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Designs actionable data product dashboards for quality, lineage, validation, quarantine and operations. Use when building data-ops, quality, or lineage dashboards.
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SOC 職業分類に基づく
Use when reviewing code before merge to assess correctness, tests, maintainability, security and user impact.
Use when reviewing plans, recommendations, prioritisation, risk registers, retrospectives or agent outputs for judgement distortion from cognitive bias — not for checking whether an argument's premises validly support its conclusion.
Use when evaluating whether premises in plans, ADRs, reviews, security justifications or agent recommendations validly support their conclusions — for logical fallacies, not judgement distortion from cognitive bias.
Use when a coding agent needs robust problem solving, explicit decomposition, alternative-path exploration, program-aided reasoning, ReAct loops, or self-correction.
Use when generated code, plans, tests, prompts or architecture need critique, repair and verification before completion; especially for coding tasks requiring self-review, test-driven repair or quality gates.
Identifies risks, scores likelihood and impact, selects treatment, assigns owners and review cadence. Use when building or updating a risk register, treating agent autonomy risks, or deciding mitigate, transfer, accept or avoid.
| name | data-product-dashboard-design |
| description | Designs actionable data product dashboards for quality, lineage, validation, quarantine and operations. Use when building data-ops, quality, or lineage dashboards. |
Use this skill when building dashboards or analytical screens for data quality, schema discovery, metadata, profiling, rule generation, validation, cleansing, quarantine, refined datasets, lineage, audit or operations.
Create dashboards that help users make decisions, investigate issues and take action without confusing operational metrics, quality evidence and governance evidence.
Source overview, schema discovery, profiling, rule management, validation, cleansing, quarantine, refined data, lineage, audit and operations.
validation_pass_rate, validation_failure_rate, quarantine_rate, quarantine_record_count, refined_record_count, cleansing_success_rate, rule_failure_count, top_failed_rules, schema_change_count, approval_backlog_count, mean_workflow_duration, p95_workflow_duration, policy_denial_rate, source_freshness, quality_score.
