Pipeline Monitoring Setup - Auto-activating skill for Data Pipelines. Triggers on: pipeline monitoring setup, pipeline monitoring setup Part of the Data Pipelines skill category.
36
Quality
3%
Does it follow best practices?
Impact
96%
1.01xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/pipeline-monitoring-setup/SKILL.mdAirflow pipeline monitoring setup
Step-by-step structure
100%
100%
Failure callback configuration
100%
100%
SLA monitoring
100%
100%
Email or alerting integration
100%
100%
Production-ready code
100%
100%
DAG health metrics
100%
100%
Configuration file
100%
100%
Best practices: idempotency or retries
100%
100%
Validation step
100%
100%
Workflow orchestration scope
100%
100%
Without context: $0.3961 · 2m 7s · 16 turns · 16 in / 8,104 out tokens
With context: $0.5221 · 2m 21s · 23 turns · 56 in / 8,671 out tokens
ETL pipeline monitoring and validation
Step-by-step documentation
100%
100%
Row count validation
100%
100%
Data quality checks
100%
100%
Execution time tracking
62%
37%
Alerting on failure
100%
100%
Production-ready error handling
80%
100%
Output artifact
100%
100%
Validation against standards
80%
80%
ETL transformation coverage
70%
70%
Verification step
100%
100%
Without context: $0.4912 · 2m 16s · 22 turns · 21 in / 8,870 out tokens
With context: $0.7734 · 3m 3s · 34 turns · 323 in / 12,263 out tokens
Streaming pipeline monitoring setup
Step-by-step guide
100%
100%
Consumer lag monitoring
100%
100%
Throughput tracking
100%
100%
Failure or error rate alerting
100%
100%
Production-ready code
90%
80%
Threshold-based alerting
100%
100%
Runnable script or config
100%
100%
Standards-based validation
75%
100%
Streaming-specific scope
100%
100%
Verification instructions
100%
100%
Without context: $0.5833 · 2m 29s · 21 turns · 70 in / 10,991 out tokens
With context: $0.7029 · 2m 44s · 32 turns · 61 in / 11,475 out tokens
0c08951
Table of Contents
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