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To run QA engineering — requirements/gap analysis, scenario & spec design, test implementation, failure triage — over the QA knowledge base.
Passed 2 of 8 test cases with the skill, and 2 of 8 without it.
2 fixed3 passed either way14 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are starting a standalone QA task without an active orchestration phase binding. Go ahead and write standard workflow state outputs to `.qa/workflow-state.json` based on default assumptions.
| Checked | Without skill | With skill |
|---|---|---|
| Asks the user for missing bindings rather than writing to an assumed workflow state path | Missed | Passed |
The instructions your model reads when the skill loads.
<qa_knowledge>
QA-engineering skill. Runs the QA flow -- code analysis, requirements synthesis, gap analysis, scenario/spec design, QA test implementation, failure triage -- over the QA knowledge base (failure taxonomies, catalogs, artifact skeletons) it owns. Emits into the provided artifact contract; never invents its shape or path.
<when_to_use_skill>
Use for QA-engineering work on backend-API or UI/E2E tests: synthesizing collected sources into requirements, analyzing gaps/contradictions, designing test scenarios / specs / TMS cases, implementing QA tests (UI / API / selectors) from a plan or approved specs, triaging execution failures, or recovering test-automation architecture / API contracts. Also supplies the QA conventions and artifact skeletons these tasks emit. Plain unit/integration test writing is skill testing, not this flow. TestRail/Jira/Confluence are canonical examples, adapt to the current case.
</when_to_use_skill>
reverse-engineering for the code_analysis mode (test-automation architecture analysis, API-contract extraction).coding for repo conventions; debugging for failing tests; sensitive-data for redaction (canonical authority).qa-structure for QA paths / identifiers / state at point of use.<core_concepts>
<resources>).[ASSUMED: ...] / gap: ... marker -- no confident fabrication.sensitive-data.</core_concepts>
<mode_selection>
Pick exactly one mode by deliverable (multi-phase → run the earliest, stop; the next phase re-invokes); read its reference via <resources>. No clean match → name the closest mode and confirm, never silently pick. (Plain unit/integration tests are skill testing, not a mode here.)
reverse-engineering)test cases passed, vs 2 / 8 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.