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LLM & AI

Large Language Models and AI agents.

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llm-ai

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memory-design-patterns

Best practices for memory architecture design including user vs agent vs session memory patterns, vector vs graph memory tradeoffs, retention strategies, and performance optimization. Use when designing memory systems, architecting AI memory layers, choosing memory types, planning retention strategies, or when user mentions memory architecture, user memory, agent memory, session memory, memory patterns, vector storage, graph memory, or Mem0 architecture.

vanman2024

data-ai

llm-ai

0

transcription

音声ファイルをWhisper APIで文字起こしする。音声処理、transcription、文字起こし、Whisperに関する作業時に使用。

tmhr1850

data-ai

llm-ai

0

using-openai-platform

OpenAI SDK development with GPT-5 family, Chat Completions, Responses API, embeddings, and tool calling. Use for AI-powered applications, chatbots, agents, and semantic search.

FortiumPartners

data-ai

llm-ai

0

zhipu-search

根据用户给出的搜索关键语句，调用zhipu的搜索引擎得到搜索结果。

flyingtimes

data-ai

llm-ai

0

llm

Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".

SecKatie

data-ai

llm-ai

0

langgraph-builder

Use when creating a new LangGraph graph. Start with a minimal graph and iterate.

rozwer

data-ai

llm-ai

0

creating-agent-skills

ドメイン固有の知識を持つ再利用可能なagent skillsを作成します。プログレッシブディスクロージャとXML構造を使用し、効果的なスキルプロンプトを生成します。新しいスキルの作成、既存スキルのリファクタリング、スキル構造のベストプラクティス適用が必要な場合に使用してください。

sekka

data-ai

llm-ai

0

ai-orchestration

LLM keyring management, multi-provider support, and AI agent orchestration

layeddie

data-ai

llm-ai

0

ui

Opinionated constraints for building better interfaces with agents.

andybons

data-ai

llm-ai

0

agent-organizer

Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.

404kidwiz

data-ai

llm-ai

0

simple-example

A simple example Skill demonstrating basic functionality

JiangDing1990

data-ai

llm-ai

0

context-fundamentals

Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.

bilalmk

data-ai

llm-ai

0

audit-trails-for-agents

Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging

AmnadTaowsoam

data-ai

llm-ai

0

extraction-design

Systematic AI extraction prompt design expert with Socratic methodology

darantrute

data-ai

llm-ai

0

canifi-skill-generator

Self-evolving skill that enables Canifi to create, install, and manage new skills autonomously

Andrejones92

data-ai

llm-ai

0

digest

Extract insights from transcripts into actionable artifact files.

thekevinscott

data-ai

llm-ai

0

videocut

环境准备。安装依赖、下载模型。触发词：安装、环境准备、初始化

0xFANGO

data-ai

llm-ai

0

langgraph-multi-agent

Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing supervisor or swarm patterns, creating hierarchical agent workflows, or designing agent handoff mechanisms. Covers langgraph-supervisor, langgraph-swarm, agent-as-tool patterns, and context engineering for multi-agent systems.

rozwer

data-ai

llm-ai

0

google-chat

Enables Claude to send messages, manage spaces, and handle Google Chat communications

Andrejones92

data-ai

llm-ai

0

hello-world

A simple example skill that demonstrates Claude Code skill structure

Peterbuelund

data-ai

llm-ai

0

context-engineering

This skill should be used when designing context management, implementing tiered fidelity, reducing token waste, applying Four Laws patterns, creating "NOT PASSED" sections, optimizing agent context, or debugging context-related issues. Provides SOTA patterns for context-efficient multi-agent systems achieving 60-80% token reduction.

abossenbroek

data-ai

llm-ai

0

new-agent

Create a new backend agent for the Claude Assistant Platform. Use when adding a new specialized agent, scaffolding an agent, or when the user says "create agent", "add agent", "new agent", or "scaffold agent".

baglett

data-ai

llm-ai

0

rag-pipeline

Build production RAG (Retrieval-Augmented Generation) pipelines with LangChain and Qdrant. Use when users ask to implement semantic search, document Q&A, build RAG systems, create vector search, implement HyDE, CRAG, or Agentic RAG patterns.

SyedMuhammadSarmad

data-ai

llm-ai

0

get-history

Access raw conversation history from Claude Code session storage for analysis

cowwoc

data-ai

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