Top Cs Figure

Top CS Figure

Use the skill's static/dynamic layers; do not reconstruct visual grammar or export rules from memory.

Route the request

1. Read manifest.yaml and every path under always_load.
2. Detect venue, paper_type, and visual_family; resolve figure_task, data_state, output_target, and figure_handoff as runtime parameters.
3. State the route, data boundary, and output target in one short line.
4. Load only the files mapped to the selected axis values.
5. Open references/ only when an on_demand condition applies, especially corpus visual style, statistics, archetypes, accessibility, provenance, revision audit, or spec rendering for figure production tasks.
6. Use generic for unsupported venue/year combinations and tell the user to verify current official formatting rules.

Execute

1. Prefer the shared figure-brief contract when present. Preserve figure_id, claim_ids, research question, evidence status, panel jobs, caption draft, and manuscript callout.
2. If no brief exists, create a minimal figure contract before code: claim, data source, panel map, visual family, metric direction, final size, export formats, and unresolved inputs.
3. Treat data availability as binding. Use supplied data for results; when data are missing, return missing-inputs or a clearly labeled layout mockup without invented values.
4. Use scripts/render_from_figure_spec.py when a YAML render spec and CSV/image source can make the figure repeatable. Prefer strict v3 specs; migrate v1/v2 inputs explicitly and record the migration.
5. Use Python/matplotlib for all plotting, previewing, exporting, and visual QA. Do not add R, Plotly, Altair, OpenRouter, or image-generation routes.
6. Keep method colors, dataset labels, metric direction, baseline order, and terminology aligned with the manuscript.
7. Resolve color through palette_profile: require promoted style evidence and a usable co-occurrence profile for venue-derived mode; otherwise retain generic semantic roles. Report observed anchors, constructed tokens, accessibility metrics, and fallback reason. Never present corpus defaults as official venue rules or acceptance advice.
8. Export SVG as the primary editable artifact, plus PDF and PNG preview by default; add TIFF only for camera-ready or explicit submission bundles.
9. Require plotted-data CSV, normalized spec, render manifest, SVG/PDF/PNG, and structured QA for produced result figures. Run scripts/audit_figure_spec.py for a reproducibility record or revision comparison.
10. Return the fixed output sections from static/core/output-format.md, including unresolved inputs and verification status.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zhiming33416
• Source: zhiming33416/top-cs-paper-skills
• License: MIT

Install and usage instructions live in the source repository linked above.