference server management via Podman Quadlet. Single-instance design with GPU acceleration for running local LLMs. Use when users need to configure Ollama, pull models, run inference, or manage the...
ComfyUI node-based Stable Diffusion interface. GPU-accelerated image generation with custom node support and CivitAI model downloads. Use 'ujust comfyui' for configuration, lifecycle management, and model/node...
LangChain framework for LLM applications. Covers model wrappers (HuggingFace, Ollama), prompt templates, few-shot learning, output parsing, and chaining techniques for building sophisticated LLM workflows.
Parameter-efficient fine-tuning with LoRA and Unsloth. Covers LoraConfig, target module selection, QLoRA for 4-bit training, adapter merging, and Unsloth optimizations for 2x faster training.
LLM evaluation and prompt optimization with Evidently.ai. Covers text descriptors, dataset metrics, LLM-as-a-Judge patterns, and automated prompt optimization for classification and generation tasks.
Reward model training for RLHF pipelines. Covers RewardTrainer, preference dataset preparation, sequence classification heads, and reward scaling for stable reinforcement learning. Includes thinking quality sco...
Design Telegram bot keyboards, buttons, and conversational flows with proper UX patterns. Includes inline keyboards, reply keyboards, button callbacks, and progressive disclosure for better mobile UX.
Improve prompts for AI agents and Telegram bots using OpenAI's prompt engineering best practices. Analyzes clarity, specificity, context, and output format. Returns structured improvements.
Expert in designing Telegram bot interfaces with keyboards, buttons, conversational flows, and mobile-first UX patterns.
Create async FastAPI endpoints with proper error handling, dependency injection, service/repository patterns, and type safety. Includes async database queries, pagination, filtering, and Gemini integration.
Builds FastAPI projects from beginner to professional level, including project structure, database integration, authentication, testing, and deployment. Use when creating new FastAPI projects, adding features,...
Generate optimized Ralph Wiggum prompts for Claude Code iterative loops. Use when the user wants to create a Ralph prompt, needs help structuring an iterative task for Claude Code, mentions Ralph Wiggum plugin,...
Configure Claude Code GitHub Actions workflows effectively. Covers automatic mode detection, event routing, subagent coordination, hooks for quality gates, MCP server integration, reusable workflows, performanc...
Dispatch AI agents via Vibe Kanban MCP, monitor agent status, send follow-up messages, read agent outputs, manage worktrees. Use when orchestrating agents, spawning parallel tasks, checking agent status, or any...
Build production-ready FastAPI applications with best practices for project structure, async patterns, Pydantic models, dependency injection, database operations, and testing. Use when developing FastAPI backen...
Automatically triggers when users ask about upgrading, updating, or checking versions of Oh My Opencode or other development tools. Use for version checks, upgrade procedures, maintenance recommendations, and k...
This skill should be used when users want to "create an agent", "add an agent", "write a subagent", "configure agent parameters", or need guidance on agent structure, system prompts, tool permissions, or agent...
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly reque...
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.