Context Design for Claude Skills: What to Include or Cut
Design prompt and context for Claude Agent Skills: what belongs in context, what to leave on disk, and why lean context makes sharper, cheaper agents.
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Design prompt and context for Claude Agent Skills: what belongs in context, what to leave on disk, and why lean context makes sharper, cheaper agents.
Connect MCP servers to Claude Skills the right way: authentication, tool schemas, structured error handling, and idempotency for safe retries.
Reusable code-level patterns for Claude Agent Skills: router descriptions, script-offload, reference-doc tiers, and clean context contracts.
A hands-on walkthrough for building, testing, and shipping a Claude Agent Skill — folder layout, SKILL.md, bundled scripts, and debugging triggers.
Inside Claude Agent Skills: progressive disclosure, the metadata index, and how Skills differ from prompts, Projects, MCP, and subagents.
Businesses often ask for reviews too late or not at all. Learn how AI chat and voice agents trigger review requests at the right moment in the customer journey.
In-Context Learning (ICL): How Modern LLMs Learn Without Retraining
How agentic AI systems manage data center cooling, power distribution, workload placement, and PUE optimization across global cloud infrastructure in the US, EU, Singapore, and Middle East.
How agentic AI systems automate lab experiments, analyze research data, conduct literature reviews, and generate hypotheses to accelerate discovery in research labs worldwide.
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