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Skillv1.0.0

seaborn

Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes,

by bytesagain(0) 0 installs
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About

Imported from bytesagain/ai-skills (seaborn/SKILL.md). Install upstream with npx skills add bytesagain/ai-skills --skill seaborn. Copyright stays with the author.

Seaborn Reference

Statistical data visualization.

Commands

Command Description
intro Overview, matplotlib comparison
plots All plot types
styling Themes, palettes, FacetGrid

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/bytesagain-ai-skills-seaborn/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

bytesagain-ai-skills-seaborn.ocm.jsonjson
{
  "ocm": "1",
  "id": "bytesagain-ai-skills-seaborn",
  "kind": "skill",
  "name": "seaborn",
  "description": "Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes, color palettes, and publication-quality export.",
  "publisher": "bytesagain",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "seaborn",
      "python",
      "visualization",
      "statistics",
      "plotting",
      "data-viz",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes, color palettes, and publication-quality export."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/bytesagain/ai-skills",
      "path": "seaborn/SKILL.md",
      "ref": "aba92922e3f0ab6037140d02e118e0e9fa81313b",
      "url": "https://github.com/bytesagain/ai-skills/blob/aba92922e3f0ab6037140d02e118e0e9fa81313b/seaborn/SKILL.md",
      "key": "bytesagain/ai-skills/seaborn/SKILL.md"
    }
  },
  "instructions": "# Seaborn Reference\n\nStatistical data visualization.\n\n## Commands\n\n| Command | Description |\n|---------|-------------|\n| `intro` | Overview, matplotlib comparison |\n| `plots` | All plot types |\n| `styling` | Themes, palettes, FacetGrid |",
  "cost": {
    "context_tokens": 59
  }
}

Fetch it by URL: GET /api/v1/registry/bytesagain-ai-skills-seaborn/manifest?version=1.0.0

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