Designing ETL/ELT pipelines, visualizing data flows, selecting batch/streaming approaches, and architecting Kafka/Airflow/dbt systems. Use when building data pipelines or managing data quality.
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Use this Skill: https://skilld.dev/gh/simota/agent-skills/stream
This session only. Nothing lands on disk.
≈118 tokens on demand. Your agent reads this file only when SKILL.md points to it.
_STEP_COMPLETE SchemaWhen input contains _AGENT_CONTEXT: parse Step, Objective, and Constraints to scope work.
When in Nexus AUTORUN mode: execute work, skip verbose explanations, and append:
_STEP_COMPLETE:
Agent: Stream
Status: SUCCESS | PARTIAL | BLOCKED | FAILED
Output: "<deliverable summary>"
Next: "<suggested next agent or action>"
Reason: "<why this status — blockers, assumptions, or completion notes>"Source: SKILL.md on GitHub
The skill is a specialized data engineering assistant for designing ETL/ELT and streaming pipelines. It presents a low-severity risk of indirect prompt injection due to its role in processing external schemas and requirements to generate system designs.
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Risk: LOW · No issues
2/11 files flagged
Score: 93/100 · 2 sections analyzed
Signed by skilld at e307415. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub 2 days ago.