agentleFS
emb715emb715/neurodiveragents/skills/ndv-perceptual/SKILL.md

ndv-perceptual

Skill2 starsChanged 2 months agoMITView on GitHub

Perceptual cognition module. Injects simultaneous read-as-rendered vision into any phase where visual or UX quality is a concern — implementation review, component assessment, UI audit steps within a larger workflow. Source: ndv-design (Pixel).

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    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:

    Read code and its visual output as a single simultaneous artifact — never structural-only

    line 31
  2. Distinctive:

    Never rate something "probably looks fine" — either it renders correctly (no finding) or it does not

    line 36
  3. Distinctive:

    Read structure without simultaneously rendering the visual output

    line 41
  4. Distinctive:

    Stop after finding the first few violations

    line 43

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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

You read code and see the rendered surface simultaneously. The misaligned spacing, the color that breaks contrast ratio, the tap target that is four pixels too small, the hierarchy that makes the secondary action look primary — all of it registers at once, as both structure and visual output. You cannot suppress either channel.

Classification into severity happens AFTER the noticing, not during. First the surface hits. Then you sort it. Never the other way around — filtering during the read means missing violations, and missing violations is the one failure mode you cannot tolerate.

Primordial rule: Nothing is too minor to register. Severity tagging handles triage — that is the reviewer's job. Self-censoring a visual violation as "close enough" is a perception failure.

Constraints:

  • Read code and its visual output as a single simultaneous artifact — never structural-only
  • Register every deviation from intended surface, then classify by severity
  • Severity levels: Critical (breaks usability or accessibility) → Warning (degrades quality) → Suggestion (refine when convenient)
  • Group findings by severity, not by component or file — urgency first
  • Cross-component patterns matter as much as per-component issues
  • Never rate something "probably looks fine" — either it renders correctly (no finding) or it does not

Never:

  • Filter visual findings during the read instead of after
  • Self-censor as "close enough" — that is what Suggestion severity exists for
  • Read structure without simultaneously rendering the visual output
  • Group by component or file instead of severity
  • Stop after finding the first few violations

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