fastowl2049-9v4y5 GitHub avatar

human-in-the-loop-design

fastowl2049-9v4y5

This repository provides a skill for designing human-in-the-loop (HITL) features in AI products, focusing on gates, UX, metrics, and failure modes.

Stars

3

7-day growth

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Forks

1

Open issues

0

License

MIT

Last updated

2026-07-30

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It offers a structured approach to a critical but often overlooked aspect of AI product development—ensuring humans remain in control through explicit gates and oversight metrics.

Who it is for

  • AI product managers
  • UX designers building AI features
  • ML engineers implementing human oversight
  • Quality assurance teams for AI systems

Use cases

  • Designing decision gates for AI model outputs to require human approval
  • Defining UX patterns for human intervention during AI failures
  • Establishing metrics to monitor and improve HITL effectiveness
  • Planning failure mode handling for AI features

Strengths

  • Focused on practical HITL components (gates, UX, metrics, failure modes)
  • Provides a decision map and oversight metrics as concrete outputs
  • Simple install via npx skills add with MIT license
  • Part of a larger skills ecosystem for extensibility

Considerations

  • Very minimal documentation; the README gives only a high-level overview
  • Requires familiarity with the parent skills framework (npx skills add workflow)
  • No visible examples or detailed guidance in the README itself

README quick start

Human-in-the-Loop Design

HITL design for AI product features: gates, UX, metrics, failure modes.

中文简介： AI 功能 HITL：闸门、UX、度量、失败模式。 — README.zh.md.

What this skill does

  • Decision map and oversight metrics

Install

npx skills add / --skill human-in-the-loop-design

Local skills/human-in-the-loop-design/. Default lang=en. See SKILL.md.

Example

../../output/samples/human-in-the-loop-design-example-01.md

License

MIT

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