ruflo-core
claudeCore Ruflo MCP tools, commands, and Claude Code orchestration patterns
5 skills · 2 commands · 4 agents · 1 MCP server · hooks
Trace lineage, audit data quality, and root-cause data incidents with the open-source Data Workers agent swarm — one local MCP server with 160+ data-engineering tools that runs on in-memory sample data until you connect Snowflake, BigQuery, or Databricks.
Plugin data-workers from marketplace dataworkers in DataWorkersProject/dataworkers-claw-community. Commands read from the repo's manifest — 20 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
incident-rcaWalk a data incident from symptom to root cause: correlate the anomaly, trace the failing upstream job, and produce a root-cause narrative with the evidence chain.
quality-auditRun a full data-quality audit on a table or pipeline: quality score, rule checks, anomalies with context, and concrete fixes ranked by impact.
trace-lineageTrace end-to-end lineage for any table or column across catalogs. Answers 'where does this data come from and what breaks if it changes' with a source-to-consumer chain.
data-workersruns: npx -y dw-claw
Core Ruflo MCP tools, commands, and Claude Code orchestration patterns
5 skills · 2 commands · 4 agents · 1 MCP server · hooks
Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and manage local and cloud deployments.
35 skills · hooks
Governed catalog discovery for Informatica Intelligent Data Management Cloud (CDGC): find tables, columns, files, glossary terms and policies across the enterprise catalog, check ownership, certification, sensitivity and applicable policy, and get safe-usage guidance grounded in catalog metadata before querying any data. Requires an Informatica IDMC tenant and the Informatica Catalog Discovery connector.
1 skill · 2 MCP servers
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.
1 skill
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Skills for Knowledge Catalog.
1 MCP server
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