paper-writing-assistantlisted

# Paper Writing Assistant Skill ## Value Proposition Transforms raw experimental data and informal notes into high-quality academic text suitable for paper submissions or professor meetings. ## When to Use - **Drafting Sections**: When the user asks to write "Abstract", "Methodology", or "Results". - **Meeting Prep**: When creating summaries for advisor meetings (e.g., "Prepare for the Friday meeting"). - **Reformatting**: When converting code comments or rough notes into LaTeX or polished Markdown. ## Instructions 1. **Structure**: Adhere to the user's preferred structure: - **Background**: Context of the problem. - **Analysis**: Method of investigation. - **Findings**: Data-backed results. - **Conclusion**: Summary and next steps. 2. **Data First**: Always prioritize quantitative data (metrics, tables) over qualitative descriptions. 3. **Comparison**: When comparing models, use tables. - Compare parameters, training data size, inference speed, and accuracy. 4. **Citations**: Use standard citation markers (e.g., `[Author, Year]`) or BibTeX keys if provided. ## Best Practices - **Visuals**: Suggest placeholder figures where data is dense (e.g., `[Figure 1: Success Rate vs Training Steps]`). - **Tone**: Maintain a formal, academic tone. Avoid slang or overly casual language. - **LaTeX Support**: Be ready to generate LaTeX snippets for tables and equations.