Pesquisa e Web

Orchestrates test planning pipeline: research, manual testing, automated test planning. Use when Story needs comprehensive test coverage planning.

Researches competitive benchmarks and generates optimization hypotheses for identified bottlenecks. Use after profiling.

Use when an evaluation run must merge research, findings, documentation, and repair outputs into one verified result.

Indexes and queries project research graphs backed by hex-research MCP. Use for hypotheses, goals, benchmark runs, evidence depth, derived goal metrics, lineage, generated research maps, and graph audits.

Use when auditing persistence and runtime performance through the evaluation platform with mandatory research, coordinated data-layer workers, and structured summaries.

Researches real-world problems, competitor solutions, and customer complaints for a feature domain. Use before test planning to ground tests in actual user pain points.

Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.

Use when auditing the test surface through the evaluation platform with mandatory research, coordinated test audit workers, and structured summaries.

Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.

Cria, replaneja ou anexa 5-10 Histórias por Épico com pesquisa de padrões e roteamento multi-épico. Use quando o Épico precisar de decomposição de Histórias.

Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.

Use when an evaluation run needs mandatory official-doc, MCP Ref, Context7, and current best-practice research with a structured research summary.