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Found 7 Skills
Quality review of test files and manual evidence documents. Goes beyond existence checks — evaluates assertion coverage, edge case handling, naming conventions, and evidence completeness. Produces ADEQUATE/INCOMPLETE/MISSING verdict per story. Run before QA sign-off or on demand.
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.
[Documentation] Create or update business feature documentation in docs/business-features/{Module}/. Generates comprehensive 26-section docs with verified code evidence and AI companion files. Triggers on: feature docs, business feature documentation, module documentation, document feature, update feature docs, ai companion, ai context file, quick feature docs, feature readme, single file docs, verified documentation.
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.
Establishes protected, test-only RED evidence for observable behavior before Cook changes production. Use when the user invokes `/cut`, Mold hands off an approved behavior spec, Cook has no valid GateReceipt, or a user/Pasteurize reproduction needs adoption; do not use for closed non-behavior work or Press hardening.