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CuiMuxuanCuiMuxuan/academic-codex-skills/skills/academic-figure-workflow/SKILL.md

academic-figure-workflow

Skill8 starsChanged 5 months agoMITView on GitHub

Create, revise, or inspect evidence-backed academic plots and diagrams with editable sources. Use for figure work itself, not manuscript prose or page formatting. 适用于论文作图、修图与图形质量检查。

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We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the relevant branch, not this entire reference collection.

    line 28
  2. Distinctive:

    Do not reset the recorded review count to obtain approval.

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Academic Figure Workflow

Preserve scientific meaning and the user's requested scope. Do not invent data, mechanisms, code structure, or experimental images. Retain editable sources and notation; a screenshot is not a replacement for a figure source.

Choose The Task Mode

RequestWork and completion
Local edit or read-only inspectionWork with the existing SVG, Draw.io, or plotting source. Preserve user styling; do not redraw or migrate to YAML unless requested. Inspect affected rendering/exports, report the change or findings, and do not claim whole-figure publication approval from a local check. Read-only inspection does not modify the source.
New draft or design explorationUse supplied facts and clearly identified assumptions. Choose an appropriate editable format; no full manuscript intake is needed. Missing evidence limits claims and publication status, not the ability to make a labelled concept draft or storyboard.
Reproducible or submission packageUse the bundled YAML generator and package workflow. Preserve its provenance, editable-source, export, and QA contract. Draft package generation is available without claiming submission readiness.

Choose from the requested deliverable; ask only when an unresolved choice materially changes the result. A simple edit does not require claim anchors, new sidecars, or full-package QA unless it modifies an existing package whose consistency must be maintained. In that case update its canonical source and rebuild affected outputs; do not leave a stale manifest or approval.

Choose Relevant Guidance

Read the relevant branch, not this entire reference collection.

Decision or taskReference
Chart selection, data mappings, or statistical encodingsData visualization advisor, before plotting
Complex, multi-panel, or evidence-sensitive figure argumentFigure argument contract
New SVG mechanism or Draw.io engineering diagramSVG and Draw.io diagrams
Authoring a generator specFigureSpec schema; for diagrams, diagram spec
Model architecture layoutArchitecture contract
Dense workflow layout or engine comparisonFlowchart engine comparison
Microscopy, photographs, or other image panelsImage integrity, before image processing
AI-generated supporting bitmapAI image-generation gate, before generation
Choosing between production methodsMethod selection
Final submission inspection without a packageRendered figure QA
Publication package acceptancePackage QA
Design examples or an unfamiliar figure typeReference gallery; obey its asset licence and private-reference restrictions

For new work, prefer Matplotlib for quantitative plots, Draw.io for editable workflows/engineering diagrams, and SVG for precise mechanism figures. Respect an existing source or explicitly chosen tool. Office/PPT/WPS support in the bundled generator is capability detection only, not native editing; use python scripts/figure_package.py capabilities when that capability matters.

Defaults And Exceptions

Scientific integrity and authorization boundaries always apply. Within those boundaries, use the requested purpose and target venue/template first, then the matching profile, then defaults for unspecified details. If the request conflicts with the target submission guide, resolve that conflict rather than silently choosing one or claiming compliance.

For submission styling, consult publication standards. For format, resolution, or font requirements, consult export standards. For colour/encoding decisions, consult accessibility standards. These are conditional references, not a prerequisite for every edit. Nature-like dimensions and external-title conventions are defaults for that use, not rules for all figures. Do not waive a failing package check to claim a venue override; if the generator cannot express a requirement, report the limitation and retain a draft or use a suitable authorized source/export workflow.

Finish The Requested Work

Continue source corrections and relevant checks while they make progress. Repeated failure without progress calls for a different layout/chart strategy, simplification within scope, or a concrete blocker—not a fixed pass-count cap. Do not reset the recorded review count to obtain approval.

Return the requested source/export or inspection findings, relevant validation status, and unresolved issues. A publication claim requires actual final-size visual inspection and applicable export/evidence checks; command success alone is insufficient. Do not expand a local edit into a manuscript audit or return an unfinished first implementation when the requested checks remain feasible.

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