---
name: "meltano-singer-dataops-pipeline"
description: "Extract and load data across hundreds of SaaS tools and databases using Singer taps and targets."
metadata:
  author: "Meltano"
  version: "1.0.0"
  runtime_compatibility:
    - "codex"
    - "claude-code"
    - "cursor"
    - "windsurf"
triggers:
  - "add meltano tap"
  - "run meltano elt job"
  - "configure meltano environment"
permissions:
  fs_read: true
  fs_write: "workspace"
  shell_exec: false
  net_access: false
---

# Meltano Singer DataOps Pipeline Engine

Builds DataOps ELT pipelines with Meltano: configuring Singer taps (tap-stripe, tap-github, tap-postgres), Singer targets (target-snowflake, target-postgres), environment management, and scheduling jobs.

## When to Invoke
Invoke this skill whenever you need to:
- add meltano tap
- run meltano elt job
- configure meltano environment

## Execution SOP & Rules
1. Initialize project: meltano init my_project; cd my_project.
2. Add extractor and loader: meltano add extractor tap-stripe; meltano add loader target-snowflake.
3. Configure credentials and settings: meltano config tap-stripe set api_key $STRIPE_KEY.
4. Run job: meltano run tap-stripe target-snowflake dbt-snowflake:run.

## Verification Checklist
- Run local linting, syntax validation, and type-checks before reporting completion.
- Ensure all created or modified files adhere to workspace boundaries and avoid uncommitted secrets.
- Verify tests or build commands exit cleanly with return code 0.