Katalon True Platform Testing

Use this skill for requirement-to-execution workflows in Katalon True Platform/TestOps, and as the router across the full 7-stage testing lifecycle. Prefer Katalon MCP tools for platform operations and Browser/Playwright only for external AUT exploration or visual verification.

Role Routing

Ask who is in front of you before asking which stage they are in. A skill is listed here when a request phrased in role terms, naming no skill, should land there first. Everything else is reached by handoff.

platform-setup is role-neutral and comes first for everyone who has not connected the MCP yet. Synonyms (SDET, automation engineer, QA engineer, QA analyst, test analyst, QA lead, QA manager), the full intent-to-skill map, and what to fall back to for the parts not built yet are in references/lifecycle-map.md.

Lifecycle Routing

The Katalon testing lifecycle has 7 stages. For a focused request, route to the matching skill; for a full-flow request, run the stages in order and stop when the user's goal is met. Full map + tool lists: references/lifecycle-map.md.

For multi-skill plays (requirement-to-ship, coverage rescue, flaky cleanup, manual-to-automation, cross-lane trust check, traceability audit) read references/combination-recipes.md. For copy-paste prompts and cross-model/cross-agent execution notes read references/prompt-recipes.md. For the full MCP tool list read references/mcp-tool-index.md.

This skill can run any stage inline itself (the workflows below cover requirement->execution->report); route to a focused skill when the user wants only that stage or a deeper treatment (traceability, review verdict, failure triage, maintenance).

Autonomy Policy

When the user asks for an end-to-end Katalon flow, try to complete the full available workflow without pausing for optional decisions:

+--------------+ --> +-------------+ --> +--------------+ --> +-------------+ --> +-------------+
| Analyze reqs |     | Create/link |     | Create suite |     | Create run  |     | Run with AI |
+--------------+     +-------------+     +--------------+     +-------------+     +-------------+
                                                                                         |
                                                                                         v
                                                                                  +---------------+
                                                                                  | Report result |
                                                                                  +---------------+

Default assumptions:

• If exactly one Katalon project or repository matches the user's wording or current context, use it.
• If exactly one repository exists, use it.
• If no AUT environments exist and the user supplied or requirement contains a URL, use that URL as default_aut_environment_url for AI execution.
• If AUT environments exist, choose the environment whose URL/name best matches the target AUT. Ask only if no match is clear.
• After creating any manual test execution, start Run with AI automatically and wait for completion unless the user explicitly says not to run AI.
• If a matching test case already exists, reuse and update/link it instead of creating a duplicate.
• If a matching test suite already exists, reuse it and add missing cases instead of creating a duplicate.

Ask the user only when a required value cannot be resolved safely, multiple equally valid choices remain, credentials/accounts are missing, the next action is destructive, or the user explicitly asks for approval gates.

Availability First

Before promising a workflow, state the automation boundary:

• Available through Katalon MCP: list projects/repositories, find/read requirements, create/read/update test cases, link requirements, find/manage test suites and folders, create manual test runs, start Run with AI, poll AI sessions, read execution/test results, fetch quality metrics, and create ALM-linked defects.
• Not directly available through Katalon MCP: create requirements, create a formal Test Plan entity, guarantee AI execution completion, or inspect the live AUT UI without Browser/Playwright.
• Workaround for test plans: use a named test suite or folder plus release/sprint association as the executable test plan structure.

For details, read references/unavailable-capabilities.md when the user asks "can Katalon do X?" or when planning scope.

Required Context Workflow

Always resolve context in this order before mutating Katalon data:

+---------------+ --> +---------------------+ --> +-----------------------+
| list_projects |     | list_repositories   |     | resolve repository    |
+---------------+     +---------------------+     +-----------------------+

Rules:

• Treat repository and Test Project as the same resolution target.
• If the user says "Katalon Cloud" or "cloud repo", prefer a repository named Katalon Cloud when present.
• Do not scan all repositories to avoid choosing. Resolve from context or ask when ambiguous.
• For full-flow requests, perform non-destructive writes without asking again once project/repository/requirement scope is resolved.
• Before destructive writes or bulk changes outside the requested flow, summarize the intended changes and get approval.

Requirement Analysis

Use find_requirements or read_requirement when requirements exist in Jira/Azure integration. If requirements are provided in chat, analyze them locally and only use Katalon to create/link test assets.

Output requirement analysis as:

• Requirement intent
• User roles/personas
• Main flows
• Alternate and negative flows
• Data and environment assumptions
• Risk areas
• Coverage recommendations

Read references/requirement-analysis.md for the checklist.

Manual Test Case Design

Write manual test cases in a platform-importable style:

• Title: concise and action-oriented.
• Description: what behavior is verified.
• Pre-condition: environment, data, account, AUT state.
• Steps: manual tester phrasing, each starting with a concrete action.
• Expected results: observable UI/API/platform result per step.
• Test data: values, URLs, accounts, or N/A.
• Priority: P0/P1/P2 when useful.
• Requirement links: source keys or internal requirement IDs when available.

Mirror the style of related existing test cases before drafting new or updated cases:

• Read representative existing cases for the same requirement, feature area, folder, suite, product flow, or repository.
• Use their naming convention, field structure, step granularity, vocabulary, pre-condition style, test data style, and expected-result detail level.
• Keep new coverage consistent with the local suite unless the existing style is clearly incomplete or obsolete.
• If existing cases are weak, preserve platform compatibility while improving only what is needed for correctness and coverage.
• When no related cases exist, use the default manual test case format below.

Design enough coverage using ISTQB test design techniques as a reference before importing cases (the techniques guide the design; the output is plain platform test cases, not an ISTQB certification):

• Use equivalence partitioning for input classes, filters, statuses, user roles, and product states.
• Use boundary value analysis for numeric ranges, quantities, prices, dates, pagination, and length limits.
• Use decision table testing for business rules with combinations of conditions.
• Use state transition testing for workflows such as cart, checkout, execution status, and lifecycle changes.
• Use use-case/scenario testing for end-to-end user journeys.
• Use error guessing/checklist-based testing for common ecommerce/platform risks.
• Use pairwise or combinatorial reduction when variants explode, while preserving high-risk combinations.

Keep each case atomic in scope (one validation condition per case) so a failure pinpoints the exact rule and each requirement line maps 1:1 to a result. Atomic is about scope, not step count: every case is still a complete, runnable flow (precondition/navigation -> enter surrounding valid data -> action under test -> verify), never a lone bare assertion. Cover the happy-path flow and its edge cases (boundary + negative variants), not just the positive path. Reserve combined cases for true end-to-end scenarios. Quote expected error/UI strings verbatim from the requirement, including source typos (flag them separately). If coverage is intentionally reduced, state the risk-based rationale.

Read references/istqb-coverage.md before designing cases from requirements. Read references/manual-test-case-format.md before creating many cases or when the user asks for a specific format.

Existing Test Case Check

Before creating or importing any test case, check whether suitable coverage already exists:

• If requirement IDs are known, call find_test_cases_by_requirement first.
• Search by requirement key, title keywords, feature area, and target folder with find_test_cases.
• Read likely matches with read_test_case when title alone is not enough to judge coverage.
• Read enough related cases to infer the local writing style before drafting new cases, even when the related cases do not fully cover the requested behavior.
• Reuse, update, move, or link existing cases when they already cover the behavior.
• Create new cases only for uncovered behavior, missing coverage classes, or clearly obsolete/incorrect existing coverage.
• Report what was reused, what was updated, and what was newly created.

This check is mandatory for write/import/full-flow requests, including retries after partial failure. Do not create duplicate cases simply because a previous create attempt failed. If no related cases can be found, say that the new cases follow the default skill format.

Import And Traceability Workflow

Use this flow for "write test cases and import to platform":

+----------------------+     +-----------------------+     +----------------------+
| Analyze requirements | --> | Draft coverage design | --> | Find existing cases  |
+----------------------+     +-----------------------+     +----------------------+
          |                             |                              |
          v                             v                              v
+----------------------+     +-----------------------+     +----------------------+
| create/update needed | --> | link_requirements     | --> | read_test_case verify|
+----------------------+     +-----------------------+     +----------------------+

Tool rules:

• Search for existing matching test cases before every create/import action.
• Use create_test_case only for manual test cases that do not already have suitable coverage.
• Use link_requirements_to_test_case only after requirement IDs are known.
• Use read_test_case after creation when verification matters.
• Use update_test_case for revisions; pass all intended updates in one call.
• Use manage_test_folder or move_test_case for organization when requested.

Test Suite And "Test Plan" Workflow

When the user says "search and design test plan":

1. Use find_test_cases, find_requirements, and find_iterations as needed to understand scope.
2. Propose a test plan structure in chat: objectives, in-scope/out-of-scope, coverage matrix, risks, environments, suites.
3. Implement the executable structure with manage_test_suite and optional folders.
4. Add selected test cases to suites.
5. Verify with read_test_suite.

For formal Test Plan entity creation, state that the current MCP does not expose a direct create-test-plan tool.

Manual Execution And Run With AI

Use this flow for manual execution:

+------------------+     +----------------------+     +-----------------------+
| read_auts        | --> | create_manual_run    | --> | read_test_suite       |
+------------------+     +----------------------+     +-----------------------+
          |                           |                            |
          v                           v                            v
+------------------+     +----------------------+     +-----------------------+
| create_ai_session| --> | read_ai_session poll | --> | report results        |
+------------------+     +----------------------+     +-----------------------+

Rules:

• If the user asks for the full flow, test cases just created, or Run with AI, treat the execution as manual unless they explicitly ask for automated execution.
• If the user asks only to "run tests" and no test type can be inferred, ask: "Do you want to run manually or automated?"
• For manual execution, always call read_auts immediately before create_manual_test_run.
• Choose the best matching AUT/environment automatically when URL/name clearly matches the target AUT. Ask only when multiple AUTs are equally plausible.
• Never reuse AUT environment selection from an earlier turn or earlier run.
• After any manual test execution is created, start Run with AI automatically unless the user explicitly says not to. Do not ask whether to continue with AI.
• Before create_manual_ai_session, call read_test_suite for every suite from the manual run and pass non-empty test case lists.
• Poll read_manual_ai_session until all items are no longer TODO/IN_TESTING. If the session stays queued or running for a long time, keep polling at practical intervals and report an in-progress state only when the user asks for status or an external platform timeout/error is observed.

Read references/execution-workflow.md before creating executions.

Automated Execution

Use automated execution only for automated test suites:

+------------------+ --> +--------------------+ --> +----------------------+
| find_test_suites |     | build run config   |     | schedule_test_run    |
+------------------+     +--------------------+     +----------------------+

Rules:

• Use schedule_test_run, never create_manual_test_run, for automated suites.
• Do not run individual manual test cases through schedule_test_run.
• Use find_execution_profiles, list_test_cloud_environments, build_run_configuration, and optionally build_schedule.
• For mobile runs, ask whether the target is mobile browser or mobile app when app details are missing.

Result Review And Response

After execution, read results before responding:

• Manual AI run: read_manual_ai_session, then relevant execution/result tools if IDs are available.
• TestOps execution: read_execution, read_execution_test_results, read_test_result.
• Recent or specific results: find_test_results.
• Quality summaries: fetch_requirement_data, fetch_test_case_data, fetch_defect_data, fetch_test_configuration_data, fetch_test_stability_data.

Report in chat with:

• Execution/run link when returned by the platform.
• Pass/fail/blocked counts.
• Failed cases and concise failure reason.
• Defects created or recommended.
• Gaps, skipped items, and what needs manual follow-up.

Defects

Use create_defect only when a failed test result ID is known. First call find_alm_integration_projects if ALM integration IDs are unknown. Ask the user before creating defects unless they explicitly requested defect creation for failures.