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Keep shoppingAgent Skills for Enterprise: Build, Govern & Secure
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121 students
Agent Skills for Enterprise: Build, Govern & Secure
Not how to build one agent — how to safely run a hundred capabilities. Design, version, govern & secure Agent Skills.
Created byDr. Amar Massoud
Last updated 7/2026
English
What you'll learn
- Explain what an Agent Skill is and how progressive disclosure separates knowledge from execution.
- Author a well-bounded, single-responsibility SKILL Markdown file with frontmatter, triggers, and bundled scripts.
- Write skill descriptions that trigger reliably and avoid collision with other skills.
- Apply semantic versioning, deprecation policy, and changelogs to evolve a skill without breaking callers.
- Test and validate skills with eval harnesses, regression checks, and golden tasks.
- Stand up a skill registry with storage, indexing, tagging, search, and ownership.
- Design a governance model with RACI, vetting pipelines, and approval gates.
- Scope least-privilege permissions and build audit trails and observability for skill execution.
- Threat-model a skill supply chain against prompt injection, malicious scripts, and data exfiltration.
- Detect a malicious skill through static analysis and enforce provenance, signing, and allowlists.
- Design an enterprise rollout with CI/CD, adoption metrics, cost tracking, and incident response.
- Deliver a complete governed skill platform in a two-part capstone.
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Course content
9 sections • 45 lectures • 5h 10m total length
Requirements
- Comfortable with the command line and basic Git (clone, commit, branch).
- Working knowledge of at least one programming language; examples use Python.
- Docker Desktop (free for personal use) or Rancher Desktop installed — one command brings up all labs.
- Basic familiarity with LLMs or AI agents (what a prompt is); deep ML background not required.
- No paid API keys or cloud accounts needed — labs run locally with a free Ollama + Qwen 2.5 model.
- ~8 GB RAM recommended for the optional local model (labs also run in a --no-llm mode).
Description
This course contains the use of artificial intelligence.
Everyone is teaching you to build one agent. Nobody is teaching you to run a hundred capabilities safely.
The market is full of agentic-AI courses that walk you through wiring up a single agent with LangGraph, CrewAI, or MCP — and then stop. But the moment your organization has 40 teams shipping their own agent capabilities, the hard problem isn't building; it's governing and securing capability sprawl at scale. This is the only course built for that reality.
Agent Skills are modular, reusable capability packages — a SKILL Markdown file file, frontmatter, and bundled scripts — that an agent loads just-in-time through progressive disclosure. They're powerful precisely because anyone can write one and drop it in. That's also exactly why they're dangerous: an untrusted skill is untrusted code and untrusted prompts running inside your agent. This course teaches you to build them well, catalog them, put governance gates in front of them, and defend the supply chain that delivers them. What you'll learn
What an Agent Skill actually is — and how progressive disclosure separates knowledge from execution.
How to author a well-bounded, single-responsibility, correctly-triggering skill that never bloats your context window.
Semantic versioning, deprecation, changelogs, and eval harnesses so a skill can evolve without breaking every caller.
How to stand up a skill registry with discovery, tagging, ownership, and catalog hygiene.
A real governance model: RACI, vetting pipelines, least-privilege permissions, and audit trails.
Supply-chain security — the lethal trifecta, the OWASP LLM Top 10, and how to spot and block a malicious skill.
Why this course is different
Framework-centric courses optimize for a demo: one agent, one happy path. Enterprises fail somewhere else entirely — in the sprawl, the provenance, the review gates, and the incident response. We follow Northwind Cloud, a 1,500-engineer B2B SaaS company, from prompt sprawl to a fully governed internal Skills platform, so every concept lands on a concrete organizational problem instead of a toy. 100% hands-on, 100% free to run
Seven hands-on labs run entirely in Docker containers with a local Ollama + Qwen 2.5 model. No paid API keys, no cloud accounts, nothing that can start billing you. One docker compose up brings up the whole environment, and every lab also runs in a deterministic --no-llm mode so hardware is never a blocker. You'll build your first skill, version it v1→v2, publish it to a registry, wire a vetting gate, detect a malicious skill and harden deployment, and finish with a two-part capstone.
Who it's for
Enterprise software engineers, platform and AppSec engineers, and technical leads who are past "hello world" and now have to make agent capabilities safe, discoverable, and governable for many teams. If you've ever watched your org copy-paste the same agent prompt into ten repos with no catalog and no review — this course is for you.
By the end, you'll be able to design, version, catalog, govern, and secure an enterprise Agent Skills platform end-to-end — the difference between running one agent and safely running a hundred capabilities.
Who this course is for:
- Enterprise software engineers who need to make agent capabilities safe and reusable across teams.
- Platform and DevOps engineers standing up internal AI/agent tooling and registries.
- Application-security and AppSec engineers responsible for vetting third-party skills and supply-chain risk.
- Technical leads and staff engineers designing governance for agent capabilities at scale.
- Engineering managers and architects planning an enterprise Agent Skills rollout.
- Developers who've built a single agent and now face capability sprawl across many teams.