Design data-quality monitoring for production pipelines and stores — checks across the six dimensions (freshness, completeness/volume, uniqueness, validity, consistency/referential integrity, distribution drift), placed at the right pipeline stage (ingest, transform, serving), each with severity, an owner, and a failure action (block, quarantine to a reviewable location, or alert-and-pass — never silent auto-fix), plus per-dataset quality SLAs and incident routing. Produces the monitor spec and quarantine policy as design; alert/dashboard wiring is observability-operator and user-journey SLO targets stay with slo-reliability-architect. Use when bad, stale, or missing data keeps reaching users or models, when a warehouse/pipeline needs quality gates, or when nobody can say whether a dataset is trustworthy. Do NOT use for TEST data design (test-data-architect), system telemetry (observability-operator), or LLM output shape (structured-output-validator).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
Design data-quality monitoring for production pipelines and stores — checks across the six dimensions (freshness, completeness/volume, uniqueness, validity, consistency/referential integrity, distribution drift), placed at the right pipeline stage (ingest, transform, serving), each with severity, an owner, and a failure action (block, quarantine to a reviewable location, or alert-and-pass — never silent auto-fix), plus per-dataset quality SLAs and incident routing. Produces the monitor spec and quarantine policy as design; alert/dashboard wiring is observability-operator and user-journey SLO targets stay with slo-reliability-architect. Use when bad, stale, or missing data keeps reaching users or models, when a warehouse/pipeline needs quality gates, or when nobody can say whether a dataset is trustworthy. Do NOT use for TEST data design (test-data-architect), system telemetry (observability-operator), or LLM output shape (structured-output-validator).
Quick start
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Design data-quality monitoring for production pipelines and stores — checks across the six dimensions (freshness, completeness/volume, uniqueness, validity, consistency/referential integrity, distribution drift), placed at the right pipeline stage (ingest, transform, serving), each with severity, an owner, and a failure action (block, quarantine to a reviewable location, or alert-and-pass — never silent auto-fix), plus per-dataset quality SLAs and incident routing. Produces the monitor spec and quarantine policy as design; alert/dashboard wiring is observability-operator and user-journey SLO targets stay with slo-reliability-architect. Use when bad, stale, or missing data keeps reaching users or models, when a warehouse/pipeline needs quality gates, or when nobody can say whether a dataset is trustworthy. Do NOT use for TEST data design (test-data-architect), system telemetry (observability-operator), or LLM output shape (structured-output-validator).
About this listing
Category
Product & design
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI