Data Pipeline Implementation

---
name: data-pipeline-implementation
description: "Use when applying data pipeline implementation."
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [linux, macos, windows]
metadata:
  hermes:
    tags: [data, pipelines, data-pipeline-streaming]
    related_skills: [general]
---

## Overview
Build data pipelines.

## When to Use
- Design and implement
- Apply best practices
- Optimize performance
- Troubleshoot issues

## Key Approaches
1. Define requirements
2. Choose tools
3. Implement modular
4. Test thoroughly
5. Document decisions
6. Monitor results

## Common Pitfalls
1. Ignoring constraints
2. Skipping standards
3. Poor alignment
4. Inadequate testing
5. No documentation
6. Over-engineering
7. No rollback
8. No monitoring
9. No scalability
10. No validation

## Verification Checklist
- [ ] Requirements validated
- [ ] Standards applied
- [ ] Design reviewed
- [ ] Tests defined
- [ ] Docs complete
- [ ] Monitoring configured
- [ ] Rollback planned
- [ ] Security checked
- [ ] Deploy verified
- [ ] Stakeholder approved