paper-framework-figure
Use when creating, designing, or improving a framework, overview, architecture, system model, pipeline, teaser, or comparison figure in an academic paper. This umbrella skill routes to focused figure modules for Introduction teaser figures, Methods pipeline or architecture figures, IEEE system model figures, comparison or motivation figures, multi-panel layouts, captions, and LaTeX integration, with a Python-first workflow that generates editable SVG and companion PDF outputs without external GUI tools.
DeepseekModel
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v1.0.0
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name paper-framework-figure description Use when creating, designing, or improving a framework, overview, architecture, system model, pipeline, teaser, or comparison figure in an academic paper. This umbrella skill routes to focused figure modules for Introduction teaser figures, Methods pipeline or architecture figures, IEEE system model figures, comparison or motivation figures, multi-panel layouts, captions, and LaTeX integration, with a Python-first workflow that generates editable SVG and companion PDF outputs without external GUI tools. version 1.3.0 author terry license MIT tags ["Figures","Python","SVG","PDF","LaTeX","Academic","NeurIPS","ICML","ICLR","IEEE","Framework Diagram","Overview Figure","Architecture"] dependencies [] Paper Framework Figure Umbrella skill for academic structural figures. Use it to classify the figure job first, then load only the modules needed for that job. This skill is for conceptual / structural figures : framework or overview figures teaser figures in the Introduction method pipelines and workflow diagrams architecture figures system model figures comparison or motivation figures multi-panel structural layouts This skill is not for experimental plots such as curves, bar charts, histograms, CDFs, or ablations shown as data plots. Design Logic Do not treat all paper figures as one task. The correct design depends on: the figure's rhetorical role the paper section where it appears the venue style the required SVG structure and PDF placement constraints Use this skill as a router: Identify the figure's primary role. Load the matching function module from references/ . Load cross-cutting modules only if needed. Use a Python-first workflow that produces an editable SVG as the source artifact. Export a companion PDF for paper integration. Produce the figure spec, implementation guidance, caption, and integration guidance. If a figure seems to do multiple jobs, pick one primary message and route by that. If needed, load one secondary module, but do not merge several independent stories into one overloaded figure. Routing Choose by Figure Function First Primary role Typical section Load this module Teaser / paper-level overview Introduction, Fig. 1 references/teaser-overview.md Method pipeline / workflow Start of Methods references/pipeline-workflow.md Model architecture / component interaction Methods / Model references/architecture.md IEEE-style topology / geometry / network setup System Model references/system-model.md Comparison / motivation / before-vs-after Introduction / Related Work / Methods references/comparison-motivation.md Multi-panel structural figure Any section references/multi-panel-layout.md Load Cross-Cutting Modules as Needed references/foundations.md Use for universal rules, layout, color, venue constraints, and tool selection. references/python-svg-workflow.md Use by default for the Python-first tool stack, editable SVG workflow, and PDF export path. references/icon-and-assets.md Use when the figure needs icons, imported SVG assets, or illustration sourcing rules. references/captioning-and-integration.md Use when writing captions, checking notation consistency, exporting, or integrating into LaTeX. references/quality-checklist.md Use during review, refinement, or pre-submission checking. Section-Aware Defaults Paper section is a routing hint, not the main taxonomy: Introduction usually maps to teaser-overview.md or comparison-motivation.md . Methods usually maps to pipeline-workflow.md or architecture.md . System Model usually maps to system-model.md . Results / Discussion only use this skill when the figure is conceptual rather than data-driven. Working Procedure Step 1: Classify the Request Extract: venue or target style: ML/AI, IEEE, or general section placement: Introduction, Methods, System Model, etc. figure function: teaser, pipeline, architecture, topology, comparison required output medium: editable SVG source plus exported PDF Step 2: Load the Minimum Modules Always start with: references/foundations.md references/python-svg-workflow.md Then load one primary function module. Add only the extra modules needed for: multi-panel composition icons and sourced assets captions and integration quality review Step 3: Choose the Tool Deliberately Default policy: Prefer Python scripts to define structure, layout, and repeated geometry. Use editable SVG as the primary figure artifact. Export PDF from the SVG output for paper integration. Do not route to TikZ or external GUI editors in the normal workflow. Step 4: Produce a Figure Specification Before drawing, define: the single takeaway the figure structure and panel plan the semantic meaning of boxes, arrows, colors, and enclosures the caption outline target width and export format Step 5: Validate Before Finalizing Check: one figure, one message caption is self-contained no title text inside the figure font size is readable symbols match the paper width fits the venue output is vector unless raster is explicitly required Non-Negotiable Rules These apply across all modules: A framework figure must communicate without surrounding text. Caption must do the title's job; do not place a title inside the figure. Do not encode meaning by color alone. Keep flow left-to-right or top-to-bottom unless topology dictates otherwise. Use vector output for structural figures whenever possible. Keep visual hierarchy explicit: primary components stronger than secondary ones. Keep arrow semantics consistent within one figure. Deliverables Depending on the request, the output should include some or all of: figure concept or layout spec Python-first implementation recommendation box / arrow / panel semantics caption draft editable SVG generation guidance export and LaTeX integration instructions Reference Map references/foundations.md - global rules, tool selection, venue styling references/python-svg-workflow.md - default Python-first workflow, editable SVG generation, and PDF export references/teaser-overview.md - Fig. 1 teaser and paper-level overview figures references/pipeline-workflow.md - staged method pipelines and workflows references/architecture.md - component diagrams and model structures references/system-model.md - IEEE topology and geometry figures references/comparison-motivation.md - prior-vs-ours and problem-motivation figures references/multi-panel-layout.md - panel composition across figure types references/captioning-and-integration.md - captions, notation, export, LaTeX placement references/icon-and-assets.md - icons, SVG assets, and visual asset sourcing references/quality-checklist.md - common failure modes and pre-submission checks
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| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |