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Agent Skill design knowledge base — mechanisms, philosophy, patterns, pitfalls.
Passed 22 of 22 test cases with the skill, and 16 of 22 without it.
and 5 more in the full report
6 fixed16 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have a massive system prompt file containing dozens of strict rules for my technical documentation AI, but the model frequently ignores instructions or acts confused. I want to reorganize this into an agent skill architecture. Please evaluate my current setup, explain how to split and structure the domain knowledge into modular skills, and provide a refactored directory structure that keeps project configuration light while separating identity from behavioral guidelines.
| Checked | Without skill | With skill |
|---|---|---|
| Specifies YAML frontmatter enclosed in triple dashes. | Passed | Passed |
| Recommends separating persona from behavioral protocols into distinct skills. | Missed | Passed |
| Advises framing guidance as reasoning principles rather than imperative rules. | Missed | Passed |
The instructions your model reads when the skill loads.
The complete knowledge system for Agent Skills. Not a how-to guide (that's what official docs are for) — this focuses on three things: why Skills are designed the way they are, what good design looks like, and where the common pitfalls are.
Any work involving Skills — creating, adjusting, reviewing, splitting, merging — should use this as the decision framework.
| Level | Understanding | What You Can Do | Common Issue |
|---|---|---|---|
| Surface | "Skills are a way to make AI remember instructions" | Write syntactically correct Skills | Treats Skills as fancy System Prompts |
| Mechanical | "Skills implement Progressive Disclosure" | Understands trigger mechanism and load flow | Technically correct but poorly designed |
| Essential | "Skills externalize knowledge into a format that AI can actively discover and load on demand" | Design Skills that actually work | — |
Level 1: metadata (name + description, ~100 tokens)
→ Present from session start, always in context
→ The only thing AI uses to decide whether to load a Skill
Level 2: SKILL.md full content (<5k tokens)
→ Loaded only when AI judges it relevant
test cases passed, vs 16 / 22 without
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