abhisheksharma-17/mastra
skills/mastra/SKILL.md
Mastra TypeScript AI agent framework for building production-ready agents, workflows, tools, RAG, memory, evals, voice, and multi-agent systems. MANDATORY TRIGGERS: mastra, Mastra, @mastra/core, mastra-ai, createTool, createWorkflow, createStep. Also trigger when user wants to build TypeScript AI agents with tools and memory, create graph-based workflows with suspend/resume, implement RAG pipelines in TypeScript, build multi-agent supervisor systems, add voice to AI agents, or deploy AI agent servers. When in doubt about whether to use this skill for TypeScript AI agent tasks, use it.
$ install --global
skillsauthnpx skillsauth add abhisheksharma-17/skills-graph mastraInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 30, 2026, 4:28 AM157.1s19 files scanned
SKILL.md
- name:
- mastra
- description:
- Mastra TypeScript AI agent framework for building production-ready agents, workflows, tools, RAG, memory, evals, voice, and multi-agent systems. MANDATORY TRIGGERS: mastra, Mastra, @mastra/core, mastra-ai, createTool, createWorkflow, createStep. Also trigger when user wants to build TypeScript AI agents with tools and memory, create graph-based workflows with suspend/resume, implement RAG pipelines in TypeScript, build multi-agent supervisor systems, add voice to AI agents, or deploy AI agent servers. When in doubt about whether to use this skill for TypeScript AI agent tasks, use it.
- license:
- MIT
- version:
- 1.0.0
- author:
- Abhishek Sharma
- tags:
- ["mastra", "ai-agents", "typescript", "workflows", "tools", "rag", "memory", "evals", "voice", "multi-agent"]
Mastra — Skill Router
TypeScript AI agent framework for building production-ready applications with agents, workflows, tools, and memory.
Source: mastra.ai/docs | Package: @mastra/core v1.37.x | License: ELv2
Reference Files
| Reference | File | Read When |
|-----------|------|-----------|
| Overview & Setup | references/00-overview.md | Getting started, installation, project structure, when to use Mastra |
| Agents | references/01-agents.md | Agent creation, generate/stream, instructions, model routing |
| Tools | references/02-tools.md | createTool, input/output schemas, MCP servers, tool control |
| Workflows | references/03-workflows.md | createWorkflow, createStep, execution, state, streaming |
| Control Flow | references/04-control-flow.md | Parallel, branching, loops, foreach, map, nested workflows |
| Suspend & Resume | references/05-suspend-resume.md | Human-in-the-loop, suspend/resume, sleep, approval patterns |
| Memory | references/06-memory.md | Message history, working memory, semantic recall, observational memory |
| RAG | references/07-rag.md | Document processing, chunking, embeddings, vector stores, retrieval |
| Structured Output | references/08-structured-output.md | Typed responses, output schemas, streaming, error handling |
| Multi-Agent Systems | references/09-multi-agent.md | Supervisor agents, delegation, memory isolation, networks |
| Guardrails & Safety | references/10-guardrails.md | Processors, prompt injection, PII detection, moderation, cost guards |
| Evals & Observability | references/11-evals-observability.md | Scorers, live evals, tracing, logging, metrics, Studio |
| Voice | references/12-voice.md | TTS, STT, real-time voice, providers, composite voice |
| Server & Deployment | references/13-server-deployment.md | Hono server, API routes, middleware, auth, deployment options |
Installation
# Create new project
npx create-mastra@latest
# Or add to existing project
npm install @mastra/core@latest
npm install @mastra/memory@latest # Memory support
npm install @mastra/libsql@latest # Storage provider
npm install @mastra/evals@latest # Evaluation scorers
npm install @mastra/observability@latest # Tracing & metrics
Quick Reference
- Docs: https://mastra.ai/docs
- GitHub: https://github.com/mastra-ai/mastra
- npm: https://www.npmjs.com/package/@mastra/core
- Studio: Built-in via
mastra dev - Examples: https://github.com/mastra-ai/mastra/tree/main/examples
Related Skills
abhisheksharma-17/vllm
development
VerifiedTrustedCommunity
High-throughput LLM inference and serving engine with PagedAttention, continuous batching, and OpenAI-compatible API. MANDATORY TRIGGERS: vLLM, vllm, LLM serving, LLM inference engine, PagedAttention. Also trigger when the user wants to serve LLMs in production, deploy models with tensor parallelism, use speculative decoding, quantize models for inference, build OpenAI-compatible API servers, or optimize LLM throughput and latency. When in doubt about whether to use this skill for LLM serving tasks, use it.
1SKILL.mdUpdated Jun 12, 2026
abhisheksharma-17/pydantic-ai
tools
VerifiedTrustedCommunity
Type-safe Python agent framework for building production-grade GenAI applications with Pydantic validation, structured outputs, and dependency injection. MANDATORY TRIGGERS: pydantic-ai, pydantic_ai, PydanticAI, pydantic ai agent. Also trigger when the user wants to build type-safe AI agents in Python, create structured LLM outputs with Pydantic models, implement dependency injection for agents, use tools/capabilities with LLMs, or build multi-agent systems with Python type safety. When in doubt about whether to use this skill for Python AI agent tasks, use it.
1SKILL.mdUpdated Jun 11, 2026
abhisheksharma-17/temporal
development
VerifiedTrustedCommunity
Durable execution platform for building fault-tolerant workflows, long-running processes, and resilient distributed applications. MANDATORY TRIGGERS: temporal, temporal.io, temporalio, durable execution, workflow orchestration engine. Also trigger when the user wants to build fault-tolerant workflows, implement saga patterns, create long-running distributed processes, orchestrate microservices with retries and timeouts, or build durable AI agent pipelines. When in doubt about whether to use this skill for workflow orchestration or durable execution tasks, use it.
1SKILL.mdUpdated Jun 9, 2026
abhisheksharma-17/llamaindex
tools
VerifiedTrustedCommunity
AI framework for building RAG pipelines, agents, workflows, and data-augmented LLM applications with 300+ integrations. MANDATORY TRIGGERS: llamaindex, llama-index, llama_index, LlamaIndex, VectorStoreIndex, SimpleDirectoryReader, LlamaHub, LlamaParse. Also trigger when the user wants to build RAG applications with LlamaIndex, create document indexing pipelines, build agentic workflows with tool calling, implement structured data extraction from documents, or connect LLMs to custom data sources. When in doubt about whether to use this skill for RAG, document indexing, or LLM data augmentation tasks, use it.
1SKILL.mdUpdated Jun 7, 2026