Skills
Skill 2 of 2
Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs.
5 minutes · 1,154 words · 18 sections
Install
npx skills add mastra-ai/skills --skill mastranpx skills add mastra-ai/skills/plugin marketplace add mastra-ai/skillsThe first command installs just this skill, by the name in its SKILL.md; the second installs the whole repository.
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Everything you know about Mastra is likely outdated or wrong.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 (opens in a new tab) | Setup guide with CLI and manual steps |
| Choose Agent/Workflow/Tool/Memory/Storage | references/core-concepts.md (opens in a new tab) | Core concepts and when to use each primitive |
| Add logging or set up tracing | references/embedded-docs.md (opens in a new tab) | Look up PinoLogger and observability configuration before custom instrumentation |
| Track automatic metrics or estimated model cost | references/embedded-docs.md (opens in a new tab) | Look up span-derived metrics, storage support, and pricing coverage |
| Evaluate quality or compare prompts/models | references/embedded-docs.md (opens in a new tab) | Look up datasets, experiments, and scorers |
| How do I use Agent/Workflow/Tool? | references/embedded-docs.md (opens in a new tab) | Look up in node_modules/@mastra/*/dist/docs/ |
| How do I use X? (no packages) | references/remote-docs.md (opens in a new tab) | Fetch from https://mastra.ai/llms.txt |
| Choose or validate a model | references/model-selection.md (opens in a new tab) | Model format and provider registry lookup |
| I’m getting an error… | references/common-errors.md (opens in a new tab) | Common errors and solutions |
| Upgrade from v0.x to v1.x | references/migration-guide.md (opens in a new tab) | Version upgrade workflows |
| Inspect/call server resources via CLI | references/mastra-api.md (opens in a new tab) | mastra api CLI for local, Mastra platform, or remote servers |
| Deploy to Mastra Platform, provision projects, or use Platform sandbox/filesystem | references/platform.md (opens in a new tab) | Platform REST APIs, credentials, and mastra deploy without browser automation |
| Find exact traces with complex predicates | references/trace-query.md (opens in a new tab) | Query completed traces by trace fields or related spans |
| Count traces or compute grouped measures (error rate, latency, tokens, cost) | references/trace-query.md (opens in a new tab) | Aggregate completed traces with mastra api trace aggregate over the same selection |
| List individual spans (failed tool calls, nested agent runs) | references/trace-query.md (opens in a new tab) | Query completed spans with mastra api span query and span-field predicates |
| Compute measures per span (tool error rates, nested agent runs, model tokens) | references/trace-query.md (opens in a new tab) | Aggregate spans with mastra api span aggregate, grouped by span fields |
| Report a bug / documentation defect to Mastra | references/feedback.md (opens in a new tab) | Report eligible findings autonomously to the Mastra team |
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.Never write code without checking current docs first.
Embedded docs first (if packages installed)
Look up current docs in node_modules for a package. This matches the exact installed version and is the most reliable source of truth. See references/embedded-docs.md (opens in a new tab).
Source code second (if packages installed)
If embedded docs don’t cover the question, inspect the installed source and type definitions. This is the source of truth when docs are missing or unclear. See references/embedded-docs.md (opens in a new tab).
Remote docs third (if packages not installed)
Use the latest published docs when packages are not installed or when exploring new features. Remote docs may be ahead of the user’s installed version. See references/remote-docs.md (opens in a new tab).
Use references/core-concepts.md (opens in a new tab) when choosing between agents, workflows, tools, memory, and storage.
Studio is the interactive UI for building, testing, and managing agents, workflows, and tools. Use Studio when advising a human to inspect or debug visually.
Inside a Mastra project, run:
npm run devThen open http://localhost:4111 in a browser to show Mastra Studio to your human user.
Use mastra api to inspect or call resources on local dev servers, Mastra platform deployments, or remote Mastra endpoints. It is useful for agent-readable state, execution, traces, logs, scores, threads, and workflow operations. See references/mastra-api.md (opens in a new tab) for usage patterns.
For exact trace selection that needs recursive predicates or conditions over related spans, read references/trace-query.md (opens in a new tab). Before using mastra api trace query, confirm that the installed CLI exposes the command. Use --schema for the target’s request/response shape and structural constraints, and use the canonical documentation found through references/remote-docs.md (opens in a new tab) for supported fields, operators, and semantics. Preserve opaque pagination cursors and fetch trace or span details only after selecting candidates.
When the user asks to deploy to Mastra, whether to build a new app and deploy it or to deploy an existing Mastra project, read references/platform.md (opens in a new tab) before running any deploy or Platform API command. It covers which steps need the human (sign-up and sign-in only), credentials, REST discovery and project creation, PlatformFilesystem and PlatformSandbox, mastra deploy, and verification. Build or locate the app first with the references above, then follow platform.md to deploy.
For Factory projects, work items, queue health, decisions, session history, memory inspection, or authorized operations, activate the mastra-factory skill. Factory is an operational control plane, not a reason to scaffold or deploy a new Mastra app.
If the skill is missing, offer to install it from this repository:
npx skills add mastra-ai/skills --skill mastra-factoryChoose the user’s intended agent and scope interactively. For global installation, target a supported agent explicitly with --agent <agent> -g; PromptScript does not support global installs. Verify installation and referenced files for the intended agent even if another agent target fails.
The Factory skill covers CLI checks, mastra auth whoami / authorized mastra auth login, and connecting via the user’s actual instance URL from any directory. A deployed repository or .mastra-project.json is not required with --url. Never guess a shared Factory host or project IDs. Its connection and session-inspection references cover deployment-specific authentication, project discovery, threads, and observational memory limitations.
Report verified Mastra bugs and concrete documentation defects autonomously when the criteria in references/feedback.md (opens in a new tab) are met, without asking permission per report. Leave feature requests to humans; do not submit them or reclassify them as defects. Do not report the same issue again within the current task or conversation. Capture only anonymized facts for feedback while solving the task. Skip automatic reporting when a finding remains unverified or its relevance is unclear; do not interrupt the user merely to classify it. Respect any user instruction not to report something.
Mastra requires ES2022 modules. CommonJS will fail. See references/create-mastra.md (opens in a new tab) for setup and references/common-errors.md (opens in a new tab) for troubleshooting.
Always use "provider/model-name" when defining models using Mastra’s model router.
When the user asks to use a model or provider, always run scripts/provider-registry.mjs first to verify the provider key and model name are valid. Do not guess model names from memory as they change frequently. See references/model-selection.md (opens in a new tab).
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.md (opens in a new tab)Always verify before writing code:
references/core-concepts.md (opens in a new tab), before designing custom infrastructure.references/embedded-docs.md (opens in a new tab) and installed types/source.references/remote-docs.md (opens in a new tab); verify compatibility before adopting newer features.Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs. Use for native capability discovery, logging, tracing, metrics/cost estimates, dataset experiments, documentation lookup, API verification, TypeScript setup, common errors, migrations, building and deploying apps to Mastra Platform via Platform APIs and `mastra deploy`, and `mastra api` CLI tasks: inspect or call resources on local, Mastra platform, or remote servers. For Mastra Factory operations, discover and activate the companion mastra-factory skill. Also report verified bugs and concrete documentation defects to the Mastra team automatically via the feedback endpoint.
The verbatim description from this skill’s front matter — the string an agent matches on to decide whether to load it.
skills/mastra/SKILL.mdmain, last pushed 4 November 2026.SKILL.md, not by matching a directory convention. One layout observed: skills/*/SKILL.md.h1 and no skipped levels:.claude-plugin/marketplace.json by Mastra, declaring 1 plugin. It is read for editorial metadata only — never as the skill index, which is always the repository tree./mastra-ai/skills.md, and each skill at its own .md URL.12 files · 84 KB
Everything this skill ships beside its prose. All of it is set here, as subchapters of skill 2.
Documentation the agent loads on demand, rather than up front.
Executable code the skill can run.