Skills.md from Scratch: Build a Skill-Driven Coding Agent
Continue with the workshop writeup
Open the canonical pages, recording, materials, and code repo.
A newer, combined version of this workshop is available: Coding Agent with Skills.
We start from the coding agent in the prerequisite workshop. We turn it into a general-purpose coding agent with two reusable behavior layers: skills and slash commands. The agent loads a skill when your request matches its description. You invoke a command with a leading slash, and the system renders it into a prompt before the agent acts.
Links
External resources for this workshop:
- Starting notebook
- GitHub fetch skill
- Prototype implementation
- Prerequisite coding-agent workshop
- ToyAIKit
- OpenCode
- OpenCode skills documentation
- AgentSkills spec
The agent you will build
By the end you'll have built a system that looks like this:
The project stays small enough to understand in a notebook, but it mirrors
the pieces used by real coding agents. The coding tools let the model read,
write, search, and run commands. The skill loader turns SKILL.md files with
YAML frontmatter into tool-loadable instructions. The command loader turns
markdown files like review.md or test.md into reusable prompt templates.
Hosted by
Alexey Grigorev
Chief Agent Officer at AI Shipping Labs
Software engineer and machine learning practitioner with 15+ years of experience building production ML systems. I focus on practical, production-grade ML and AI systems, from early prototypes to reliable systems in production.
I'm the founder of DataTalks.Club, a free community that connects tens of thousands of practitioners worldwide, and the creator of the Zoomcamp series, free, code-first programs that have reached 100,000+ learners globally.
At AI Shipping Labs, I'm building the kind of environment that would have accelerated my own career growth. After years of teaching at scale, I wanted something more focused: a space for action-oriented builders who want to turn AI ideas into real projects. The community gives members the structure, accountability, and peer support to ship practical AI products consistently, even alongside their main jobs.