Claude Skills + Subagents Masterclass.
The deep dive on Anthropic's Claude Skills and Subagents. Configure behaviors, parallelize work, ship agentic workflows that actually use what 2026's frontier models can do.
What you will learn
Design Skills that configure behaviors cleanly
Parallelize work with Subagents (not just sequential chains)
Wire Skills + Subagents + MCP for real production patterns
Eval and observability for Claude-based agents
Curriculum
5 modules · 14 lessons · 2.8 hr · the first 2 lessons are free, no email gate.
A Claude Skills and Subagents masterclass should teach you to configure Claude behaviors with Skills, parallelize work with subagents, wire Skills, subagents, and MCP together for production, and add evals and observability. Claude agents get most of their leverage from how you shape behavior and split work, not from longer prompts, so the skill is deciding what belongs in a Skill, what belongs in a subagent, and what a tool should do. The path starts by learning what Skills are and configuring reusable behaviors, instructions, and constraints Claude loads when it needs them. You then design subagents that take a scoped task, run it in their own context, and return only the result, so the main agent stays focused and work runs in parallel. Next you wire Skills, subagents, and MCP together so agents reach real tools and data through deliberate, reviewable boundaries. Finally you add evals and observability, inspecting decisions, tool calls, failures, and output quality across real cases before shipping.
Machine Learning Architect and Full Stack Engineer building practical AI agent workflows for business teams. 10+ years shipping production ML across TensorFlow, PyTorch, AWS, and GCP. Active open-source AI contributor - and the person who ships every A8gent agent before it becomes a lesson.
Read moreWhy this course matters
Claude agents get most of their leverage from how you shape behavior and divide work, not from longer prompts. Knowing what belongs in a Skill, what belongs in a subagent, and where MCP fits is what separates a production agent from a clever demo.
How the course works
01Configure behaviors with Skills
02Parallelize work with subagents
03Wire in MCP
04Add evals and observability
Who this course is for
Builders, engineers, AI-savvy PMs. If that is you, this course turns the topic into something you can actually ship and run, not just watch.
Mistakes this course helps you avoid
- Stuffing everything into one prompt instead of using Skills.
- Spawning subagents for work that does not need isolation or parallelism.
- Granting broad MCP access before permissions and risk are clear.
- Shipping on vibes without evals or trace review.
- Building multi-agent systems before one agent works reliably.
Course FAQ
When should I use a subagent instead of a Skill?
Use a Skill to shape how Claude behaves on a task. Use a subagent when work should run in its own context or in parallel and return only a result.
Do I need MCP for this?
Only when agents must reach real tools or data. MCP gives Skills and subagents a standard, permissioned way to act, but many workflows start without it.
Who is this course for?
Builders, engineers, and AI-savvy product managers who want to run Claude agents in production rather than prototype in a chat window.
What exactly is a Claude Skill?
A Skill is a packaged set of reusable instructions, constraints, and context that Claude loads when a task needs it, rather than being crammed into every prompt. It shapes how the agent behaves on a specific kind of work, such as following a house style or a review checklist. Skills keep behavior consistent and let you update it in one place instead of editing prompts everywhere.
Do I need to code to take this masterclass?
You should be comfortable with technical concepts and configuration, since the class covers wiring Skills, subagents, and MCP into production. It is not a pure no-code course, but much of the leverage comes from how you structure behavior and split work rather than heavy programming. Product-minded builders who can read and reason about configuration will keep up.
How many subagents should a system have?
As few as the work genuinely needs. Spawn a subagent only when a task should run in its own context or in parallel and return just a result, such as a scoped research or extraction job. Adding subagents to work that does not need isolation only adds coordination cost and failure surface, so prove one agent works before splitting it up.
Where does MCP fit with Skills and subagents?
MCP is how agents reach real tools and data through a standard, permissioned boundary, while Skills shape behavior and subagents divide work. You reach for MCP only when the agent must act on external systems, and you scope its access before granting it. Many workflows start with Skills and subagents alone and add MCP once real tool access is required.
How do I know an agent is ready to ship?
It passes evals on real cases, you have reviewed traces of its decisions and tool calls, and its permissions and failure paths are defined. Shipping on vibes without evals or trace review is the fastest way to ship a fragile agent. The masterclass treats evaluation and observability as the gate between a clever demo and a production agent.
Get the course. Ship the agent. Refund if we're wrong.
7-day money-back. One email, no forms, refunded in 24 hours.