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eino-guide（埃诺指南）

Agent Skill

eino-guide 用于查找、检索和筛选相关信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：eino-guide（埃诺指南）
来源仓库：https://github.com/cloudwego/eino-ext
仓库路径：skills/eino-guide
安装命令：
npx skills add https://github.com/cloudwego/eino-ext --skill eino-guide
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

skills.shnpx skills

npx skills add https://github.com/cloudwego/eino-ext --skill eino-guide

简介

Eino Go 框架构建 LLM 应用的核心概念指南。

定义 Component 标准化接口和多种实现方式。
包含 ChatModel、Tool、Embedding 等关键组件说明。
提供组件组合和运行时配置的最佳实践。适用宿主包括 Codex、Claude、Cursor、Gemini CLI，接入前应确认版本、权限和运行环境要求。
eino-guide 属于研究检索类 Skill，可作为该场景下的辅助能力补充。

SKILL.md

Eino Framework Guide

Eino (pronounced "i know") is a Go framework for building LLM applications.

Core Concepts

Component

Standardized interfaces for AI capabilities. Each interface has multiple interchangeable implementations.

Component	What It Does	Key Interface
ChatModel	LLM inference (generate / stream)	`model.BaseChatModel`, `model.ToolCallingChatModel`
Tool	Functions the model can call	`tool.InvokableTool`, `tool.EnhancedInvokableTool`
Embedding	Text to vector	`embedding.Embedder`
Retriever	Vector/keyword search	`retriever.Retriever`
Indexer	Store documents with vectors	`indexer.Indexer`
ChatTemplate	Prompt formatting with variables	`prompt.ChatTemplate`
Document Loader/Transformer	Load and process documents	`document.Loader`, `document.Transformer`
Callback Handler	Observability and tracing	`callbacks.Handler`

Implementations live in eino-ext (OpenAI, Claude, Gemini, Ark, Ollama, Milvus, Redis, Elasticsearch, etc.).

-> Use /eino-component for selecting, configuring, and using components.

Orchestration (Compose)

Three APIs for wiring components into executable pipelines. All compile to a Runnable[I, O] with four execution modes (Invoke, Stream, Collect, Transform).

API	Topology	When to Use
Graph	Directed graph, supports cycles	Complex flows with branching, loops (e.g., ReAct pattern)
Chain	Linear sequential	Simple pipelines (e.g., template -> model)
Workflow	DAG with field-level mapping	Parallel branches with struct field routing

The compose layer handles type checking, stream conversion between nodes, concurrency, callback injection, and option distribution automatically.

-> Use /eino-compose for building graphs, chains, workflows, streaming, callbacks, and state management.

ADK (Agent Development Kit)

High-level abstractions for building AI agents. Encapsulates the model-tool-loop pattern.

Concept	What It Does
ChatModelAgent	ReAct-style agent: model generates, calls tools, loops until done
DeepAgent	Pre-built agent with filesystem backend, tool search, summarization
Runner	Executes agents, manages checkpoints, emits event streams
Middleware (Handlers)	Intercept and extend agent behavior (filesystem, summarization, plan-task, etc.)
Interrupt/Resume	Human-in-the-loop: pause agent, get user input, resume from checkpoint
AgentAsTool	Wrap an agent as a tool callable by another agent

-> Use /eino-agent for building agents, configuring middleware, runners, and human-in-the-loop.

Schema

Shared data types used across all layers:

schema.Message -- Conversation message (system/user/assistant/tool roles, content, tool calls)
schema.Document -- Document with content, metadata, and vector embeddings
schema.ToolInfo -- Tool description with JSON schema parameters
schema.StreamReader[T] -- Generic streaming reader (always defer stream.Close())

Repositories

Repository	Role
`github.com/cloudwego/eino`	Core: interfaces, schema, compose engine, ADK, callbacks
`github.com/cloudwego/eino-ext`	Implementations: model providers, vector stores, tools, callback handlers

Packages at a Glance

eino (core):

Package	Contains
`schema`	Message, Document, ToolInfo, StreamReader
`components/model`	ChatModel interfaces
`components/tool`	Tool interfaces (BaseTool, InvokableTool, StreamableTool, Enhanced variants)
`components/embedding`	Embedder interface
`components/retriever`	Retriever interface
`components/indexer`	Indexer interface
`components/document`	Loader, Transformer interfaces
`components/prompt`	ChatTemplate interface
`compose`	Graph, Chain, Workflow, ToolsNode, Runnable, state, checkpoint
`callbacks`	Handler interface, global/per-run registration
`adk`	Agent, Runner, ChatModelAgent, middleware, interrupt/resume
`adk/prebuilt/deep`	DeepAgent preset

eino-ext (implementations):

Package	Contains
`components/model/{provider}`	ChatModel implementations (openai, claude, gemini, ark, ollama, deepseek, qwen, etc.)
`components/embedding/{provider}`	Embedding implementations (openai, ark, ollama, etc.)
`components/retriever/{backend}`	Retriever implementations (redis, milvus2, es8, qdrant)
`components/indexer/{backend}`	Indexer implementations (redis, milvus2, es8, qdrant)
`components/tool/{type}`	Tool implementations (mcp, googlesearch, duckduckgo, bingsearch, etc.)
`callbacks/{provider}`	Callback handlers (cozeloop, apmplus, langfuse, langsmith)
`adk/backend/local`	Local filesystem Backend for DeepAgent

Choosing Your Approach

Scenario	Approach	Skill
Single model call (generate or stream)	Use ChatModel directly	`/eino-component`
Multi-turn agent with tools	ChatModelAgent + Runner	`/eino-agent`
Production agent with filesystem, tool search	DeepAgent	`/eino-agent`
Linear pipeline (template -> model)	Chain	`/eino-compose`
Complex flow with branching or loops	Graph	`/eino-compose`
Parallel branches with field mapping	Workflow	`/eino-compose`
RAG (embed + index + retrieve)	Indexer + Retriever + Embedding	`/eino-component`
Agent with human approval	Interrupt/Resume + Runner	`/eino-agent`
Observability and tracing	Callback handlers	`/eino-component`

Reference Files

reference/schema.md -- Core data types shared across all layers: Message, Document, ToolInfo, StreamReader
reference/runnable.md -- Runnable[I, O] interface, four execution modes, runtime options
reference/quick-start.md -- Three complete working examples (ChatModel, Agent+Runner, Chain)

Instructions to Agent

Route to the appropriate skill (/eino-component, /eino-compose, /eino-agent) when the question is specific. Consult the "Choosing Your Approach" table.
Always provide Go code examples using real import paths from github.com/cloudwego/eino and github.com/cloudwego/eino-ext.
For component implementation details, always read the provider's reference file before generating code. Do not assume constructor or config naming conventions.
Prefer ADK (ChatModelAgent + Runner) for agent use cases over manually building ReAct loops with compose graphs.
When showing streaming code, always include defer stream.Close().

适合场景

用户想查找某类 Agent Skill 时

需要根据任务场景推荐可安装能力包时

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.65%

按下载量换算233

Claude

30.15%

按下载量换算192

Cursor

19.57%

按下载量换算124

Gemini CLI

8.35%

按下载量换算53

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/cloudwego/eino-ext

SKILL.md 来源

github.com

/cloudwego/eino-ext/tree/main/skills/eino-guide

skills-sh

skills.sh

/cloudwego/eino-ext/eino-guide

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