Data & AI Skills
数据分析、机器学习、可视化
Found 9 skills
Two-pass Story review that fails fast, creates needed fix/refactor/test tasks, and finalizes the Story only after tests are verified. - Pass 1 (after impl tasks Done): run code-quality, lint, regression, and manual testing; if all pass, create/confirm test task; otherwise create targeted fix/refacto...
Two-pass Story review that fails fast, creates needed fix/refactor/test tasks, and finalizes the Story only after tests are verified. - Pass 1 (after impl tasks Done): run code-quality, lint, regression, and manual testing; if all pass, create/confirm test task; otherwise create targeted fix/refacto...
Two-pass Story review that fails fast, creates needed fix/refactor/test tasks, and finalizes the Story only after tests are verified. - Pass 1 (after impl tasks Done): run code-quality, lint, regression, and manual testing; if all pass, create/confirm test task; otherwise create targeted fix/refacto...
Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.