data-pipelines
data-pipelines is a Data pipelines & ETL skill for AI agents, published by booklib-ai in the booklib repository on GitHub. Skillspace rates data-pipelines B (85/100) and it passed the safety scan; the rating is based on static analysis only.
Apply Data Pipelines Pocket Reference practices (James Densmore). Covers Infrastructure (Ch 1-2: warehouses, lakes, cloud), Patterns (Ch 3: ETL, ELT, CDC), DB Ingestion (Ch 4: MySQL, PostgreSQL, MongoDB, full/incremental), File Ingestion (Ch 5: CSV, JSON, cloud storage), API Ingestion (Ch 6: REST, pagination, rate limiting), Streaming (Ch 7: Kafka, Kinesis, event-driven), Storage (Ch 8: Redshift, BigQuery, Snowflake), Transforms (Ch 9: SQL, Python, dbt), Validation (Ch 10: Great Expectations, schema checks), Orchestration (Ch 11: Airflow, DAGs, scheduling), Monitoring (Ch 12: SLAs, alerting), Best Practices (Ch 13: idempotency, backfilling, error handling). Trigger on "data pipeline", "ETL", "ELT", "data ingestion", "Airflow", "dbt", "data warehouse", "Kafka streaming", "CDC", "data orchestration".
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 35
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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