Testing every email address is not thorough; it is a way to run out of time. The useful question is which inputs share the same rule and which one breaks away.

Why this Skill is needed

Equivalence Partitioning groups inputs expected to behave the same, then selects representatives that cover valid, invalid, empty, and conditional classes.

What the Skill does

The Equivalence Partitioning Skill is useful when a team needs a structured review of valid and invalid classes, empty values, type, format, business rule, and representative selection.

Awesome QA Skills organizes Skills by language and testing stage. The series overview explains the shared installation model; this guide stays with Equivalence Partitioning.

A practical standard for this Skill is simple: A good partition follows behavior, not syntax alone. Two strings may share a format but belong to different business classes when one is an active owner and the other is unknown.

Use it when the team needs a repeatable review of valid and invalid classes, empty values, type, format, business rule, and representative selection—especially when several evidence sources disagree or a handoff must explain what remains unverified.

What it does not do

The Equivalence Partitioning Skill can organize material, evidence, and next actions for Partition map. 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
Partition mapClass definition, representative, and source ruleValid, invalid, or conditional
Coverage choiceValues selected and values deliberately omittedReason
GapClass with no oracle or ambiguous behaviorClarification action

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 Partition map, 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 Partition map, 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
Input rulesType, format, allowed values, optionality, and business conditionsKeep separate rules separate
Behavior oracleExpected result, error, empty set, or normalizationA class needs an observable outcome
DependenciesFields whose valid class changes with another fieldRecord conditional partitions

Use a request like this:

Use the equivalence-partitioning Skill.

Task: design input classes for a search API that accepts date range, status, owner, and free-text filters
Inputs: [requirements, versions, links, logs, reports, or data paths]
Scope: [included and excluded objects]
Unknowns: [missing environment, accounts, data, or permissions]
Expected output: [risk-ordered findings, evidence status, and next actions]

Audit the inputs first. Separate facts, assumptions, and open questions. Do not claim execution without a run record.

Analysis

Start with a bounded pass—design input classes for a search API that accepts date range, status, owner, and free-text filters. For a date filter, create classes for omitted dates, valid same-day ranges, reversed ranges, future ranges, invalid time zones, and ranges beyond retention. Choose one representative for each, then add boundary values where the class changes.

The handoff should preserve the input version, time window, evidence index, owner, and next validation action. The Skill can organize uncertainty; it cannot manufacture the missing artifact.

Finding

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 Partition map 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 Partition map
FindingThe condition or result for Partition map 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
Partition mapClass definition, representative, and source ruleValid, invalid, or conditional
Coverage choiceValues selected and values deliberately omittedReason
GapClass with no oracle or ambiguous behaviorClarification action

Do not write “passed” without a run record, query result, or source artifact. A good partition follows behavior, not syntax alone. Two strings may share a format but belong to different business classes when one is an active owner and the other is unknown.

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

If the first request contains only a one-line goal, keep the output limited. Add the source version, affected objects, environment, known defects, and decision owner to move from a plausible checklist to a useful review.

A richer input changes the answer here because valid and invalid classes, empty values, type, format, business rule, and representative selection must be tied to evidence rather than inferred from a familiar pattern.

Working with other Skills

Common traps

  1. Grouping by data type while ignoring business behavior.
  2. Choosing one valid example and calling the class covered.
  3. Missing conditional classes created by account or state.

Install and invoke

Install the individual Skill. The series overview carries the longer installation explanation.

npx skills add https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/equivalence-partitioning -g

After installation, invoke it with the equivalence-partitioning Skill and attach the real project material.

FAQ

Do partitions replace boundary tests?

No. Partitions reduce the space; boundary testing chooses values where behavior changes.

What if two classes look identical?

Keep one only when the source and observable behavior are identical; otherwise record the uncertainty.

The example above is a design and review pattern, not an execution result. Keep static analysis, runtime evidence, human approval, and release acceptance separate.

References

Source Skill and execution contract

The complete execution contract lives in the Equivalence Partitioning prompt. Read it before invoking the Skill; the prompt defines the detailed workflow and output contract. The source directory contains the entry point and supporting assets where they exist.

The entry point centers valid and invalid classes, empty values, type, format, business rule, and representative selection. Keep its decision boundary visible and do not turn a static design into an execution claim.

ACP (Agent Client Protocol)Active MemoryAgent AuthorizationAgent CardAgent Evals
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