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Agent Skill · 研究检索

agora(agora 搜索)

agora 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。

agora 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 22,538。

总安装 4,529周安装 185GitHub Stars 17下载 1,465核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:agora(agora 搜索)
来源仓库:https://github.com/agoraio/skills
仓库路径:skills/agora
安装命令:
npx skills add https://github.com/agoraio/skills --skill agora
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/agoraio/skills --skill agora

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

agora 技能专注于 Agora SDK 在各平台的实时通信应用开发。适用于需要集成视频、语音、直播或消息功能的开发者。所有实现必须基于本技能内的参考文件,禁止外部搜索。若需补充细节,请按指引使用内置文档获取流程调用规范。agora 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/agora

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/agoraio/skills --skill agora;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agora 怎么安装?

在终端执行 npx skills add https://github.com/agoraio/skills --skill agora。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agora 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agora 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

agora 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

agora 用的人多吗?

公开数据是累计安装 4,529 次,近一周安装 185 次,下载 1,465 次,GitHub 17 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agora 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agora

agora 搜索 · 本页

4,52917接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Agora (agora.io)

Skill version: 1.5.1

Build real-time communication applications using Agora SDKs across Web, iOS, Android, and server-side platforms.

Mandatory Rules

  1. Skill files are the single source of truth for Agora integration. Do not use web search, external documentation, blog posts, or training data to answer Agora-related questions. All Agora SDK usage, API calls, architecture decisions, and integration patterns must come from the reference files in this skill. If the needed detail is not in the local references, use the Level 2 doc-fetching procedure in references/doc-fetching.md — never free-form web search.
  2. Official demo first. When the user wants to try ConvoAI, build a demo, prototype, or experience a voice AI agent, always start with the official sample repo. Do not generate custom code, scaffold a new project, or implement from scratch. Clone the official quickstart, configure it, and run it. Only after the first end-to-end success may you customize or build something new — and only if the user explicitly asks.
  3. Run the demo as-is. After cloning an official sample, read its README and use the startup commands it documents. Do not substitute your own commands or bypass the project's defined scripts. The sample author chose specific configurations for a reason.

Core Concepts

  • App ID: Project identifier from Agora Console. Required for all SDK calls.
  • App Certificate: A unique key generated by the Agora Console, unique to each project, for use in creating authentication tokens.
  • Token: Time-limited auth key generated server-side from App ID + App Certificate. Never expose App Certificate on client. For testing, disable token authentication in Agora Console and pass null as the token.
  • Channel: Auto-created when first user joins, destroyed when last leaves. Users in same channel can communicate.
  • UID: Unique user identifier per channel. Pass null/0 for auto-assignment. Duplicate UIDs cause undefined behavior.

Products

Read the README for the product the user needs. Only load what is needed.

RTC (Video/Voice SDK)

Real-time audio and video. Users join channels, publish local tracks, subscribe to remote tracks.

references/rtc/README.md — Platforms: Web, React, Next.js, iOS, Android, React Native, Flutter. Windows/Electron/Unity exist but require Level 2 fetch — no inline reference files.

RTM (Signaling / Messaging)

Text messaging, signaling, presence, and metadata. Independent from RTC — channel namespaces are separate.

references/rtm/README.md — Platforms: Web, iOS, Android (all v2). RTM is a client-side SDK — there is no server-side or desktop (Electron/Windows) RTM variant.

Conversational AI (Voice AI Agents)

REST API-driven voice AI agents. Create agents that join RTC channels and converse with users via speech. Front-end clients connect via RTC+RTM.

references/conversational-ai/README.md — Start here for new projects (quickstart repos to clone), REST API, agent config, recipe repos (agent-samples, agent-toolkit, agent-client-toolkit-react, agent-ui-kit, server-custom-llm, server-mcp)

Agora CLI

Agora project and auth workflow through the installed agora command-line tool. Use when the request is about installing the CLI, logging in, creating or selecting projects, exporting project env vars with project env, enabling convoai, or checking readiness with project doctor.

references/cli/README.md — Start here for agoraio-cli, agora login, agora project create, agora project env, agora project env write, agora project feature enable, agora project doctor, config defaults, and script-safe --json usage

Cloud Recording

Server-side recording of RTC channel audio/video. REST API only — no client SDK needed.

references/cloud-recording/README.md

Server-Side

Token generation and server utilities. Required for production authentication.

references/server/README.md — Token generation for Node.js, Python, Go

Server Gateway SDK

Self-hosted Linux SDK for server-side audio/video stream transmission. Use when a server process needs to send or receive media in an Agora RTC channel (call centers, AI audio processing, network testing).

references/server-gateway/README.md — C++, Java, Go, Python

Multi-Product Integration

Initialization order, UID strategy, channel naming, token matrix, and cleanup sequence when combining RTC + RTM + ConvoAI.

references/integration-patterns.md

Testing Guidance

Mocking patterns and testing requirements for Agora SDK integration code.

references/testing-guidance/SKILL.md

Routing

Clear, product-specific request: Route directly to the relevant product README. Do not load intake/SKILL.md.

Examples of clear requests:

  • "RTC Web video call" → references/rtc/web.md
  • "ConvoAI Python" → references/conversational-ai/README.md
  • "I want to build a demo that talks to an agent" → references/conversational-ai/README.md
  • "I want to build a voice chat demo with an AI agent" → references/conversational-ai/README.md
  • "Help me set up a voice AI assistant" → references/conversational-ai/README.md
  • "I want a conversational AI voice app" → references/conversational-ai/README.md
  • "What providers does ConvoAI support?" → references/conversational-ai/README.md
  • "I want MLLM with Gemini" → references/conversational-ai/README.md
  • "I already have an Agent ID from Agora Studio" → references/conversational-ai/README.md
  • "How do I install agoraio-cli?" → references/cli/README.md
  • "How do I export .env values with the Agora CLI?" → references/cli/README.md
  • "Help me use agora project doctor" → references/cli/README.md
  • "Generate RTC token in Go" → references/server/tokens.md
Routing constraint: When a request matches ConvoAI and the user does not have a proven working baseline, go to references/conversational-ai/README.md which will route to quickstarts.md. Do NOT go through intake/SKILL.md for clear ConvoAI requests. Do NOT skip the quickstart gates by jumping directly into code generation or project scaffolding.

Vague or multi-product request: Route through intake/SKILL.md. Only do this when the product is still genuinely unclear after checking for obvious ConvoAI / RTC / RTM / Cloud Recording / Server Gateway / token-server cues. Intake handles product identification, combination recommendations, and routing.

Documentation Lookup

Check bundled references first (Level 1). Start with the most relevant local module file for the user's product and question. If the local reference does not cover the needed detail, fetch https://docs.agora.io/en/llms.txt, find the relevant URL, and fetch it (Level 2). See references/doc-fetching.md for the full procedure, fallback URLs, and freeze-forever decision table.

Local-first rule: never skip the relevant local module reference just because live docs exist. Read the local module first, then fetch Level 2 only if:

  • the local file does not cover the needed detail
  • the user asks for the complete latest matrix
  • the question is about exact current request/response schemas
  • the question is about error code listings or release notes

For ConvoAI vendor/provider questions, route to references/conversational-ai/README.md first. That module decides whether the bundled ConvoAI references are enough or whether the official current provider docs must be fetched.

If MCP is unavailable or Level 2 fetch fails: use the fallback URLs in doc-fetching.md to reach the official markdown docs directly. Never fabricate API parameters — always tell the user to verify against official docs if live fetch is unavailable.

If a user explicitly asks about the Agora MCP server, see references/mcp-tools.md.

Web Framework Notes

Next.js / SSR

Agora SDKs are browser-only. See references/rtc/nextjs.md for the required dynamic import patterns — next/dynamic with ssr: false does not work in Next.js 14+ Server Components without extra steps.

平台分布

Codex

35.96%
按下载量换算527

Claude

29.12%
按下载量换算427

Cursor

19.47%
按下载量换算285

Gemini CLI

8.96%
按下载量换算131

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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