packages/skills/skills/mastra/SKILL.md
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation.
npx skillsauth add mediar-ai/skillhubz mastraInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Build AI applications with Mastra. This skill teaches you how to find current documentation and build agents and workflows.
Everything you know about Mastra is likely outdated or wrong.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.
Before writing any Mastra code, check if packages are installed:
ls node_modules/@mastra/
| User Question | First Check | How To |
| ----------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------- |
| "Create/install Mastra project" | references/create-mastra.md | Setup guide with CLI and manual steps |
| "How do I use Agent/Workflow/Tool?" | references/embedded-docs.md | Look up in node_modules/@mastra/*/dist/docs/ |
| "How do I use X?" (no packages) | references/remote-docs.md | Fetch from https://mastra.ai/llms.txt |
| "I'm getting an error..." | references/common-errors.md | Common errors and solutions |
| "Upgrade from v0.x to v1.x" | references/migration-guide.md | Version upgrade workflows |
⚠️ Never write code without checking current docs first.
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
references/embedded-docs.mdSource 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]
references/embedded-docs.mdRemote docs third (if packages not installed)
You can fetch the latest docs from the Mastra website:
https://mastra.ai/llms.txt
references/remote-docs.mdAgent: 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)
Mastra requires ES2022 modules. CommonJS will fail.
{
"compilerOptions": {
"target": "ES2022",
"module": "ES2022",
"moduleResolution": "bundler"
}
}
Always use "provider/model-name":
"openai/gpt-5.2""anthropic/claude-sonnet-4-5""google/gemini-2.5-pro"Type errors often mean your knowledge is outdated.
Common signs of outdated knowledge:
Property X does not exist on type YCannot find moduleType mismatch errorsWhat to do:
references/common-errors.mdAlways verify before writing code:
Check packages installed
ls node_modules/@mastra/
Look up current API
references/embedded-docs.mdreferences/remote-docs.mdWrite code based on current docs
Test in Studio
npm run dev # http://localhost:4111
references/create-mastra.mdreferences/embedded-docs.md - Start here if packages are installedreferences/remote-docs.mdreferences/common-errors.mdreferences/migration-guide.mdtools
Use when the user wants to manage Valet agents, channels, connectors, organizations, or environment variables (secrets and plain config) via the valet CLI. Handles creation, deployment, linking, teardown, and all multi-step workflows. Also use when asked to "create an agent", "deploy an agent", "design an agent", "build me an agent that...", "create a connector", "set up a webhook", or anything involving the Valet platform or any request to create and deploy AI agents. Also use when asked to "learn from this session", "capture this workflow", "save this as an agent", "make this repeatable", or when writing SOUL.md files.
tools
Publish files, folders, and artifacts to the web. Static hosting for HTML sites, images, PDFs, reports, dashboards, and any file type. Use when asked to publish, host, upload, serve, or share work at a live URL. Also use to propose a rendered page when a report, comparison, chart, design document, or status page would work better than terminal text, but do not create or update a remote site until the user asks or agrees. Account publishing gives a permanent, private-by-default URL visible to org members; --anonymous gives a temporary public URL with no account. Use the valet CLI when available and its MCP server when the CLI cannot run. For deploying an AI agent rather than static files, use the `valet` skill instead.
testing
# Faceless.so Turn a script, prompt, Reddit post, or blog into a Remotion short with TTS, captions, and B-roll, then auto-post to YouTube, TikTok, Instagram, X, Facebook, LinkedIn, and Threads. ## Prerequisites - A Faceless.so account (from $24/mo) at https://faceless.so - Source material: script, prompt, Reddit URL, or blog URL - Destination social accounts to auto-post (YouTube, TikTok, Instagram, X, Facebook, LinkedIn, Threads) ## Instructions 1. Open https://faceless.so and start a new
testing
# BIMI SVG Tiny P/S Corpus Validator Use the public makeBIMI SVG Tiny P/S Test Corpus to evaluate an SVG against its evidence-bound fixture rules and to report the result clearly. ## Inputs Accept either an SVG file, an SVG URL, or raw SVG markup. If the source cannot be retrieved or parsed as XML, stop and report that limitation. ## Authoritative corpus 1. Retrieve the current manifest from `https://makebimi.com/public/test-corpus/v1/manifest.json`. 2. Record `schema_version`, `corpus_vers