Mastra vs Skills.sh: Which is Better in 2026?
A comprehensive comparison of Mastra and Skills.sh covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Mastra if:
- →You need agents, tools, and workflows as typescript primitives or built-in observability: traces, metrics, and logs
Choose Skills.sh if:
- →You need one-command install: npx skills add <owner/repo> or all-time and 24-hour trending install leaderboards
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Mastra vs Skills.sh: At a Glance
Pricing Comparison: Mastra vs Skills.sh
Understanding the pricing differences between Mastra and Skills.sh is crucial for making the right choice. Here's how their plans compare side by side.
Mastra Pricing
💡 Pricing takeaway: Both Mastra and Skills.sh offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Mastra and Skills.sh stacks up.
What Makes Each Tool Unique
🔵 Unique to Mastra
Features available in Mastra but not in Skills.sh:
- ✓Agents, tools, and workflows as TypeScript primitives
- ✓Built-in observability: traces, metrics, and logs
- ✓Evals, experiments, scorers, and datasets
- ✓Studio for collaborative iteration on agents
- ✓Server product for cloud deployment
- ✓Extensive learning material — course, books, templates, workshops
🟣 Unique to Skills.sh
Features available in Skills.sh but not in Mastra:
- ✓One-command install: npx skills add <owner/repo>
- ✓All-time and 24-hour trending install leaderboards
- ✓Works across major agent harnesses, not vendor-locked
- ✓Publisher aggregation so one org does not flood the board
- ✓Topic browsing, official-publisher filter, and skill audits
- ✓Docs for authoring and publishing your own skills
Use Case Recommendations
Best for: Mastra
Mastra is a TypeScript framework for building AI agents and the applications around them, built by the team that previously created Gatsby. The core framework covers agents, tools, and workflows as first-class primitives, so a long-running agent is expressed in ordinary TypeScript rather than assembled from prompt strings and glue code. Around that framework sits a platform: observability with metrics, logs, and traces so agent runs are inspectable after the fact; evals, experiments, scorers, and datasets for measuring whether a change actually improved behavior; a Studio for collaborating on and iterating over agents; an Agent Builder; and a Server product that handles cloud deployment for agents. The company emphasizes agents that run for days rather than single-turn calls, which is what pushes the observability and scoring surface to the center of the product instead of leaving it as an add-on. Mastra is open source with roughly 26.7k GitHub stars and maintains a substantial learning surface — a quickstart, project templates, a video course, two books (Principles of Building AI Agents and Patterns of Building AI Agents), live workshops, and a weekly podcast — which makes it one of the more approachable entry points for JavaScript developers moving into agent work.
Ideal use cases:
- •Teams or individuals who need agents, tools, and workflows as typescript primitives
- •Teams or individuals who need built-in observability: traces, metrics, and logs
- •Teams or individuals who need evals, experiments, scorers, and datasets
- •Teams or individuals who need studio for collaborative iteration on agents
- •Anyone focused on typescript workflows
- •Anyone focused on agent framework workflows
Best for: Skills.sh
Skills.sh is an open directory and leaderboard for agent skills — reusable packets of procedural knowledge that you install into a coding agent to give it a capability it did not previously have. Installation is a single command, `npx skills add <owner/repo>`, and the directory works across the major agent harnesses rather than being tied to one vendor. The leaderboard is the useful part: skills are ranked by install count with both all-time and 24-hour trending views, so you can see what the ecosystem is actually converging on rather than what a vendor is promoting. At the time of writing the index tracks over a million installs, with the top entries including Vercel Labs' find-skills and agent-browser, Anthropic's frontend-design, and a large cluster from Matt Pocock covering test-driven development, codebase architecture improvement, handoff, and triage, alongside enterprise publishers like Microsoft's Azure skills collection and Feishu's Lark integrations, each aggregated so a single publisher does not flood the board. The site also carries topic browsing, an official-publisher filter, audits of published skills, and documentation on authoring your own. For anyone building agent workflows, it functions as both a package index and a signal of which procedural patterns are proving durable in practice.
Ideal use cases:
- •Teams or individuals who need one-command install: npx skills add <owner/repo>
- •Teams or individuals who need all-time and 24-hour trending install leaderboards
- •Teams or individuals who need works across major agent harnesses, not vendor-locked
- •Teams or individuals who need publisher aggregation so one org does not flood the board
- •Anyone focused on agent skills workflows
- •Anyone focused on directory workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Mastra and Skills.sh aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
This page ranks for "Mastra vs Skills.sh" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing to get a Featured badge, top placement in your category, and a permanent dofollow backlink — from $19/mo, cancel anytime.
Frequently Asked Questions
Is Mastra better than Skills.sh?
It depends on your needs. Mastra offers 6 key features including Agents, tools, and workflows as TypeScript primitives and Built-in observability: traces, metrics, and logs, while Skills.sh provides 6 features including One-command install: npx skills add <owner/repo> and All-time and 24-hour trending install leaderboards. Mastra uses a freemium model with a free tier, while Skills.sh is free with free access available. Choose based on which features and pricing model align with your requirements.
Is Mastra cheaper than Skills.sh?
Skills.sh doesn't have standard paid plans, while Mastra starts at The framework is open source and free. Hosted platform tiers exist on the pricing page but the tier table is rendered client-side and not readable from a plain fetch, so no figure is quoted here.. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Mastra and Skills.sh together?
Yes, many users combine Mastra and Skills.sh in their workflow. Mastra excels at agents, tools, and workflows as typescript primitives, while Skills.sh shines with one-command install: npx skills add <owner/repo>. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Mastra and Skills.sh?
While both are ai agent infrastructure tools, Mastra emphasizes agents, tools, and workflows as typescript primitives, whereas Skills.sh is known for one-command install: npx skills add <owner/repo>. The best choice depends on your specific workflow and feature priorities.
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