MCP App StoreMCP App Store
from awesome-omni-skills58
Guidance and operational workflow for designing scalable, reliable batch and streaming data pipelines—keeps upstream provenance and copied support files intact.
Provides a comprehensive editorial intake for data pipeline architecture: patterns (ETL/ELT, Lambda, Kappa, Lakehouse), ingestion strategies for batch and streaming, orchestration notes (Airflow/Prefect), transformation (dbt/Spark), storage strategies (Delta Lake/Iceberg), monitoring, and cost optimization. The skill emphasizes preserving upstream provenance and copied support files for auditable reviews.
Use this skill when designing or reviewing data pipeline architectures, preparing reviewer packets anchored to upstream sources, or when you must preserve provenance and the original workflow during public intake and enhancement. Not intended for trivial data tasks or unrelated domains.
Suitable for agent runtimes that can run code/CLIs (Codex, Claude Code, Cursor, Gemini CLI) and for human review workflows that require provenance tracking.
This skill has not been reviewed by our automated audit pipeline yet.
Azure Identity SDK (TypeScript) v2
Authenticate to Azure services from TypeScript using DefaultAzureCredential, Managed Identity, service principals, and credential chains with provenance-preserv
Conductor Revert (Git-aware Revert Track)
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Query local, privacy-safe cross-project analytics to report on agent, skill, hook, and team performance; replay sessions and estimate token costs.