dsh-paper-survey
Run the following command in DeepSeek Harness:
dsh plugin install zeros335882878/dsh-paper-survey
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install zeros335882878/dsh-paper-survey in DeepSeek Harness to install this plugin; the full source is available at https://github.com/zeros335882878/dsh-paper-survey
About this plugin
Turning several papers into a coherent literature-survey deck is one of the most repetitive and time-consuming parts of research writing: close-reading each paper, extracting contributions, aligning them to research questions, and assembling polished slides. dsh-paper-survey codifies this into a three-step workflow—structured interpretation, user confirmation, and A/B-layout deck generation—so the agent handles the full pipeline from PDF to finished presentation.
The plugin ships three collaborating skills: paper-interpret enforces a five-block reading framework where every design choice is justified against a research question; paper-survey orchestrates the main flow and enforces the rule that no slide is produced until interpretation is approved; paper-deck specifies the A/B two-page layout, verbatim-carry-over principle, and pptxgenjs typesetting conventions, guaranteeing camera-ready output.
It is built for graduate students, research groups, and anyone who must present multi-paper comparisons to advisors or reviewers. A single natural-language prompt in a DSH session triggers the entire pipeline, delivering a structurally consistent, properly formatted survey deck so researchers can focus on the analysis and writing that actually matter.
Use Cases
- Compiling multiple papers into a structurally consistent survey deck
- Interpreting each paper with a fixed five-block framework aligned to research questions
- Generating A/B two-page layout presentations via pptxgenjs
Best For
- Graduate students and postdocs writing literature surveys
- Researchers presenting multi-paper comparisons to advisors or reviewers
- Research groups automating repetitive deck-production workflows
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