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Pugongying Data Skill
by
ShiXiangYu2
· GitHub ↗
· v1.0.1
· MIT-0
285
Downloads
3
Stars
2
Active Installs
2
Versions
Install in OpenClaw
/install pugongying-data-skills
Description
蒲公英数据开发工程师Skill套件 - 专为数据开发工程师设计的完整AI Skill生态系统。 包含7个核心模块：需求分析、架构设计、数据建模、SQL开发、ETL Pipeline、数据质量、数据测试。 当用户需要端到端数据开发解决方案、数据仓库建设、ETL开发、SQL优化、数据质量管理时触发。 触发词：数据开发...
Usage Guidance
This repo is coherent for a data-engineering skillset, but it includes shell scripts (init-project.sh) that the agent may execute and instructions that read/write files in your skills/project directories. Before running: (1) inspect the init scripts for network calls, credential access, or destructive commands; (2) run scripts in an isolated or disposable environment (container or VM) if you’re unsure; (3) verify no unexpected environment variables or external endpoints are referenced by the scripts; (4) if you grant the agent filesystem/Bash permissions, limit its scope or review outputs it will create. If you want, I can summarize or scan the contents of the listed init-project.sh files for potentially risky operations.
Capability Analysis
Type: OpenClaw Skill
Name: pugongying-data-skills
Version: 1.0.1
The 'pugongying-data-skills' bundle is a comprehensive and well-structured toolkit designed for data engineering workflows. It includes seven specialized modules covering the full data lifecycle from requirement analysis to testing. The bundle provides shell scripts (e.g., in architecture-designer/scripts/init-project.sh and etl-assistant/scripts/init-project.sh) that initialize standard project directory structures and generate boilerplate templates for Python ETL, dbt models, and pytest suites. All analyzed code and markdown instructions are strictly aligned with the stated purpose of automating data engineering tasks. No indicators of data exfiltration, unauthorized execution, or malicious prompt injection were found.
Capability Tags
Capability Assessment
Purpose & Capability
Name, description, module SKILL.md files, examples and the included init-project.sh scripts are coherent with an end-to-end data engineering skillset (requirements, architecture, modeling, SQL, ETL, DQ, testing). The presence of many docs, YAML package conventions and project-init scripts is proportionate to the stated purpose.
Instruction Scope
SKILL.md files instruct agents to read repository files (skill-connections.yaml, skill-hub.md, outputs/*.yaml), run shell commands and run packaged init-project.sh scripts. That scope is expected for a project-scaffolding/data-engineering skill but does grant the agent read/write and Bash execution over local files; users should review the scripts before executing to ensure there are no unexpected operations (network calls, credential reads, destructive filesystem changes).
Install Mechanism
No install spec is provided (instruction-only) and no archives or external download URLs are invoked by the package metadata. This is a low-risk distribution model; the only executable artifacts are local shell scripts included in the repo.
Credentials
The package declares no required environment variables, credentials, or config paths. Documentation references cloud services (AWS, Snowflake, etc.) as example target platforms, which is appropriate for this domain and does not imply credential requirements in the package metadata.
Persistence & Privilege
The skill is not force-included (always: false) and uses the normal agent invocation model. Some module SKILL.md files state the agent will use filesystem and Bash tools (Read/Grep/Glob/Edit/Write/Bash) to scaffold projects—this is consistent with init scripts but does mean the skill expects the agent to be allowed to modify local files when invoked.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pugongying-data-skills - After installation, invoke the skill by name or use
/pugongying-data-skills - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
版本 1.0.1：优化了 Skill 套件的一致性和联动性，提升了整体质量和可用性。新增标准化输出格式、联动命令增强、文档体系完善。详细内容请查看 CHANGELOG.md。
v1.0.0
pugongying-data-skills v1.0.0 – Initial release
- Introduces a comprehensive AI skill suite for data engineers, featuring 7 modular assistants: requirement analysis, architecture design, data modeling, SQL development, ETL pipeline, data quality, and data testing.
- Supports end-to-end data development workflows, with intelligent inter-module data flow and standard package outputs to streamline collaboration.
- Adheres to enterprise-level best practices in data engineering, providing standardized outputs and multi-agent collaboration.
- Offers extensive documentation, examples, and troubleshooting guides to facilitate adoption and usage.
- Designed for flexible use: supports both full workflow and independent module invocation triggered by specific keywords.
Metadata
Frequently Asked Questions
What is Pugongying Data Skill?
蒲公英数据开发工程师Skill套件 - 专为数据开发工程师设计的完整AI Skill生态系统。 包含7个核心模块：需求分析、架构设计、数据建模、SQL开发、ETL Pipeline、数据质量、数据测试。 当用户需要端到端数据开发解决方案、数据仓库建设、ETL开发、SQL优化、数据质量管理时触发。 触发词：数据开发... It is an AI Agent Skill for Claude Code / OpenClaw, with 285 downloads so far.
How do I install Pugongying Data Skill?
Run "/install pugongying-data-skills" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pugongying Data Skill free?
Yes, Pugongying Data Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pugongying Data Skill support?
Pugongying Data Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pugongying Data Skill?
It is built and maintained by ShiXiangYu2 (@shixiangyu2); the current version is v1.0.1.
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