업무 자동화
데이터 계보 에이전트 스킬
Data Lineage Agent Skill
- 테스트 모델:
- GPT-4o
- 효과 점수:
- 90/100
- 프롬프트 아카이브
한국어 버전
---
name: data-lineage-agent
description: A skill for creating an agent to analyze data lineage and linkage across database scripts and stored procedures.
---
# Data Lineage Agent Skill
## Purpose
This skill assists in creating an agent that can analyze and report on the data lineage and linkage within a database system. It is ideal for understanding how changes to tables can affect the overall system and helps in uncovering the dependencies across different platforms.
## Steps to Create the Agent
1. **Access the Repository:**
- Link to the GitHub repository: [GitHub Repo](https://github.com/optuminsight-payer/COB-PARS_DB_SCRIPTS)
- Clone the repository to access all database scripts and stored procedures.
2. **Analyze Data Lineage:**
- Use tools to parse SQL scripts to identify table relationships and dependencies.
- Map out the data flow from source tables to final tables.
3. **Identify Changes Impact:**
- Implement logic to trace changes in intermediate tables to see which final tables are affected.
- Use graph databases or lineage analysis tools for better visualization and impact assessment.
4. **Host the Agent:**
- Choose a hosting platform (e.g., AWS, Azure) to deploy the agent for continuous analysis and reporting.
## Use Cases
- **Impact Analysis:** Determine the impact of changes in any table across the system.
- **Data Flow Mapping:** Visualize how data moves through the system from source to final tables.
- **Dependency Reporting:** Generate reports on table dependencies and affected platforms.
## Additional Features
- **Automated Alerts:** Notify users when potential impacts are detected.
- **Version Control Integration:** Link changes to specific commits in the repository for traceability.
## Example Variables
- `${repositoryUrl}`: The URL of the GitHub repository.
- `${platforms}`: List of platforms involved in the data flow.
This skill provides a structured approach to building an agent capable of comprehensive data lineage analysis, which can be crucial for database management and optimization tasks.값을 채워 바로 실행
이 프롬프트에는 채울 곳이 3군데 있습니다. 값을 넣으면 완성된 프롬프트를 만들어 드립니다.
3군데 남음
완성된 프롬프트
---
name: data-lineage-agent
description: A skill for creating an agent to analyze data lineage and linkage across database scripts and stored procedures.
---
# Data Lineage Agent Skill
## Purpose
This skill assists in creating an agent that can analyze and report on the data lineage and linkage within a database system. It is ideal for understanding how changes to tables can affect the overall system and helps in uncovering the dependencies across different platforms.
## Steps to Create the Agent
1. **Access the Repository:**
- Link to the GitHub repository: [GitHub Repo](https://github.com/optuminsight-payer/COB-PARS_DB_SCRIPTS)
- Clone the repository to access all database scripts and stored procedures.
2. **Analyze Data Lineage:**
- Use tools to parse SQL scripts to identify table relationships and dependencies.
- Map out the data flow from source tables to final tables.
3. **Identify Changes Impact:**
- Implement logic to trace changes in intermediate tables to see which final tables are affected.
- Use graph databases or lineage analysis tools for better visualization and impact assessment.
4. **Host the Agent:**
- Choose a hosting platform (e.g., AWS, Azure) to deploy the agent for continuous analysis and reporting.
## Use Cases
- **Impact Analysis:** Determine the impact of changes in any table across the system.
- **Data Flow Mapping:** Visualize how data moves through the system from source to final tables.
- **Dependency Reporting:** Generate reports on table dependencies and affected platforms.
## Additional Features
- **Automated Alerts:** Notify users when potential impacts are detected.
- **Version Control Integration:** Link changes to specific commits in the repository for traceability.
## Example Variables
- `${repositoryUrl}`: The URL of the GitHub repository.
- `${platforms}`: List of platforms involved in the data flow.
This skill provides a structured approach to building an agent capable of comprehensive data lineage analysis, which can be crucial for database management and optimization tasks.- ChatGPT에서 열기 (새 탭에서 열림)
- Claude에서 열기 (새 탭에서 열림)
- Gemini에서 열기 (새 탭에서 열림)
Gemini는 링크로 프롬프트를 전달할 수 없어, 먼저 복사해 주세요.
- Perplexity에서 열기 (새 탭에서 열림)
새 탭이 열리고 프롬프트가 미리 입력됩니다. 서비스에 로그인되어 있어야 할 수 있습니다.
이 프롬프트 사용법
- 대괄호로 표시된 부분을 여러분의 내용으로 바꿔서 입력하세요.
- 모델에 따라 결과가 달라집니다. 원하는 답이 아니면 다른 모델을 쓰거나 구체적인 예시를 하나 덧붙이세요.
- 프롬프트는 한 번에 하나의 메시지로 보내세요. 여러 번에 나누면 지시가 약해집니다.