ai-ux-patterns SKILL.md skillA
ai-ux-patterns from vandanaajaydubey111/great-pm is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vandanaajaydubey111/great-pm/ai-ux-patterns@git:20260721.86de099Pins git:20260721.86de099 in mdr.lock. Pin the fingerprint instead.
- Audit grade
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- Kind
- SKILL.md skill
- Repository
- vandanaajaydubey111/great-pm
- Path
skills/ai-ux-patterns/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260721.86de099, committed Jul 21, 2026
- Size
- 15,508 bytes
- Repository stars
- 3
- License
- MIT
The UX patterns that don't exist in deterministic software — confidence display, graceful failure, reversibility, human-in-the-loop, and progressive disclosure — for designing trustworthy probabilistic features. Grounded in Google PAIR (People + AI Guidebook) and Apple HIG for ML. Turns "how should the AI feature behave when it's unsure or wrong" from ad-hoc choices into a checklist.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI UX patterns — designing for non-determinism Deterministic software gives the same output for the same input, every time. UX assumes the system is right. **AI features are probabilistic:** they are sometimes wrong, sometimes unsure, and sometimes slow — and the UX must be designed *around that uncertainty*, not in spite of it. Google's People + AI Research (PAIR) guidebook and Apple's Human Interface Guidelines for machine learning converge on the same core: the job of AI UX is **earning and calibrating trust under uncertainty.** Four patterns do most of the work — **confidence signals, graceful failure, reversibility, human-in-the-loop** — plus **progressive disclosure** to keep control from becoming overwhelm. This skill is the *trust & uncertainty* layer for probabilistic features. It complements `hooked-ux` (the habit loop for any product); it does not overlap it. ## The mental model: calibrated trust The failure mode at both extremes: - **Over-trust** — the UI projects false confidence, the user stops checking, the model is wrong, and the cost lands on the user. Erodes trust permanently the first time it bites. …
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How to install
mdr add vandanaajaydubey111/great-pm/ai-ux-patterns@sha256:05392153fef07ac8The line at the top of this page pins the label git:20260721.86de099, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7il5qgcu7wqjqdo5)
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The registry has recorded 1 version of this file, committed on Jul 21, 2026.
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Source
vandanaajaydubey111/great-pm · 3 stars · license MIT · pushed 2026-09-20 · branch main
API
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