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mastramastra 文档

Agent Skill

mastra 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

总安装

330,264

周安装

13,873

GitHub Stars

51

下载量

115,648
CodexClaudeCursorGemini CLI

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

2

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:mastra(mastra 文档)
来源仓库:https://github.com/mastra-ai/skills
仓库路径:skills/mastra
安装命令:
npx skills add https://github.com/mastra-ai/skills --skill mastra
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/mastra-ai/skills --skill mastra

简介

使用当前 Mastra API 构建代理和工作流程的参考指南。

  • 始终验证 node_modules/@mastra/*/dist/docs/ 中的嵌入文档
  • (安装版本)或远程文档 https://mastra.ai/llms.txt
  • 在编写代码之前;训练数据已过时
  • 核心构建块:代理(自主、决策)、工作流(结构化序列)、工具(扩展功能)、内存(维护上下文)和 RAG(外部知识)
  • 需要 TypeScript 配置中的 ES2022 模块和“provider/model-name”模型格式
  • (例如,“openai/gpt-5.4”)
  • 包括嵌入式安装参考、常见错误、迁移和 API 查找策略,以匹配您确切安装的版本

SKILL.md

Mastra Framework Guide

Build AI applications with Mastra. This skill teaches you how to find current documentation and build agents and workflows.

⚠️ Critical: Do not trust internal knowledge

Everything you know about Mastra is likely outdated or wrong. Never rely on memory. Always verify against current documentation.

Your training data contains obsolete APIs, deprecated patterns, and incorrect usage. Mastra evolves rapidly - APIs change between versions, constructor signatures shift, and patterns get refactored.

Prerequisites

Before writing any Mastra code, check if packages are installed:

ls node_modules/@mastra/
  • If packages exist: Use embedded docs first (most reliable)
  • If no packages: Install first or use remote docs

Available files

References

User QuestionFirst CheckHow To
"Create/install Mastra project"references/create-mastra.mdSetup guide with CLI and manual steps
"How do I use Agent/Workflow/Tool?"references/embedded-docs.mdLook up in node_modules/@mastra/*/dist/docs/
"How do I use X?" (no packages)references/remote-docs.mdFetch from https://mastra.ai/llms.txt
"I'm getting an error..."references/common-errors.mdCommon errors and solutions
"Upgrade from v0.x to v1.x"references/migration-guide.mdVersion upgrade workflows

Scripts

  • scripts/provider-registry.mjs: Look up current providers and models available in the model router. Always run this before using a model to verify provider keys and model names.

Priority order for writing code

⚠️ Never write code without checking current docs first.

  1. Embedded docs first (if packages installed) Look up current docs in node_modules for a package. Example of looking up "Agent" docs in @mastra/core: grep -r "Agent" node_modules/@mastra/core/dist/docs/references

- Why: Matches your EXACT installed version - Most reliable source of truth - More information: references/embedded-docs.md

  1. Source code second (if packages installed) If you can't find what you need in the embedded docs, look directly at the source code. This is more time consuming but can provide insights into implementation details. # Check what's available cat node_modules/@mastra/core/dist/docs/assets/SOURCE_MAP.json | grep '"Agent"' # Read the actual type definition cat node_modules/@mastra/core/dist/[path-from-source-map]

- Why: Ultimate source of truth if docs are missing or unclear - Use when: Embedded docs don't cover your question - More information: references/embedded-docs.md

  1. Remote docs third (if packages not installed) You can fetch the latest docs from the Mastra website: https://mastra.ai/llms.txt

- Why: Latest published docs (may be ahead of installed version) - Use when: Packages not installed or exploring new features - More information: references/remote-docs.md

Core concepts

Agents vs workflows

Agent: Autonomous, makes decisions, uses tools Use for: Open-ended tasks (support, research, analysis)

Workflow: Structured sequence of steps Use for: Defined processes (pipelines, approvals, ETL)

Key components

  • Tools: Extend agent capabilities (APIs, databases, external services)
  • Memory: Maintain context (message history, working memory, semantic recall, observational memory)
  • RAG: Query external knowledge (vector stores, graph relationships)
  • Storage: Persist data (Postgres, LibSQL, MongoDB)

Mastra Studio

Studio provides an interactive UI for building, testing, and managing agents, workflows, and tools. It helps with debugging and improving your applications iteratively.

Inside a Mastra project, run:

npm run dev

Then open http://localhost:4111 in your browser to access Mastra Studio.

Critical requirements

TypeScript config

Mastra requires ES2022 modules. CommonJS will fail.

{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ES2022",
    "moduleResolution": "bundler"
  }
}

Model format

Always use "provider/model-name" when defining models using Mastra's model router.

Use the provider registry script to look up available providers and models:

# List all available providers
node scripts/provider-registry.mjs --list

# List all models for a specific provider (sorted newest first)
node scripts/provider-registry.mjs --provider openai
node scripts/provider-registry.mjs --provider anthropic

When the user asks to use a model or provider, always run the script first to verify the provider key and model name are valid. Do not guess model names from memory as they change frequently.

Example model strings:

  • "openai/gpt-5.4"
  • "anthropic/claude-sonnet-4-5"
  • "google/gemini-2.5-pro"

When you see errors

Type errors often mean your knowledge is outdated.

Common signs of outdated knowledge:

  • Property X does not exist on type Y
  • Cannot find module
  • Type mismatch errors
  • Constructor parameter errors

What to do:

  1. Check references/common-errors.md
  2. Verify current API in embedded docs
  3. Don't assume the error is a user mistake - it might be your outdated knowledge

Development workflow

Always verify before writing code:

  1. Check packages installed ls node_modules/@mastra/
  2. Look up current API

- If installed → Use embedded docs references/embedded-docs.md - If not → Use remote docs references/remote-docs.md

  1. Write code based on current docs
  2. Test in Studio npm run dev # http://localhost:4111

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

39.18%
按下载量换算45,311

Claude

29.31%
按下载量换算33,896

Cursor

17.3%
按下载量换算20,007

Gemini CLI

10.01%
按下载量换算11,576

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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 warning/failed 结果,不能写成本站确认安全。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

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