Tagged: context-design

2 entries

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The best way to build a skill.md: start with AI, finish with humans | GitBook Blog

The article argues that the most effective workflow for creating skill.md files (structured instruction files for AI agents) combines AI-generated drafts with human refinement. It contrasts purely automated generation, which lacks nuance and product-specific judgment, with fully manual creation, which is time-consuming. The recommended hybrid approach leverages AI for structure and speed while relying on human expertise to add the contextual knowledge that makes AI agents actually effective.

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Why chatbots are not the future of interfaces

Amelia Wattenberger argues that chat interfaces are poorly designed for most use cases because they lack affordances, force users to articulate context that should be built into the interface, and isolate responses without enabling iterative refinement. She advocates for UI patterns that expose parameters and constraints upfront rather than burying them in natural language prompts.