chart-image
Skill56 starsChanged 3 months agoMITView on GitHub
Create publication-quality chart images from supplied data using an available plotting library, with explicit scales, labels, and visual QA.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- zebbern/claude-code-guidetheir own version, first seen Oct 30, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- zebbern/claude-code-guide★ 4.7ksame name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- academic-paper-polishSkill
- academic-pptxSkill
- academic-slidesSkill
- academic-writing-styleSkill
- analytics-data-analysisSkill
- content-analysisSkill
- content-research-writerSkill
- copywritingSkill
- creative-writingSkill
- dashboard-creatorSkill
- data-analyzerSkill
- deep-researchSkill
- document-converter-suiteSkill
- docxSkill
- domain-name-brainstormerSkill
- finance-news-analysisSkill
- finance-skillsSkill
- frontend-designSkill
- image-analyzerSkill
- imageSkill
- markdown-converterSkill
- natural-writingSkill
- netlify-deploySkill
- notion-infographicSkill
- pdfSkill
- pptxSkill
- rylai-pptSkill
- seoSkill
- skill-seekersSkill
- summarizationSkill
- ui-designerSkill
- video-generationSkill
- videoSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Check tools, packages, credentials, network access, and runtime capabilities before execution.
- Distinctive: line 35
Use an available library such as Matplotlib, Seaborn, Plotly, Vega-Lite, or the repository's existing chart stack.
- Very specific: line 37
Prefer node scripts/chart.mjs for portable SVG output, or use the repository's installed plotting stack.
- Distinctive: line 42
Do not infer values that are absent from the data.
- Distinctive: line 43
Start quantitative axes at an appropriate baseline and disclose truncation.
≈ “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.
Files
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-imageor expose the bundle throughskills.external_dirs. - Claude Code: install under
~/.claude/skills/chart-imageor<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.mjsfor 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.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.