This skill should be used when the user asks to "generate an AI figure", "make a full AI-generated figure", "make a poster figure", "make a presentation figure", "generate a figure with AI", "create a substrate image", "AI background for a figure", "create a poster background", or wants a pictorial substrate (brain scene, microscope setup, anatomical scene, lab apparatus) generated by AI and then composited with labels and arrows in code. Defaults to the Codex CLI image_gen tool (preferred when `codex login` is configured) or the OpenAI Images API. Hard ceiling: any figure that needs data plots, axis numerals, equations, multi-arrow flowcharts, or more than 5 labeled elements should use scientific-figure or svg-figure instead.
This skill should be used when the user asks to "create a figure", "make a scientific figure", "create a paper figure", "make a figure for my paper", "make a figure for my manuscript", "compose figure panels", "assemble figure panels", "combine figure panels", "make a multi-panel figure", "figure composition", "export a figure", "generate a PDF figure", "create a Nature-style figure", "make a journal figure", "make a publication figure", or "create a figure for my grant". The skill composes multi-panel figures at exact journal dimensions (Nature 89/183 mm, Science 55/120 mm, Cell 85/174 mm, PNAS 87/180 mm) using svgutils, validates font sizes against journal minima before export, and writes PDF/PNG via Inkscape when available or cairosvg otherwise.
This skill should be used when the user asks to "create an SVG figure", "make a schematic", "draw a diagram", "create a schematic diagram", "draw a flowchart", "draw a process flow", "draw a workflow", "draw a workflow diagram", "make an SVG schematic", "create a process diagram", "create a pipeline diagram", "create a block diagram", "draw a system diagram", "system architecture diagram", or wants a hand-authored or programmatic SVG with shapes, arrows, and labels that the figure-qa agent can verify. **For new Python-driven figures, route to `[[svg-primitives]]` instead** — this skill is the conventions and hand-authoring reference. Outputs are SVG files that can be loaded as panel sources by the scientific-figure composer.
This skill should be used when the user asks to "build an SVG schematic in Python", "programmatic SVG diagram", "auto-fit text in an SVG box", "Python flowchart with boxes and arrows", "SVG arrow that snaps to a box edge", "tangent-correct arrowhead on a curve", "SVG with controlled z-order layers", "auto-sized labeled box", "mm-precise SVG schematic", "SVG primitive layer", "draw flowchart from data in Python", "orthogonal SVG arrow routing", "Manhattan-style SVG routing", "bracket group of SVG elements", "leader line annotation", "label a group of SVG shapes", "strict mode svg-primitives canvas", "fail on text overflow in svg-primitives Canvas", "check text overflow on svg-primitives canvas", "Canvas.save validate=strict", or wants to author an SVG diagram in Python where text never overflows its container, arrows always touch their target box edge, paint order is deterministic, and connectors can be straight, cubic, or right-angled — and where validation findings are surfaced as soon as the SVG is saved. F
Use this skill for "initialize project", "set up project", "scaffold project", "create AGENTS.md", "create CLAUDE.md", "set up rules", "create context directory", "vibe rules", "project templates", "init new project", "set up development structure", "create .rules", "create .context", "create ADR", "architecture decision records", "set up GitHub labels", "default issue labels", "project scaffolding", "set up pre-commit hooks", or when the user wants to initialize a new project with cross-agent development templates, structured documentation, and an optional default GitHub label set.
This skill should be used when the user asks to "make an icon", "generate an icon", "create a scientific icon", "make a transparent icon", "make a minimal icon", "icon for a figure", "icon for a paper", "generate an icon set", "batch icons", "icon batch", "batch generate icons", or wants flat scientific icons (brain, neuron, DNA, EEG cap, etc.) in the Nature/Science journal style with transparent backgrounds. Generates PNG icons via the Codex CLI image_gen tool (preferred) or the OpenAI Images API (fallback), then applies transparency via a Pillow threshold by default or rembg + BiRefNet (opt-in, higher edge quality).
This skill should be used when the user asks to "plot data", "make a plot for a paper", "make a publication plot", "create a journal-quality plot", "matplotlib for a figure", "use seaborn", "use plotnine", "use ggplot in Python", "improve plot quality", "style my plot", "clean up my figure", "my matplotlib plot looks ugly", "apply journal style to existing script", "fix matplotlib defaults", "use SciencePlots", "make a Nature-style plot", "make an IEEE-style plot", "make a paper-ready chart", "which plotting library should I use", or wants guidance on choosing between matplotlib / seaborn / plotnine / plotly / pyvista and applying journal-quality defaults. Produces SVG-output Python scripts whose panels are consumed by the scientific-figure composer.
Use this skill for "humanize this text", "remove AI tells", "make this less AI-sounding", "strip AI patterns", "de-AI my writing", "reduce AI-isms", "final natural-writing pass", "check for AI vocabulary", "em dash overuse", "rule of three overuse", "AI vocabulary", "signs of AI writing", or when polishing prose (papers, grants, lit reviews, abstracts, cover letters, responses to reviewers) to remove signs of AI-generated text while preserving meaning and discipline-appropriate conventions.