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Skills IA lifestyle llm ai

Découvrez les skills lifestyle llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: lifestyle llm ai

3,073–3,096 sur 13,225

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GitHub

llm-game-development

omer-metin

Comprehensive guide to using LLMs throughout the game development lifecycle - from design to implementation to testingUse when "ai game development, llm game dev, claude game, gpt game, ai coding games, vibe co...

GitHub

ai-music-audio

omer-metin

Comprehensive patterns for AI-powered audio generation including text-to-music, voice synthesis, text-to-speech, sound effects, and audio manipulation using MusicGen, Bark, ElevenLabs, and more. Use when "music...

GitHub

game-ai-behavior

omer-metin

Expert in designing and implementing intelligent game AI systems including behavior trees, finite state machines, GOAP, utility AI, pathfinding, steering behaviors, and perception systems. Specializes in creati...

GitHub

conversation-memory

omer-metin

Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memoryUse when "conversation memory, remember, memory persistence, long-term memory, chat history, memory, conve...

GitHub

prompt-to-game

omer-metin

Master the art of "vibe coding" - creating playable games through natural language prompts to AI. Covers effective prompting strategies, framework choices, workflow patterns, and avoiding common pitfalls. From...

GitHub

langgraph

omer-metin

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-i...

GitHub

context-window-management

omer-metin

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rotUse when "context window, token limit, context management, context engineering, long context, cont...

GitHub

content-creation-ai-tools

omer-metin

Master the AI tools that generate unlimited content at scale. From stunning images to professional videos, voiceovers to compelling copy - create content that used to require entire teams. Use when "need images...

GitHub

llm-architect

omer-metin

LLM application architecture expert for RAG, prompting, agents, and production AI systemsUse when "rag system, prompt engineering, llm application, ai agent, structured output, chain of thought, multi-agent, co...

GitHub

agent-memory-systems

omer-metin

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and t...

GitHub

multimodal-ai

omer-metin

Patterns for building multimodal AI applications that combine text, images, audio, and video. Covers vision APIs, audio transcription, and unified pipelines. Use when "multimodal AI, vision API, image understan...

GitHub

mcp-server-development

omer-metin

Building production-ready Model Context Protocol servers that expose tools, resources, and prompts to AI assistantsUse when "mcp server, model context protocol, mcp tool, mcp resource, claude integration, ai to...

GitHub

on-device-ai

omer-metin

Patterns for running AI models locally in browsers using WebGPU, Transformers.js, WebLLM, and ONNX Runtime. Zero API costs, full privacy. Use when "on-device AI, browser AI, WebLLM, Transformers.js, WebGPU, edg...

GitHub

unity-llm-integration

omer-metin

Integrating local and cloud LLMs into Unity games for AI NPCs, dialogue, and intelligent behaviorsUse when "unity llm, llmunity, unity ai npc, unity local llm, unity sentis llm, unity chatgpt, unity gpt, c# llm...

GitHub

ai-personalization

omer-metin

Building AI-powered personalization systems: recommendation engines, collaborative filtering, content-based filtering, user preference learning, cold-start solutions, and LLM-enhanced personalized experiences....

GitHub

create-plan

richardgill

Creates summary for human review - and comprehensive implementation plan for LLM, complete code examples, and verification steps

GitHub

brainstorm

richardgill

This skill refines rough ideas into fully-formed designs through collaborative questioning and exploration. Triggers: "help me brainstorm", "let's think through", "explore options", "what are some approaches",...

GitHub

oracle

richardgill

Consults GPT-5.2 with high reasoning for deep analysis. Triggers: "ask the oracle", "consult oracle", "get a second opinion", "ask GPT", "check with GPT", "what would GPT think", "cross-check my reasoning", "ex...

GitHub

ai-interaction

KhaiHuynhVN

Continuous communication channel via MCP AI Interaction tool. Activate with 'khởi động ai_interaction'. Enables real-time Vietnamese conversation with action-first principle - execute first, explain minimally.

GitHub

skill-builder

daichan132

Create or update Codex Skills (SKILL.md). Use when asked to make/update a skill, add SKILL.md, skill template, or mentions Codex skills / Agent Skills / スキル作成.

GitHub

vibe-coding

jamditis

Methodology for effective AI-assisted software development. Use when helping users build software with AI coding assistants, debugging AI-generated code, planning features for AI implementation, managing versio...

GitHub

digital-archive

jamditis

Digital archiving workflows with AI enrichment, entity extraction, and knowledge graph construction. Use when building content archives, implementing AI-powered categorization, extracting entities and relations...

GitHub

copilot-asset-design

klintravis

Design and validate GitHub Copilot customization assets including agents, skills, instructions, and prompts. Provides architecture patterns, quality criteria, and integration strategies. Use when creating or im...

GitHub

deep-research

liangdabiao

Conduct deep research on any topic using parallel subagents and web tools (web_search, web_fetch, playwright). Use for queries that require comprehensive research from multiple perspectives.

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.

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