Prompt Caching: Design for Reuse
•3 min read
Structure prompts to maximize Anthropic's prompt caching, reducing costs by 90% and latency by 85% for repeated context.
Give AI Agents the Map First
•3 min read
AI agents work better when they see the full structure upfront, then make targeted requests. How to use progressive disclosure for efficient context management.
Context Escape Velocity
•3 min read
How to recognize when your conversation has grown too large to be effective, and what to do about it.
Model Context Protocol: Connecting AI to Your Tools
•3 min read
MCP provides a standardized way for AIs to interact with tools, from Figma to your calendar to custom workflows you build yourself.
Prompting Techniques That Actually Work
•5 min read
Five prompting techniques that improve LLM outputs: few-shot learning, chain-of-thought reasoning, XML structure, output constraints, and prompt chaining.
Progressive Disclosure in Agent Skills
•1 min read
The architectural pattern that makes Agent Skills scalable: load only what's needed, when it's needed.
Building Agent Skills: A Practical Guide
•4 min read
Anthropic's Agent Skills let you equip Claude with specialized capabilities through reusable skill packages. Here's how to build them.