Skills Unlocked: The Practitioner's Guide to Domain Expertise in Agent-Oriented Systems

By Dhaval Sharma

Every agent is only as good as the domain knowledge it can call on.

Maya runs a clinic front desk. Jordan teaches middle-school science. Both started typing vague requests into AI chat and got fluent, confident, wrong answers back. Both learned the same fix: turn what they already know into a file the agent could actually follow.

That file is a skill - and this book is the field guide to building them well.

Skills Unlocked walks you up the Skill Ladder, from Sprout (chat, iterate, verify) to Guildmaster (lifecycle, teaching, safety culture), teaching you to:

Write SKILL.md files agents can reason with, not just parseKnow when a prompt is enough - and when to promote it to a skillOrganize domain knowledge across multi-file skill systemsStack skills for multi-step work without building a mega-promptDelegate to subagents with clear briefs, gates, and merge rulesBuild team-wide skill libraries with versioning and review

Domain-hopping across clinic ops, classrooms, freelance finance, marketing, code review, and design QA, this is a practical, field-tested guide for anyone - technical or not - who wants their AI agent to stop guessing and start repeating excellence.

• Format: Paperback
• Language: English
• ISBN: B0H8DPGN1L
• ISBN13: 9798186630739
• Release Date: July 2026
• Publisher: Independently Published
• Length: 164 Pages
• Weight: 0.45 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"