new preso
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@@ -8,7 +8,7 @@ Skills: Teaching AI How to Think
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Lazy-loaded expertise for efficient, reliable agents
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<!-- speaker_note: Title slide. Core message: skills make agents both smarter AND cheaper to run. -->
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@@ -61,7 +61,6 @@ You have two bad options:
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Neither is acceptable.
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===
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<!-- speaker_note: Set up the tension. Everyone building agents hits this wall. -->
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@@ -98,7 +97,6 @@ graph TD
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**SKILL.md is the brain. Everything else is optional.**
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<!-- speaker_note: The SKILL.md IS the SOP. Scripts and templates are scaffolding. -->
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@@ -151,7 +149,7 @@ graph LR
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**10 skills × 2,000 tokens = 20,000 always loaded → ~500 base + 2,000 on demand**
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<!-- speaker_note: This is the efficiency win. 10x reduction in baseline context. Analogy: a pro doesn't carry every manual — they know which shelf to reach for. -->
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@@ -209,7 +207,7 @@ The SKILL.md **is** the standard operating procedure.
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**Runbook vs. "figure it out"**
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<!-- speaker_note: This is the reliability win. Same request, wildly different outcomes. Like giving a junior engineer a runbook vs saying figure it out. -->
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@@ -254,7 +252,6 @@ graph LR
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Tools without skills = workshop full of power tools, no training
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<!-- speaker_note: All three layers are needed. Tools are hands, prompts are personality, skills are expertise. -->
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@@ -283,7 +280,7 @@ Real-World Examples
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* **Skill Creator** 🏗️ — A meta-skill: a skill for *building skills*. Encodes the structure, best practices, and packaging conventions.
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<!-- speaker_note: Range from trivial to deeply complex. The ST skill is a great example of tribal knowledge capture. -->
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@@ -344,7 +341,7 @@ graph LR
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style F fill:#ffd93d,stroke:#333,color:#000
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```
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<!-- speaker_note: This is the strategic argument. Skills aren't just operational convenience — they're knowledge management that actually works. -->
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@@ -373,5 +370,5 @@ Capture knowledge. Scale it. Share it.
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🎯
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<!-- speaker_note: Closing. The question isn't whether your agents need skills — it's what expertise you'd encode first. -->
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