'figures' 검색 결과

Analyze ML and AI experiment data with statistical tests, effect sizes, confidence intervals, and figures. The skill validates comparisons and produces an analysis report, statistical appendix, and figure catalog while identifying missing evidence and limitations.

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• Compare model performance across repeated experiment runs
• Measure the effects of removing or changing model components
• Generate comparison charts and training curves from real data

Turn completed experiment analyses into an internal research report that explains findings, figures, limitations, and next actions. Reports connect evidence to decisions and can be saved locally or written into a linked Obsidian project.

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• Write a wrap-up report from completed experiment analyses
• Explain figures and their implications for research decisions
• Record negative results, limitations, and next actions

Convert LaTeX papers and reports into Typst documents, including structure, formatting, equations, figures, tables, citations, and cross-references. Reference guides and symbol mappings help translate individual commands or migrate an entire article.

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• Migrate an academic paper from LaTeX to Typst
• Find Typst equivalents for LaTeX commands and math symbols
• Convert tables, citations, and cross-references

Turn regression results, summary statistics, and simulation output into tables and figures for academic papers. Apply consistent number formatting, labels, and accessible visual styles, then produce files ready to include in LaTeX documents.

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• Format regression results as LaTeX tables
• Compare simulation results in a table
• Plot estimates before and after an intervention

Clean Quarto documents by converting leftover LaTeX commands into Quarto and Pandoc syntax. Update citations, cross-references, figures, tables, and formatting for HTML, PDF, and Word output, with a report of changes and items needing manual review.

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• Clean up LaTeX commands left in a Quarto manuscript
• Fix citations and cross-references for Word or Typst output
• Update old R Markdown chunk options

Turn completed analyses, research plans, and literature reviews into an academic manuscript. The skill proposes an outline for approval, drafts sections around existing tables and figures, and arranges a review of arguments and supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a paper from completed analyses
• Writing an introduction or abstract from existing results
• Planning sections around available tables and figures

Convert LaTeX article manuscripts into Quarto documents for publishing as HTML, PDF, or Word. Preserve mathematical content while adapting document settings, citations, figures, tables, and cross-references, and receive a report of items needing manual review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrate a LaTeX paper to Quarto
• Prepare a manuscript for HTML, PDF, and Word
• Convert citations and cross-references

Turn a research proposal into a corporate finance study using data from the United States, Europe, Japan, or multiple countries. The workflow supports journal selection, Python analysis, statistical checks, and preparation of LaTeX tables and figures.

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• Analyze policy effects on corporate investment and financing
• Select target journals for a research proposal
• Produce regression tables and validation figures

Turn a research proposal on Chinese corporate finance into a structured empirical project. The workflow recommends target journals, guides Python data preparation and statistical analysis, and produces code, LaTeX tables, and figures while recording changes to the analysis plan.

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• Plan empirical research using Chinese firm or city data
• Compare target journals for a research proposal
• Run policy effect and robustness analyses in Python

Develop scientific manuscripts from literature-backed outlines into connected paragraphs. Organize introductions, methods, results, and discussions; integrate citations and figures; and adapt the manuscript to study reporting guidelines and the target journal’s requirements.

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• Turning research outlines into manuscript paragraphs
• Organizing introductions, methods, results, and discussions
• Formatting citations for a target journal

Create slides for research talks, conferences, and thesis defenses. Plan the narrative and timing, incorporate figures and citations, and produce PDF slides or editable PowerPoint presentations with consistent visual design.

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• Prepare a conference talk around key research findings
• Build a thesis defense presentation
• Adapt research figures for a seminar

Use this skill whenever the user wants to generate detailed English prompts for AI image tools (NanoBanana / Gemini / DALL-E / Midjourney) to produce top-conference-quality academic figures — including framework diagrams, network architecture diagrams, pipeline flowcharts, module detail diagrams, comparison/ablation figures, and data pattern grids — especially when the user says "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academic diagram prompt", or provides a LaTeX/PDF/Word paper and asks for figure prompts. If the user has not specified a color scheme, present the 8 preset palette options and color tool links before generating any prompt.

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Use whenever you generate or review a chart, plot, table, or paper figure in this workspace, including work delegated by paper-writing, literature-survey, and experiment skills. Applies the Open Science publication style, enforces readable final-size layout for figures and tables, and rejects generic diagram-tool output as a publication figure. Interactive Plotly/HTML may be used for exploration, but paper delivery requires a static publication-ready export.

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Use this skill when visualising drone simulation results. Produces three matplotlib figures — desired vs actual trajectories, instantaneous error, and cumulative absolute error — for all 5 state groups (position, orientation, velocity, angular velocity, acceleration). Saves figures to a plots/ directory automatically.

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Installs and configures ktx, the open-source context layer for data agents — runs ktx setup non-interactively with hidden CLI flags, configures database connections and embeddings, installs agent integration, and verifies readiness. Use when the user asks an agent to add ktx to a project, connect data sources, install agent rules, ingest schema, or troubleshoot a local ktx install.

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Use when building figures and tables for an Agricultural Systems (AgSy) manuscript so exhibits communicate interactions, dynamics, trade-offs, and model performance clearly. AgSy is a systems journal, so the best exhibits show trade-off frontiers, observed-vs-simulated fit, resource flows, and conceptual system diagrams — not just a bar chart of one treatment. Designs exhibits; it does not run the analysis.

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Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regression/moment tables — to AEA house standards and macro conventions. Formatting and clarity; it does not generate the underlying estimates.

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Use when presenting results for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — propositions, numerical examples, schematic theory figures, and empirical/experimental tables. Builds exhibits to AEA house norms; it does not derive the results (see aejmic-theory-model).

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Use when building or revising exhibits for an AEJ: Economic Policy manuscript so they meet AEA house style and carry the policy message — no significance asterisks, a self-contained headline exhibit, and figures that show the policy effect with uncertainty. Designs exhibits; it does not run the estimation or write the surrounding prose.

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Use when building the conceptual exhibits of an Academy of Management Review (AMR) manuscript — process models, 2x2 typologies, multi-level frameworks, and propositions tables that carry theoretical work. These are CONCEPTUAL figures, NOT data plots; AMR has no charts of results because it has no data.

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Use when building the exhibits of an Accounting, Organizations and Society (AOS) manuscript — data-inventory and evidence tables for qualitative work, cell-means and process-test tables for experiments, and figures that carry theoretical weight — in Elsevier-compatible format. Builds exhibits; it does not run the analysis (aos-data-analysis).

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Use when finalizing tables and figures for a 《会计研究》 (Accounting Research) manuscript — keeping the main table lean, reporting coefficients with the right precision, and interpreting economic magnitude (not just significance stars) for accounting measures. Use after robustness is settled.

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Use when building or cleaning the tables and figures for an Academy of Management Journal (AMJ) manuscript — correlation tables, regression/SEM/HLM result tables, the theoretical-model figure, and interaction plots in AOM house style. Finalizes exhibits; it does not run the analysis (amj-data-analysis) or frame the contribution (amj-contribution-framing).

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Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and CVD-safe palettes. Covers seaborn integration, common chart types, axis formatting, and the small gotchas that distinguish reproducible matplotlib from notebook scratch. Use when producing publication figures in Python — RNA-seq scatter, single-cell embeddings, generic biological plotting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.