UI automation becomes expensive when it starts from pages instead of user risk. A useful strategy connects journeys, states, platforms, roles, accessibility, and known failures before choosing a browser test.

Why this Skill is needed

The UI Test Strategy Skill forms UTS-## candidates from user journeys, page and component inventories, state flows, designs, platform matrices, accessibility requirements, and defect evidence. It does not execute tests or claim coverage.

What the Skill does

The strategy starts from user outcomes and risk, then chooses the smallest defensible UI evidence.

Use this Skill to define traceable UI quality candidates and boundaries for a journey or release. It makes platform and state trade-offs explicit without becoming a complete test strategy or executable set.

A good UTS finding names the journey or state, preconditions, risk, source evidence, platform applicability, priority, owner, close condition, and validation action.

Use it when a team needs to decide which UI journeys, states, devices, browsers, locales, or accessibility paths deserve attention first.

What it does not do

The UI Test Strategy Skill can organize material, evidence, and next actions for Journey 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
Journey candidateUser outcome, state, and riskUTS ID and source
Platform boundaryBrowser, device, locale, input, and accessibility scopeApplicability
Priority rationaleWhy this path deserves depth or samplingEvidence and uncertainty
Validation actionSmallest UI check before expandingOwner 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 Journey 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 Journey 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
Journeys and statesCore flows, empty/loading/error/success states, roles, and transitionsKeep missing states visible
Platform matrixBrowsers, devices, viewport, locale, input mode, and accessibility needsDo not assume one browser represents all
Risk evidenceDefects, analytics, business criticality, and change surfaceSeparate facts and inference
Existing assetsDesigns, components, tests, fixtures, and environmentDo not treat presence as execution

Use a request like this:

Use the ui-test-strategy Skill.

Task: Define UI test strategy candidates for a travel-booking checkout across desktop, mobile web, keyboard navigation, and payment-error states.
Inputs: [journeys, state map, platform matrix, accessibility requirements, design, defect history]
Scope: [search, passenger details, payment, confirmation]
Constraints: [one staging environment and limited device capacity]

Produce UTS-## findings with subject, preconditions, concern, source, platform applicability, evidence state, owner, close condition, and validation.

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: Cover payment errors across keyboard and mobile states

The happy path exists on desktop, but defect history shows payment errors trap keyboard users and mobile users lose entered passenger details. The Skill should elevate error-state and recovery candidates, connect them to platform evidence, and leave unexecuted work NOT_RUN.

The output is a strategy-candidate inventory. It cannot prove UI behavior, accessibility compliance, coverage, or release readiness.

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 Journey 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 Journey candidate
FindingThe condition or result for Journey 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
Journey candidateUser outcome, state, and riskUTS ID and source
Platform boundaryBrowser, device, locale, input, and accessibility scopeApplicability
Priority rationaleWhy this path deserves depth or samplingEvidence and uncertainty
Validation actionSmallest UI check before expandingOwner 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 journeys, state transitions, platform and locale matrix, accessibility expectations, change and defect evidence, design, existing tests, data, and environment capacity. Unknown platform behavior stays 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. Starting from page count instead of user journey and risk.
  2. Testing only the happy path on one desktop browser.
  3. Calling a list of candidate tests a complete strategy or executed coverage.

Install and invoke

npx skills add https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/ui-test-strategy -g
Use the ui-test-strategy 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

Does this Skill choose a full browser matrix?

It proposes evidence-backed candidates and trade-offs; platform coverage still depends on risk, capacity, and Human decisions.

Can a page inventory prove UI coverage?

No. It is input material. Coverage requires traceable intent and execution 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 UI Test Strategy 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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