Skills

All Skills

LLM Applications

Skills tagged with #LLM Applications

@Arize-ai

phoenix-cli

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.

Arize-ai/openinference+1 more
18d ago
8850
@SynaLinks

synalinks

Build neuro-symbolic LLM applications with Synalinks framework. Use when working with DataModel, Program, Generator, Module, training LLM pipelines, in-context learning, structured output, JSON operators, Branch/Decision control flow, FunctionCallingAgent, RAG/KAG, or Keras-like LLM workflows.

SynaLinks/synalinks-skills
18d ago
8990
@fanqingxuan

eino

Eino LLM/AI application development framework assistant (Golang). Use when the user needs to: (1) Build AI agents, (2) Create LLM applications, (3) Implement tool calling, (4) Build multi-agent systems, (5) Create workflows with Graph/Compose, (6) Implement streaming, (7) Human-in-the-loop patterns, or any other Eino framework development tasks. Triggers on phrases like "Eino 开发", "创建 Agent", "LLM 应用", "AI Agent", "Eino 框架", "构建智能体".

fanqingxuan/awesome-skills+4 more
19d ago
180
@0xPlaygrounds

rig

Build LLM-powered applications with Rig, the Rust AI framework. Use when creating agents, RAG pipelines, tool-calling workflows, structured extraction, or streaming completions. Covers all providers with a unified API.

0xPlaygrounds/rig+6 more
18d ago
6.5K0