A screenshot diff is an observation, not a defect verdict. Fonts, viewport, data, animation, browser rendering, and intentional design changes all determine whether the comparison is meaningful.

Why this Skill is needed

The Visual Regression Testing Skill designs VRT-## candidates around baselines, viewports, fonts, data, diff thresholds, intentional changes, and prior diffs. It does not execute visual tests or turn a baseline file into pass evidence.

What the Skill does

A meaningful visual diff needs a controlled baseline and an intentional-change decision.

Use this Skill to define visual regression candidates and comparison conditions for pages or components. It makes selection rationale, applicability, evidence gaps, and the smallest validation action explicit.

A good VRT finding names the visual subject, baseline version, viewport and browser, font and data conditions, expected change, diff concern, owner, close condition, and validation method.

Use it when a design-system change, responsive layout change, localization update, or screenshot pipeline needs a defensible visual comparison.

What it does not do

The Visual Regression Testing Skill can organize material, evidence, and next actions for Visual candidate. It does not replace:

  • Confirmation of rules, scope, and risk by the accountable domain owner.
  • A real environment, account, dataset, log, or run record; static analysis does not become runtime evidence by itself.
  • Authorization for release, compliance, production actions, or residual-risk acceptance.
  • A Human decision when supplied sources conflict.

What it checks

The value of this Skill is not another keyword list. It connects each focus area to an observable input, a judgment, and a way to close the loop. Start with a small matrix based on the source Skill’s output contract:

FocusQuestion before analysisHandoff output
Visual candidatePage/component, state, variant, and riskVRT ID and source
Comparison conditionBaseline, viewport, browser, font, locale, and dataApplicability
Diff judgmentExpected, unexplained, or unassessed changeIntent and evidence
Validation actionSmallest screenshot or review checkOwner and NOT_RUN state

If a row has only a conventional expectation and no source or validation method, keep it open instead of turning it into a pass.

Audit inputs before you start

Before analyzing Visual candidate, classify the input into six evidence states. A gap is not automatically a failure, but it must not disappear inside the conclusion.

StateMeaningHow this Skill should handle it
knownDirectly supported by the supplied materialKeep the source, version, and time with the judgment
missingNeeded for this pass but not suppliedName the smallest evidence action and limit the conclusion
conflictingSources disagreeShow both sources and route the conflict to an owner
stalePresent but outside the relevant version or time windowMark freshness; old evidence is not current proof
out_of_scopeRelated but excluded from this passKeep the boundary explicit
assumptionsTemporarily adopted to continue analysisState how and when the assumption will be checked

Keep the input version, scope, environment, evidence locations, and accountable owner together. Without a run record, deliver analysis, design, or a validation plan—not an execution pass.

From problem to structured Finding

Connect the source, scope, evidence state, analysis, owner, action, close condition, and validation before writing the conclusion. The case below keeps this Skill’s identifier and domain context.

Keep the decision layers separate

For Visual candidate, do not compress four different kinds of language into “recommended to pass”:

LayerHow to write itApplication here
FactWhat the supplied material directly showsCite the source, version, input, or run record for the focus
Evidence-backed InferenceWhat several facts support togetherShow the inference chain and retain uncertainty
RecommendationThe smallest next actionName the evidence, review, execution, or regression path
Human DecisionWhat an accountable person must decideLeave scope, risk acceptance, resources, and release meaning to the owner

A complete case

This case follows Input, Analysis, Finding, Decision, and Validation. When material is incomplete, keep missing, conflicting, or assumptions visible instead of turning them into a pass.

Input

MaterialWhat to provideWhat to do when it is missing
Page and component inventoryCritical pages, states, themes, and component variantsKeep missing states unassessed
Baseline conditionsRevision, viewport, browser, fonts, locale, timezone, and dataDo not compare unlike conditions
Expected changeDesign change, approved intent, and affected scopeSeparate intended from unexplained
Diff evidenceScreenshot, threshold, region, history, and review ownerA diff file is not a verdict

Use a request like this:

Use the visual-regression-testing Skill.

Task: Prepare visual regression candidates for a dashboard theme change across light mode, dark mode, compact viewport, and Chinese locale.
Inputs: [page inventory, baseline screenshots, design diff, fonts, data fixtures, browser matrix, threshold policy]
Scope: [dashboard cards, tables, empty and error states]
Constraints: [do not execute screenshots or approve diffs]

Produce VRT-## findings with subject, conditions, expected change, concern, evidence state, owner, close condition, and validation method.

Analysis

Use the input, matrix, and evidence state to form the judgment before writing the Finding; keep missing material as a gap.

Finding

Focused example: Review a theme change without blaming the font

A dark-mode diff shows text wrapping changes in a dashboard table, but the baseline used a different font fallback and data length. The Skill should separate font and fixture variance from the intended theme change, request controlled baseline conditions, and keep the diff unassessed until comparison inputs match.

The output designs visual comparison candidates. It cannot prove a visual defect, pixel-perfect quality, accessibility, or release readiness without controlled screenshots and Human review.

Example finding: turn one problem into a handoff

The field example below shows the recording pattern; it is not an execution result.

If the supplied material cannot prove that Visual candidate meets its contract, write the finding like this. It does not invent the missing rule or turn missing evidence into a failure.

FieldExample wording
Source and scopeRecord the requirement, version, environment, and the concrete object for Visual candidate
FindingThe condition or result for Visual candidate is not yet traceable to evidence
Evidence statemissing / assumptions; use conflicting when sources disagree
Impact and priorityName the affected user, journey, or delivery decision without inflating severity
Owner and Human decisionAsk the product, engineering, security, or test owner to confirm the rule and trade-off
Action and close conditionAdd the smallest missing evidence; close only when source, judgment, and owner can be reviewed
ValidationName one repeatable check, query, or run and retain the raw artifact

The point is to let the next person walk from the finding back to the source and run an action that can change the decision.

Decision

The accountable owner confirms the decision question and risk trade-off; the Skill does not make that choice.

Validation

Before closing the finding, run the stated validation and retain the raw artifact. Without an execution record, the status remains unverified.

How a Finding enters the next stage

Handoff output

Output fieldWhy it existsExample status
Visual candidatePage/component, state, variant, and riskVRT ID and source
Comparison conditionBaseline, viewport, browser, font, locale, and dataApplicability
Diff judgmentExpected, unexplained, or unassessed changeIntent and evidence
Validation actionSmallest screenshot or review checkOwner and NOT_RUN state

Every conclusion should point to a source, evidence state, and next action. If evidence is missing, use pending, blocked, unassessed, or NOT_SCORED instead of filling the gap with confidence.

Next-stage route

At minimum, hand off the source, evidence state, owner, close condition, and validation action; the next-stage conclusion remains bounded by the evidence state.

How to prepare better input

Provide baseline revision, page states, viewport and browser, fonts, locale, timezone, data fixtures, threshold policy, intentional design scope, and review owner. Missing conditions stay blocked or unassessed.

A useful handoff includes input versions, scope, time window, evidence index, assumptions, Human decision boundary, and the smallest validation action.

Working with other Skills

Common traps

  1. Comparing screenshots with different fonts, data, viewport, or locale.
  2. Treating every pixel diff as a product defect.
  3. Updating baselines to make a pipeline green before understanding the change.

Install and invoke

npx skills add https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/visual-regression-testing -g
Use the visual-regression-testing Skill.
Include objective, scope, versions, evidence paths, constraints, and decision boundary.
Audit inputs first, preserve evidence states, and finish with owner, close condition, and validation method.

FAQ

Should the diff threshold be one global number?

Not necessarily. Thresholds depend on rendering noise, region, component, and the cost of missed visual change.

Can an approved design change be auto-accepted?

Only within a defined scope and review rule. Intentional change still needs baseline update evidence.

The Skill is most useful when attached to one real project artifact and kept with its source evidence. Start narrow, validate the uncertain part, and expand only when evidence supports it.

References

Source Skill and execution contract

The complete execution contract lives in Visual Regression Testing prompt. The source directory may also contain evaluation cases and supporting material.

Static plans, file presence, and dry runs keep their evidence state. They do not become runtime proof, an all-passed claim, or release approval.

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