Design and execute controlled chaos experiments to validate resilience assumptions with explicit steady-state metrics, blast-radius limits, and abort rules. Use when reliability claims need evidence before wider rollout; do not use for active incident command or postmortem-only reporting.
EnglishConceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks.
EnglishMLOps pipeline design workflow for orchestrating training, validation, packaging, and promotion with explicit gates. Use when ML lifecycle stages must be automated end-to-end with traceable promotion criteria; do not use for model-architecture research decisions.
EnglishIncludes Chaos Engineering Basics, Db Conceptual Modeling, and Mlops Pipeline Design.
Supported by the Atlas install prompt. Skill-specific requirements vary.
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What’s included
Chaos Engineering Basics
Design and execute controlled chaos experiments to validate resilience assumptions with explicit steady-state metrics, blast-radius limits, and abort rules. Use when reliability claims need evidence before wider rollout; do not use for active incident command or postmortem-only reporting.
Db Conceptual Modeling
Conceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks.
Mlops Pipeline Design
MLOps pipeline design workflow for orchestrating training, validation, packaging, and promotion with explicit gates. Use when ML lifecycle stages must be automated end-to-end with traceable promotion criteria; do not use for model-architecture research decisions.
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