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Found 4 Skills
AI SDLC QA workflow. Use when an AI assistant is asked for QA planning, acceptance validation, regression scope, exploratory checks, smoke tests, release verification, or change-focused manual validation evidence. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Functional validation skill. Captures test evidence (screenshots, recordings, links) and produces QA reports in thoughts/*/qa/.
Use when you need to create defect reports that can be directly pasted into external defect systems (without saving bug files in the Spec Pack) during the verification phase of the Spec Pack, and write the defect references back to `{FEATURE_DIR}/verification/report-*.md`.
Smoke test for alicloud-ai-chatbot. Validate minimal authentication, API reachability, and one read-only query path.