client-delivery
Consulting Engagement Skill for Claude
Guides data cleaning engagements from discovery through client handoff. Microsoft-heavy environments, file-based sources, 1-2 day delivery.
When to Use This Skill
Activate when:
- Setting up a new cleaning engagement for a client
- Profiling client schemas and source files
- Selecting the appropriate security tier for data access
- Scaffolding the project directory and templates
- Generating client deliverables (quality report, mapping doc, transform log)
- Preparing for client handoff and post-engagement support
Don't use for: dbt model writing (use dbt-transforms), DuckDB analytical queries (use duckdb), DLT pipeline building (use dlt-extract), pipeline scheduling or orchestration (use data-pipelines).
Scope Constraints
More from dtsong/data-engineering-skills
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3duckdb
Use this skill when working with DuckDB for local data analysis, file ingestion, or data exploration. Covers reading CSV/Excel/Parquet/JSON files into DuckDB, SQL analytics on local data, data profiling, cleaning transformations, and export to various formats. Common phrases: \"analyze this CSV\", \"DuckDB query\", \"local data analysis\", \"read Excel in SQL\", \"profile this data\". Do NOT use for dbt model building (use dbt-transforms with DuckDB adapter) or cloud warehouse administration.
2data-governance
Use this skill when implementing data governance as part of engineering work. Covers data cataloging (dbt docs, external tools), lineage documentation, data classification (PII/PHI taxonomy), access control patterns (RBAC, row-level security), and compliance frameworks (GDPR, HIPAA, SOX, CCPA). Common phrases: \"data catalog\", \"data lineage\", \"PII classification\", \"access control\", \"RBAC\", \"data governance\", \"compliance requirements\". Do NOT use for writing dbt models (use dbt-transforms), pipeline orchestration (use data-pipelines), or data quality testing (use data-testing).
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Use this skill when building DLT pipelines for file-based or consulting data extraction. Covers Excel/CSV/SharePoint ingestion via DLT, destination swapping (DuckDB dev to warehouse prod), schema contracts for cleaning, and portable pipeline patterns. Common phrases: \"dlt pipeline for files\", \"extract Excel with dlt\", \"portable data pipeline\", \"dlt filesystem source\". Do NOT use for core DLT concepts like REST API or SQL database sources (use data-integration) or pipeline scheduling (use data-pipelines).
2data-testing
Use this skill when designing testing strategies for data pipelines, writing SQL assertions, validating pipeline output, or packaging tests as client deliverables. Covers dbt test patterns, pipeline validation, SQL assertion libraries, test coverage targets, and test-as-deliverable packaging. Common phrases: \"data testing strategy\", \"pipeline validation\", \"SQL assertions\", \"test coverage\", \"test as deliverable\", \"data quality tests\". Do NOT use for writing dbt models (use dbt-transforms), DuckDB analytical queries (use duckdb), or pipeline scheduling (use data-pipelines).
2event-streaming
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: \"real-time pipeline\", \"Kafka consumer\", \"streaming vs batch\", \"low latency ingestion\". Do NOT use for batch integration patterns (use data-integration) or pipeline orchestration (use data-pipelines).
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