AI Skills in Practice

In this series

1. 1 AI Skills in Practice: What Are AI Skills (And Why Prompting Isn't Enough) 7 min read

   You have been typing instructions into AI assistants one conversation at a time. Skills flip that model — they turn your best prompts into reusable, structured workflows that any team member can run. This post explains the shift from ad-hoc prompting to skill-driven development.

2. 2 AI Skills in Practice: Context Is the Skill 9 min read

   Every AI assistant starts each conversation knowing nothing about your project. Context files change that — they encode your stack, conventions, and constraints so the AI works with your codebase instead of against it. This post shows how to build the foundation layer that makes every skill smarter.

3. 3 AI Skills in Practice: Anatomy of a Skill 11 min read

   A skill is not a long prompt. It is a structured workflow with a trigger, a prompt body, references, and an output contract. This post breaks down each component, shows how they interact, and explains the design decisions that separate skills that work from skills that frustrate.

4. 4 AI Skills in Practice: Building Your First Skill 9 min read

   You have used AI skills. Now you build one. This post walks through the complete process: identifying a repetitive workflow, extracting it into a structured skill, testing it against real work, and iterating until it reliably produces quality results.

5. 5 AI Skills in Practice: Composing Skills — Agents, Hooks, and Pipelines 9 min read

   A single skill handles a single workflow. But real development involves chains of workflows — review then fix then test then commit. This post covers composition patterns: how skills delegate to other skills, how hooks automate triggers, and how pipelines chain skills into end-to-end workflows.

6. 6 AI Skills in Practice: Skill Patterns for Real Workflows 13 min read

   Four complete skill definitions for workflows developers actually do every day — debugging, code review, technical writing, and deployment. Each pattern is tool-agnostic, tested in production, and ready to adapt to your own projects.