testland/state-transition-test-design
Derives human-readable manual test cases from stateful behavior: identify states, events, transitions, and guard conditions, draw the state table including invalid (empty-cell) transitions, choose a coverage level (all states, valid transitions / 0-switch, transition pairs / 1-switch per Chow, all transitions including invalid ones), then derive one test case per coverage item as an event sequence with per-step expected states (ISTQB CTFL v4.0 section 4.2.4). A deep single-technique walkthrough rather than a broad multi-lens case matrix; the output is manual step/expected cases rather than parameterized test code, and it covers how cases are derived rather than how a case record is structured. Use for lifecycle entities (accounts, orders, subscriptions), workflows, and UI wizards where the response to an event depends on the current state.
78
93%
Does it follow best practices?
Impact
77%
0.81xAverage score across 10 eval scenarios
Passed
No findings from the security scan
tile.json
{
"name": "testland/state-transition-test-design",
"version": "1.7.4",
"summary": "Derives human-readable manual test cases from stateful behavior: identify states, events, transitions, and guard conditions, draw the state table including invalid (empty-cell) transitions, choose a coverage level (all states, valid transitions / 0-switch, transition pairs / 1-switch per Chow, all transitions including invalid ones), then derive one test case per coverage item as an event sequence with per-step expected states (ISTQB CTFL v4.0 section 4.2.4). A deep single-technique walkthrough rather than a broad multi-lens case matrix; the output is manual step/expected cases rather than parameterized test code, and it covers how cases are derived rather than how a case record is structured. Use for lifecycle entities (accounts, orders, subscriptions), workflows, and UI wizards where the response to an event depends on the current state.",
"private": false,
"skills": {
"state-transition-test-design": {
"path": "SKILL.md"
}
}
}