Unclear service boundaries cause domain leakage and fragile integrations. This skill maps relationships, contract ownership, translations, failures, and versioning policies.

dbt projects can become inconsistent as models, tests, and incremental logic grow. This skill provides practical patterns for organized, documented, and efficient transformations.

Durable TypeScript services need clear workflow rules and failure handling. This skill guides DBOS workflows, steps, queues, clients, communication, testing, and upgrades.

Reliable Python services need workflows that recover after crashes and retries. This skill gives Claude, Codex, and Claude Code practical DBOS guidance for workflows, steps, queues, clients, and tests.

Reliable Go workflow code is hard to design across crashes, retries, and deployments. This skill gives DBOS patterns for workflows, steps, queues, clients, testing, and upgrades.

Large repositories force coding agents to rediscover structure during every task. DSP stores a queryable dependency graph with stable identities and explicit connection reasons.

Complex data questions can produce unreliable conclusions when methods, assumptions, and business goals are unclear. This skill structures analysis, modeling, validation, and communication into a rigorous workflow.

Data teams need architectures that meet throughput, quality, reliability, and cost targets. This skill provides structured guidance for batch, streaming, orchestration, storage, and monitoring decisions.

Feature teams often ship changes without clear evidence or measurable outcomes. This skill guides analysis, A/B testing, instrumentation, rollout, and post-launch review.

Data teams need reliable architectures that meet scale, latency, governance, and cost requirements. This skill turns those requirements into pipeline designs, implementation plans, quality controls, and operating guidance.

Manual Datadog investigations and configuration changes consume operational time. This skill guides metrics, logs, monitors, dashboards, events, downtimes, hosts, and traces through Rube MCP.

Slow queries and weak database designs can raise latency, cost, and operational risk. This skill provides evidence-based guidance for queries, indexes, caching, scaling, migrations, and monitoring.

Database migrations can lock tables, corrupt data, or leave applications incompatible. This skill creates staged plans with validation, rollback, batching, and zero-downtime strategies.

Database migrations can fail without clear signals about lag, throughput, or errors. This skill designs CDC monitoring, metrics, dashboards, and alerts for migration workflows.

Database choices often ignore workload, deployment, and migration constraints. This skill guides selection, schema design, indexing, optimization, and safer changes.

Cloud waste grows when teams lack clear cost, usage, and tagging visibility. This skill turns billing data into safe savings plans and governance steps.

Poor database choices create expensive migrations, weak performance, and operational risk. This skill turns requirements and access patterns into practical schemas, technology choices, and migration plans.

Complex database operations create reliability, security, and cost risks. This skill provides structured guidance for architecture, automation, monitoring, recovery, and optimization.

Database projects often span disconnected design, migration, optimization, and operations tasks. This skill organizes those tasks into one phased workflow with focused specialist prompts.

Tracking useful technology news across many sites takes time and produces duplicate reading. This skill collects, scores, deduplicates, and formats selected articles.