13. Teaching Claude New Tricks (Encapsulating Knowledge with Agent Skills)

13. Teaching Claude New Tricks (Encapsulating Knowledge with Agent Skills)

Episode 13: Claude Skills — Turning SOPs into Executable Workflows

In Episode 13 of Beyond Prompting, we unlock one of the most powerful—and overlooked—capabilities in modern AI workflows:

turning your team’s standard operating procedures into executable systems.

This is where AI stops waiting for instructions… and starts knowing what to do.

We introduce Claude “Skills”—a structured way to encode repeatable processes so they can be triggered and executed automatically. No more re-explaining the same tasks. No more inconsistent outputs across team members.

At the center of this system is the SKILL.md file.

You’ll learn how to design it properly, including why the YAML frontmatter and carefully crafted trigger descriptions are critical. Done right, Claude can recognize intent and invoke the correct workflow without you explicitly telling it what to do.

This is not prompting. This is orchestration.

We then go deeper into the architecture that makes it scalable:

Progressive Disclosure.

A three-layer system that ensures Claude only loads detailed instructions, reference materials, and scripts when they are actually needed. The result is a system that is both powerful and efficient—keeping token usage under control while still enabling complex, multi-step execution.

Finally, we show how to take this beyond individual use.

You’ll learn how to build a centralized Skills Library—a shared layer of operational intelligence that anyone in your organization can use. With it, even complex workflows like security audits, deployment pipelines, or structured analysis tasks can be executed through simple natural language.

This is how teams scale AI safely.

Not by relying on individual expertise—but by encoding it into systems that anyone can use.

If you want to move from ad-hoc prompting to fully structured, reusable AI workflows, the full framework is covered in the book.

Get your copy of Beyond Prompting here:
https://www.amazon.com/dp/B0GQVHJRGB

Because once your workflows become executable, AI stops being a tool—and becomes part of how your organization operates.

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20. Teams, Sessions and Worktrees (Four Ways to Run AI Work in Parallel)

20. Teams, Sessions and Worktrees (Four Ways to Run AI Work in Parallel)

In Episode 20 of Beyond Prompting, author Sho Shimoda clarifies how to run multiple AI tasks concurrently without getting tangled in state or disk conflicts. While Chapter 19 focused on subagents, Cha...

16 Loka 35min

19. Preventing Context Pollution with Subagents (Delegating Heavy Lifting)

19. Preventing Context Pollution with Subagents (Delegating Heavy Lifting)

In Episode 19 of Beyond Prompting, author Sho Shimoda explores how to manage complex, search-heavy engineering tasks without cluttering your main conversation window using Subagents. When an agent rea...

14 Loka 52min

18. Packaging and Distributing Workflows (Plugins and Marketplaces)

18. Packaging and Distributing Workflows (Plugins and Marketplaces)

In Episode 18 of Beyond Prompting, author Sho Shimoda explores how to bundle your team's custom skills, commands, subagents, hooks, and MCP server configurations into a single, installable unit using ...

12 Loka 29min

17. Connecting Systems with MCP (The Stateless Wire Protocol)

17. Connecting Systems with MCP (The Stateless Wire Protocol)

In Episode 17 of Beyond Prompting, author Sho Shimoda breaks down the Model Context Protocol (MCP)—the open standard that connects Claude Code to external systems like ticket trackers, wikis, and data...

11 Loka 47min

16. Packaging Standard Operating Procedures (Agent Skills)

16. Packaging Standard Operating Procedures (Agent Skills)

In Episode 16 of Beyond Prompting, author Sho Shimoda breaks down how to turn your team's recurring instructions and workflows into executable Agent Skills. Rather than re-explaining multi-step proced...

9 Loka 50min

15. Prompt Caching and Durable State (The Economics of Context and Memory)

15. Prompt Caching and Durable State (The Economics of Context and Memory)

In Episode 15 of Beyond Prompting, author Sho Shimoda breaks down prompt caching—the single largest cost lever in the Claude Code ecosystem—and demonstrates how to manage long-term project memory. We ...

5 Loka 48min

14. Memory, Compaction and Checkpoints (Managing Context in Long Sessions)

14. Memory, Compaction and Checkpoints (Managing Context in Long Sessions)

In Episode 14 of Beyond Prompting, author Sho Shimoda breaks down how to manage context budgets and session state when conversations run long. We examine the three core mechanisms that control what Cl...

4 Loka 45min

13. Curing AI Amnesia (CLAUDE.md and Rules)

13. Curing AI Amnesia (CLAUDE.md and Rules)

In Episode 13 of Beyond Prompting, author Sho Shimoda breaks down how to configure persistent repository instructions using CLAUDE.md and rule files. Rather than treating CLAUDE.md as a generic style ...

30 Syys 46min