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mastramastra 文档

Agent Skill

mastra 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。

总安装

1,714

周安装

70

GitHub Stars

323

下载量

554
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/pedronauck/skills
仓库路径:skills/mastra
安装命令:
npx skills add https://github.com/pedronauck/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/pedronauck/skills --skill mastra

简介

mastra 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据技术栈定位文档或示例。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或缓存更新。
  • 建议结合原始 README 核验搜索覆盖范围,避免遗漏本地知识库内容。

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Everything you know about Mastra is likely outdated or wrong.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

Documentation lookup guide

Quick Reference

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

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 - See: 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 - See: 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 - See: 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)
  • RAG: Query external knowledge (vector stores, graph relationships)
  • Storage: Persist data (Postgres, LibSQL, MongoDB)

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":

  • "openai/gpt-5.2"
  • "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

33.95%
按下载量换算188

Claude

29.16%
按下载量换算162

Cursor

19.16%
按下载量换算106

Gemini CLI

9.23%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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