skillstested.com
Skill paths / Landing page → visual QA
Evidence-backed skill path · v1

Landing page audit, anti-slop pass, and OG brief

PARTIAL EVIDENCE

Use hallmark for judgment, kill-ai-slop for mechanical recall, and visual-skills for a model-specific social-card brief.

OUTCOMEA prioritized design audit, confirmed anti-pattern report, proposed correction list, and an implementation-ready OG image brief.

Bring

  • Public URL, local page, or repository
  • Page purpose and intended audience
  • Declared design genre or design-system constraints

Receive

  • Severity-ranked visual audit
  • Scanner report with human-confirmed findings
  • Correction checklist
  • Model-routed 1200×630 OG image brief

The path and every handoff

  1. Audit with judgment hallmark
    FUNCTION VERIFIED

    Find hierarchy, genre, typography, and macrostructure problems that mechanical rules cannot judge.

    Input
    Rendered page plus its audience, purpose, and declared design genre
    Instruction
    Use hallmark's audit verb and record each finding as what, where, severity, and proposed fix without editing the page yet.
    Output
    hallmark-audit.md human confirmation
  2. Scan and confirm anti-patterns kill-ai-slop
    FUNCTION VERIFIED

    Catch mechanical regressions quickly, then separate true problems from design-system exemptions and scanner self-matches.

    Input
    Page source and declared design-system exemptions
    Instruction
    Run the bundled scanner, retain raw hits, and complete its required human-confirm step before proposing fixes.
    Output
    anti-slop-report.md human confirmation
  3. Brief the social card visual-skills (video + image)
    FUNCTION VERIFIED

    Choose an image model based on the content and convert the approved page direction into a constrained OG prompt.

    Input
    Approved brand direction, exact copy, palette, and 1200×630 use case
    Instruction
    Follow visual-skills' mandatory model-routing reference before producing the five-slot image brief with exact-text constraints.
    Output
    og-image-brief.md human confirmation
  4. Verify the corrected page and OG asset Verification or human checkpoint
    UNVERIFIED

    Check that fixes did not introduce regressions and that the final image meets its dimensions and copy contract.

    Input
    Corrected page and generated OG image
    Instruction
    Re-run mechanical checks, capture responsive screenshots, run basic accessibility checks, and inspect OG dimensions, text, and safe margins.
    Output
    before-after report and final-og.png human confirmation

Result you can inspect now

EVIDENCE REPLAY Three design skills applied to the same live homepage
2026-07-25

What this proves: hallmark produced a severity-ranked audit, kill-ai-slop ran its scanner and human-confirm pass, and visual-skills produced a model-routed 1200 by 630 social-card brief for the same page.

What it does not prove: Applying the proposed fixes, generating a final OG image, repeated-run consistency, or measuring quality gain against a no-skill baseline.

  • hallmark: 0 critical, 1 major, 3 minor findings before genre confirmation
  • kill-ai-slop: 30 raw hits across 3 groups, about 1 surviving human confirmation
  • visual-skills: one structured GPT Image social-card brief

Open the full source record →

Known limits

Next verification required: Freeze one deliberately flawed landing page, record a no-skill baseline, apply all three stages, publish before and after screenshots plus a real OG image, and repeat the run three times.

Implementation pack

The pack is generated from this path record and the tested-skill source data. Install commands, commits, evidence status, handoffs, and limitations stay attached to the plan.