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ai-ui-heuristics

Skill4 starsChanged 3 months agoApache-2.0View on GitHub

Nielsen's 10 usability heuristics and Don Norman's 7 principles, reinterpreted for AI-native interfaces. Use when evaluating, auditing, or reviewing the UX of any AI-powered application. Each heuristic includes the AI-specific interpretation, a common failure mode, and a concrete fix. Triggers on: "heuristic evaluation", "Nielsen heuristics", "UX audit", "review this AI UI", "is this good design", "Don Norman principles".

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not require users to remember across screens, decide more than once per screen, track >4–7 competing items, or learn a new interaction …

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≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

AI UI Heuristics

Nielsen's 10 heuristics and Don Norman's principles, reinterpreted for AI-native interfaces. Keep this file as the audit entrypoint; depth lives in references/.

Sources: Nielsen Norman Group — Ten Usability Heuristics; Don Norman, The Design of Everyday Things.

Fast pass (ship blockers)

  1. Status — User knows AI is working (ambient > spinner-only).
  2. Control — Stop, undo/version, inline edit within 2 taps.
  3. Hero — Output owns ~80%+ of the canvas; one primary CTA.
  4. Recovery — Failures explain what / why / next step; keep partials.
  5. Fallback — Core job works when AI is unavailable.

Heuristic snapshot

#HeuristicAI ask
H1Visibility of statusProcessing, agent, confidence, ETA visible
H2Real-world matchDomain language; hide model knobs
H3User controlStop, edit, undo, versions
H4ConsistencyPredictable format or explained variation
H5Error preventionValidate + cost + confirm high-risk
H6Recognition > recallActions + examples, not memorized prompts
H7FlexibilityShortcuts, templates, batch for power users
H8MinimalistContent hero; contextual chrome
H9Error recoveryPlain language + fix path
H10HelpIn-context tips and examples

Norman lens: discoverability, feedback, conceptual model, affordances, signifiers, mapping, constraints — see references/norman-principles-ai.md.

Cognitive load check

Do not require users to remember across screens, decide more than once per screen, track >4–7 competing items, or learn a new interaction model only for AI.

Reference Map

  • references/nielsen-10-ai.md — each heuristic with symptoms and fixes
  • references/norman-principles-ai.md — Norman's principles applied to AI UI
  • references/audit-checklist.md — printable Pass / Partial / Fail audit

Related Skills

  • For calm technology test → use calm-technology-ui
  • For common failure catalog → use ai-ui-anti-patterns
  • For generative UI patterns → use ai-native-ui-design
  • For multi-agent UI → use agentic-ui-patterns

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