data-quality
De la autor
Decide what must be true of a dataset and where that assertion belongs — freshness against event time, volume floors and bands, distribution and referential checks, source reconciliation, and whether it should be a schema constraint, a blocking publish gate or an alert. Use when adding or reviewing data checks, when a wrong number reached a consumer and nothing caught it, or when a check fires so often it is being ignored. Not for proving a specific migration did what it claimed (database-migration-verification), not for building the pipeline itself (data-pipelines), and not for interpreting what the numbers mean.
Instalare
npx skills add nahid-sparktales/agent-dispatcher --skill data-quality -a claude-code
Se instalează în .claude/skills/data-quality/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
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- data-engineeringcbrock84/headcountBuilds and operates data pipelines — ingestion, transformation, orchestration, quality testing, and reliability of data delivery. Use this to design or debug a pipeline, decide batch versus streaming, add data quality checks, handle late or duplicate data, or work out why a dashboard's numbers changed without anyone changing the dashboard.Date★ 2.1K
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- data-integritynahid-sparktales/agent-dispatcherKeep data correct over time — write the invariants down, push each one to the lowest layer that can enforce it, cover the rest with reconciliation queries, and detect drift before a user reports it. Use when deciding where a rule should be enforced, auditing a schema whose rules live only in application code, building reconciliation or drift checks, or investigating data that looks wrong. Not for sequencing a schema change (migrations) or proving one migration's outcome (database-migration-verification), and it stops before repairing rows in a shared environment.Date★ 59
- data-quality-auditorborghei/Claude-SkillsAudit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting schema drift, monitoring freshness SLAs, or responding to a DQ incident.Altele★ 971
- data-migrationcbrock84/headcountMoves data from one system to another without losing it or corrupting it — profiling the source before mapping, deciding between big-bang and parallel-run cutover, reconciling counts and values rather than assuming, handling the records that will not map cleanly, and planning a rollback that is actually executable. Use this to plan or run a migration, assess a migration plan someone else wrote, work out why a completed migration is producing wrong numbers, or size how long one will really take.Planificare★ 2.1K
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