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a5c-ai/etl-pipeline-builder

SkillScore86Maintained

Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Data Engineer pack

decimalai skills pull a5c-ai-etl-pipeline-builder

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-etl-pipeline-builder/SKILL.md

Raw file: /s/a5c-ai-etl-pipeline-builder/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-etl-pipeline-builder.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

Runs

418

all versions · 30d

Used when offered

used / offered · all versions

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 8d ago

Yes — +86% lift+10% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-14%	0%
case-02	✗→✓	▲ Improved	-32%	0%
case-03	✗→✓	▲ Improved	27%	0%
case-07	✗→✓	▲ Improved	-14%	0%
case-08	✗→✓	▲ Improved	-7%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/specializations/code-migration-modernization/skills/etl-pipeline-builder/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

ETL Pipeline Builder Skill

Builds and manages ETL (Extract, Transform, Load) pipelines for data migration, supporting incremental loads, CDC, and comprehensive monitoring.

Purpose

Enable data pipeline creation for:

Source-to-target mapping
Transformation definition
Incremental load setup
CDC configuration
Pipeline monitoring

Capabilities

1. Source-to-Target Mapping

Define column mappings
Handle schema differences
Configure data type conversions
Manage derived columns

2. Transformation Definition

Data type transformations
Value mappings
Aggregations
Lookups and enrichments

3. Incremental Load Setup

Define watermarks
Configure incremental columns
Handle deletes
Manage merge logic

4. CDC Configuration

Log-based CDC
Trigger-based CDC
Timestamp-based CDC
Full load comparison

5. Error Handling

Define retry policies
Configure dead letter queues
Handle data quality issues
Implement alerting

6. Pipeline Monitoring

Track pipeline metrics
Monitor data volumes
Alert on failures
Generate SLA reports

Tool Integrations

| Tool | Type | Integration Method | |------|------|-------------------| | Apache Airflow | Orchestration | Python | | dbt | Transformation | CLI | | Airbyte | Data integration | API | | Fivetran | SaaS ETL | API | | AWS DMS | Cloud migration | CLI | | Debezium | CDC | Config |

Output Schema

json
{
  "pipelineId": "string",
  "timestamp": "ISO8601",
  "pipeline": {
    "name": "string",
    "source": {},
    "target": {},
    "mappings": [],
    "transformations": [],
    "schedule": "string"
  },
  "artifacts": {
    "dagFile": "string",
    "configFile": "string",
    "sqlFiles": []
  },
  "deployment": {
    "status": "string",
    "url": "string"
  }
}

Integration with Migration Processes

database-schema-migration: Data movement
cloud-migration: Cloud data pipelines
data-format-migration: Format transformation

Related Skills

data-migration-validator: Validation
schema-comparator: Schema mapping

Related Agents

database-migration-orchestrator: Pipeline orchestration
data-architect-agent: Pipeline design

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