Advanced Engineering Workflow Selection
Choose and sequence engineering workflows with evidence checks, bounded first steps, and explicit validation gates.
Before & after
Same prompt, same agent — the only difference is the skill.
There are a lot of engineering skills available for different areas. Observability and monitoring is definitely one area where there are specialized tools and practices. I could help you browse what's available and point you toward relevant skills, but I'd need to know more about your specific stack and what you're trying to observe. Are you looking for logging, metrics, tracing, or all of the above? What platform are you on?
ENGINEERING ADVANCED SKILLS INDEX: Observability & Monitoring
LOGGING LAYER
- Structured Logging Framework
Setup JSON schema, log parsers, trace correlation IDs
- Log Aggregation Pipeline
Ship logs to Datadog, Splunk, or ELK; handle backpressure
- Log Sampling & Filtering
Cardinality reduction, sensitive data scrubbing, tail sampling
METRICS & DASHBOARDS
- Prometheus Metrics Exporter
Instrument code for requests, latency, error rates; query PromQL
- Grafana Dashboard Builder
Templated dashboards, alert rules, SLO calculations
- Custom Metrics Design
RED (requests, errors, duration) vs USE (utilization, saturation, errors); choose right aggregation
DISTRIBUTED TRACING
- OpenTelemetry Instrumentation
Span context propagation, baggage carriage, trace sampling strategies
- Jaeger / Tempo Deployment
Backend setup, trace ingestion, flame graph analysis
- Trace Correlation
Tie logs, metrics, and traces by request ID
ALERTING & ONCALL
- Alert Rule Definition
SLO-based alerts, multi-window anomaly detection, noisy alert suppression
- Incident Response Workflows
Page routing, escalation policies, runbook automation
- Observability as Code
Terraform or YAML-based dashboard and alert management
PERFORMANCE PROFILING
- Continuous Profiling
CPU flame graphs, memory allocation tracking, lock contention analysis
- Cost Attribution
Charge-back model for expensive operations, per-customer resource costs
INDEX REFERENCES
- Click any skill title to view setup guide
- Filter by platform: Kubernetes, Serverless, Monolithic
- Filter by scale: Solo, 5-50 person eng, 100+ teamAbout this skill
“Is this a retrieval problem, a database problem, or a reliability problem?” When several engineering concerns overlap, starting with the wrong workflow creates more work without fixing the failure. This skill identifies the primary workflow, explains what must happen first, and gives you a bounded next step with evidence that would confirm or change the recommendation.
What it does
- Routes requests across agent design, RAG, MCP servers, CI/CD, database design, observability, security, releases, and platform operations.
- Separates reported symptoms from confirmed causes and proposes checks that distinguish competing explanations.
- Orders overlapping work by immediate risk and technical dependencies.
- Uses domain-specific checks, such as retrieval-versus-generation evaluation, tool permission boundaries, query-plan evidence, and deployment rollback compatibility.
- Defines a first implementation slice, success criteria, and a stop or rollback condition.
- Helps teams choose which advanced engineering practice to invest in using observed failures and operating constraints.
What you get
A concise workflow recommendation or a sequenced engineering plan, sized to your request. Each recommendation includes its evidence, unresolved assumptions, next concrete action, and validation gate without depending on additional installed files.
Best for
Engineers and technical leads facing problems that cross AI systems, delivery pipelines, data stores, security boundaries, and production reliability.
SKILL.md preview
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name: advanced-engineering-workflow-selection
description: Selects and sequences advanced engineering workflows by separating symptoms from causes, checking dependencies, and defining bounded actions with validation gates. Use when the user says "which engineering workflow should we use", "my API keeps failing under load", "our RAG answers keep getting worse", "help scope this MCP server", "our deployments keep breaking production", "review this architecture plan", or "what should our platform team tackle first".
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# Advanced Engineering Workflow Selection
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