How do I install the Chart Image skill?

Run npx skillmds@latest add rylaispirit/chart-image in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Chart Image skill do?

Create publication-quality chart images from supplied data using an available plotting library, with explicit scales, labels, and visual QA. It is listed under Coding & Dev Tools on SkillMD.

Is Chart Image safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Chart Image?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Chart Image free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Chart Image?

Rylaispirit (@rylaispirit) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Chart Image by rylaispirit — Agent Skill

Name: Chart Image
Author: Rylaispirit

File contents

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

Inspect the schema, units, missing values, categories, and time fields.
Choose a chart type that matches the analytical question.
Use an available library such as Matplotlib, Seaborn, Plotly, Vega-Lite, or the repository's existing chart stack.
Label axes, units, legends, source, and uncertainty where relevant.
Prefer node scripts/chart.mjs for portable SVG output, or use the repository's installed plotting stack.
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.

Frequently asked questions

Chart Image