Mastra Agent Skills
Official Mastra skills: an agent finds framework APIs in the docs, fixes common errors and walks through version migrations.
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Extended access
Why this level
- The Factory skill reads deployment data and changes state only with user authorization.
- Deploying with `mastra deploy` sends the project to an external platform.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/mastra-agent-skillsDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- The Factory skill reads deployment data and changes state only with user authorization.
- Deploying with `mastra deploy` sends the project to an external platform.
This is third-party code. Review the repository files before installing.
What it does
Two official skills for agents building applications on Mastra, a TypeScript framework for AI agents. The `mastra` skill guides project setup and looks up APIs in the embedded docs under `node_modules/@mastra/*/dist/docs/` or in `https://mastra.ai/llms.txt`. Separate sections cover common errors, version migrations, deployment to the Mastra Platform and trace queries. The `mastra-factory` skill connects an agent to your own deployment through `mastra api factory`. The agent reads queue summaries, sessions and work-item memory, and runs state-changing operations only with the user's authorization. The same set is served through the `.well-known` scheme at `https://mastra.ai/.well-known/skills/`.
Who it is for. Mastra developers who hand project setup, version upgrades and framework error triage to Claude Code or Cursor.
Good fit when
- A new Mastra project is created from the command line and the agent needs current steps.
- After upgrading `@mastra/*` packages the application no longer builds.
- The agent has to find a method signature instead of guessing from memory.
- The application ships to the Mastra Platform with `mastra deploy`.
- A team inspects work queues and sessions through `mastra api factory`.
Not a fit when
- The project uses a different agent framework.
- The agent may not reach the network or Mastra services.
- General questions about AI agents with no tie to this framework.
Example request
Create a Mastra project and wire in an agent with a search tool. If unsure about an API, open the embedded docs in `node_modules`.Limitations
The skills cover only Mastra and are useless for other frameworks. Documentation lookup needs installed `@mastra/*` packages or access to `mastra.ai`. The `mastra-factory` skill works against your own Factory deployment and requires a CLI login. Global installation depends on the agent: PromptScript does not support it, and after installing you should confirm the skill is linked. The `mastra` skill can send bug reports to the Mastra team, and that needs explicit user consent.
How to disable. Remove the `mastra` and `mastra-factory` folders from the agent's skills directory, or undo the install with the same `npx skills` tool.
FAQ
What is in the repository?
Two skills: `mastra` for development and `mastra-factory` for working with Factory. The first ships reference files on setup, errors, migrations and the platform.
How do I install only the Factory skill?
`npx skills add mastra-ai/skills --skill mastra-factory` installs it alone. The tool asks interactively for the agent and scope.
Where does the skill get documentation?
First from `node_modules/@mastra/*/dist/docs/` of installed packages, then from `https://mastra.ai/llms.txt` when the local copy falls short.
How do I install globally?
Name the agent explicitly: `--agent <agent> -g`. Afterwards run `npx skills list -g` and check that reference links are present.
Does manual installation work?
Yes. Clone `https://github.com/mastra-ai/skills.git` and point the agent at skills from that folder.
Discussion
No questions or reviews yet.
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README in short
The `mastra` skill is split into reference files, so the agent opens the section matching the user's question instead of reading everything.