dsh-data-engineering
Run the following command in DeepSeek Harness:
dsh plugin install satan9394/dsh-data-engineering
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install satan9394/dsh-data-engineering in DeepSeek Harness to install the plugin from https://github.com/satan9394/dsh-data-engineering.
About this plugin
Data-engineering tasks are often scattered across scripts, notebooks, and a handful of schedulers, making it hard to bring an LLM Agent into the orchestration loop. dsh-data-engineering is a DeepSeek Harness plugin that slots data-engineering steps into the agent-workflow pipeline, giving the Agent a unified entry point to coordinate data-related tasks.
Released under the MIT license, the plugin follows a lightweight integration model and is still in its early stages. The feature surface is defined by the repository and README rather than by any roadmap, so the scope will evolve as the community contributes.
It is aimed at engineers who already build Agent workflows with DeepSeek Harness and want to fold data-engineering steps into an automated pipeline, as well as developers exploring how LLM Agents can collaborate with data tasks during an early proof-of-concept.
Use Cases
- Orchestrate data-cleaning and transformation steps inside an Agent workflow
- Fold discrete pipeline scripts into an LLM-automated data pipeline
- Validate multi-step LLM collaboration with data-engineering tasks in a PoC
Best For
- Engineers building Agent workflows with DeepSeek Harness
- Backend or data developers automating data-engineering steps
- Early-stage PoC teams exploring LLM-Agent collaboration with data tasks
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