# Chart Image

> Create publication-quality chart images from supplied data using an available plotting library, with explicit scales, labels, and visual QA.

- Skill: `rylaispirit/chart-image` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add rylaispirit/chart-image`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rylaispirit/chart-image/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Rylaispirit (https://skillmd.com/u/rylaispirit)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/rylaispirit/chart-image

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> Rylai Codex-Hermes-Claude Edition | Original portable workflow by Rylai

## Runtime Compatibility

- Codex: install under `~/.agents/skills/chart-image`.
- Hermes: install under `~/.hermes/skills/chart-image` or expose the bundle through `skills.external_dirs`.
- Claude Code: install under `~/.claude/skills/chart-image` or `<project>/.claude/skills/chart-image`.
- Claude.ai and Cowork: upload and enable the matching per-skill ZIP.
- Resolve bundled files relative to this skill directory; do not depend on paths from another machine.
- Check tools, packages, credentials, network access, and runtime capabilities before execution.

# Portable Chart Image

Generate a chart image from the actual supplied data.

## Workflow

1. Inspect the schema, units, missing values, categories, and time fields.
2. Choose a chart type that matches the analytical question.
3. Use an available library such as Matplotlib, Seaborn, Plotly, Vega-Lite, or the repository's existing chart stack.
4. Label axes, units, legends, source, and uncertainty where relevant.
5. Prefer `node scripts/chart.mjs` for portable SVG output, or use the repository's installed plotting stack.
6. Inspect the rendered image for clipping, unreadable labels, misleading scales, and color contrast.

## Integrity

- Do not infer values that are absent from the data.
- Start quantitative axes at an appropriate baseline and disclose truncation.
- Preserve a reproducible script or notebook with the output.

