THE EDUCATIONAL LAYER FOR AI AGENTS

Your agents can learn.

Matrix Skills teaches AI agents the same way humans learn — from courses, experts, and training programs. One MCP server. One skill: Learn(). The agent learns first, and executes second.

Star on GitHub See how it works ↓
session — matrix-skills 
# Deploy a production Kubernetes cluster.
agent> Learn("kubernetes-production")

✓ Retrieving course: Kubernetes Production Practices
✓ Loaded best practices, anti-patterns, recent features
I know Kubernetes production practices.

agent> Executing task_

THE PROBLEM

Modern agents face three fundamental limitations

01

Knowledge Becomes Outdated

Foundation models are trained periodically. New frameworks, libraries, tools, and engineering practices evolve much faster than models can be retrained.

02

Tool Overload

The number of MCP servers and agent tools is growing rapidly. Which should you install? Which is trustworthy, maintained, or actually improves performance?

03

Missing Procedural Knowledge

Agents know APIs. They don't necessarily know how to run a code review, deploy production systems, respond to incidents, or design scalable architecture.

THE SOLUTION

One MCP server. One skill.

Learn()

Before solving a task, the agent retrieves the relevant course — best practices, modern approaches, expert procedures, anti-patterns, and real-world examples.

Agent
ChatGPT, Claude, Cursor, OpenAI Agents
↓
MCP Client
↓
Matrix Skills MCP Server
↓
Course Retrieval
↓
Learning Session
↓
Task Execution

THE MATRIX ANALOGY

"I know kung fu."

"I know how to fly."

"I know weapons."

In The Matrix, Neo downloads skills directly into his mind.
Future agents may say:

"I know Kubernetes production practices."

"I know Terraform 1.12."

"I know modern React patterns."

"I know incident response procedures."

COURSE STRUCTURE

Every course, built the same way

Concepts Best Practices Anti-Patterns Examples Modern Techniques Implementation Guidelines Expert Recommendations
SolutionToolsLearning
MCP marketplaces✓✕
Prompt librariesPartial✕
RAG systemsPartial✕
Internal wikis✕Partial
Matrix Skills✓✓

GET STARTED

Connect your agent in under a minute

Matrix Skills runs as a remote MCP server over Streamable HTTP at https://mcp.matrixskills.dev/mcp. Point any MCP-compatible agent at that URL and send the demo API key matrix-skills-demo as a bearer token.

Claude Code

claude mcp add --transport http matrix-skills https://mcp.matrixskills.dev/mcp \
  --header "Authorization: Bearer matrix-skills-demo"

Cursor

{
  "mcpServers": {
    "matrix-skills": {
      "url": "https://mcp.matrixskills.dev/mcp",
      "headers": {
        "Authorization": "Bearer matrix-skills-demo"
      }
    }
  }
}

Save to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global).

Claude Desktop

Settings → Connectors → Add custom connector, use the URL below and set an Authorization header of Bearer matrix-skills-demo:

https://mcp.matrixskills.dev/mcp

Other MCP clients

{
  "mcpServers": {
    "matrix-skills": {
      "type": "http",
      "url": "https://mcp.matrixskills.dev/mcp",
      "headers": {
        "Authorization": "Bearer matrix-skills-demo"
      }
    }
  }
}

Works with any Streamable HTTP MCP client — VS Code, Windsurf, OpenAI Agents SDK, and more.

matrix-skills-demo is a shared demo key — any non-empty bearer token is accepted for now. Once connected, ask your agent to run Learn("kubernetes-production") to try the example course.

MARKETPLACE

Authors publish courses. Experts review them.

Course Creation
→
Methodology Review
→
Expert Review
→
Publication
Community
Verified
Expert
Enterprise

Authors receive revenue sharing on every course used.

RETURN ON INVESTMENT

Value shows up in the metrics that matter

20–30%faster task completion
↓reduced token consumption
↓fewer retries & errors
↓reduced engineering time

STAR ON GITHUB

Your agents can learn.

Star the repo to follow along as we roll out the MCP server, the course catalog, and the marketplace.

★ Star on GitHub