bias-detection-design
Designing review workflows to surface and mitigate bias in AI outputs.
Designing around token limits, memory, and conversation persistence.
$ npx -y skills add owl-listener/ai-design-skills --skill context-window-design --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/context-window-designContext preview
The summary Claude sees to decide when to auto-load this skill.
Designing around token limits, memory, and conversation persistence.
name: context-window-design description: Designing around token limits, memory, and conversation persistence.
Every AI model has a finite context window. Designing within this constraint — and designing the user experience around it — is a core skill for AI product design.
The context window is not just a technical limitation. It's a design material:
Designers must understand context window allocation to design reliable experiences.
Users expect AI to remember. Design for different memory horizons:
Part of the Designer Skills suite. Install this collection and four more with one command in Claude Code: /plugin marketplace add Owl-Listener/designer-skills This repo still works on its own. The suite just gives everyone one front door.
Designing review workflows to surface and mitigate bias in AI outputs.
Designing for informed user consent, opt-out, and human override.
When and how AI should escalate to humans, refuse, or ask for clarification.
Defining behavioral boundaries — what the AI should and shouldn't do.
Proactively identifying failure modes, misuse, and unintended consequences.
Showing users what the AI knows, doesn't know, and how confident it is.