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smart-illustrator

von axtonliu · axtonliu/smart-illustrator

Claude Code skill that auto-inserts contextual illustrations into articles and covers — Gemini, Excalidraw, and Mermaid combined.

Smart Illustrator analyzes your markdown article, detects optimal illustration points, and picks the right engine for each — Gemini for creative visuals, Excalidraw for hand-drawn diagrams, Mermaid for structured flows. Supports article, slides, and platform-optimized cover modes (YouTube, WeChat, Twitter). Resume-safe so you can re-run without regenerating existing images.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

smart-illustrator-skill.replay ▶ bereit
0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "smart-illustrator-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/axtonliu/smart-illustrator",
        "~/.claude/skills/smart-illustrator"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "smart-illustrator-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/axtonliu/smart-illustrator",
        "~/.claude/skills/smart-illustrator"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "smart-illustrator-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/axtonliu/smart-illustrator",
        "~/.claude/skills/smart-illustrator"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "smart-illustrator-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/axtonliu/smart-illustrator",
        "~/.claude/skills/smart-illustrator"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "smart-illustrator-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/axtonliu/smart-illustrator",
        "~/.claude/skills/smart-illustrator"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json
{
  "context_servers": {
    "smart-illustrator-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/axtonliu/smart-illustrator",
          "~/.claude/skills/smart-illustrator"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add smart-illustrator-skill -- git clone https://github.com/axtonliu/smart-illustrator ~/.claude/skills/smart-illustrator

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: smart-illustrator

How to auto-illustrate a long-form blog post

👤 Technical writers and content creators publishing markdown articles ⏱ ~20 min beginner

Wann einsetzen: You have a finished markdown article that needs 4-8 illustrations before publishing, and you don't want to hand-prompt each one.

Voraussetzungen
  • Skill installed under ~/.claude/skills/smart-illustrator — git clone https://github.com/axtonliu/smart-illustrator into that path
  • Gemini API key (for creative visuals) — Export GEMINI_API_KEY; skill reads from env
  • Mermaid CLI if you want diagram rendering — npm i -g @mermaid-js/mermaid-cli
Ablauf
  1. Point the skill at your article
    Run smart-illustrator on posts/2026-04-launch.md in article mode. Pick 5 illustration points.✓ Kopiert
    → Skill echoes chosen positions with one-line rationale each
  2. Review engine choices
    Show me which engine you picked for each illustration and why. Let me override any.✓ Kopiert
    → Per-position table: position → engine → reason
  3. Generate and embed
    Generate all images and write the updated markdown back to the same file.✓ Kopiert
    → Article updated with inline image references; PNGs saved under assets/

Ergebnis: A publishable markdown file with 5 context-appropriate illustrations and a cover image.

Fallstricke
  • Gemini returns a stock-looking image for an abstract concept — Re-run that single position with --engine excalidraw for a sketchy metaphor instead
  • Mermaid syntax fails to render because LLM mis-escaped quotes — Use --prompt-only for diagrams, paste into mermaid.live to debug, then re-inject
Kombinieren mit: banana-claude-skill

Generate platform-optimized covers for a post

👤 Creators repurposing one article across YouTube, WeChat, and Twitter ⏱ ~10 min beginner

Wann einsetzen: You're about to cross-post and need the same concept rendered at 3 different aspect ratios and tones.

Voraussetzungen
  • Finished article title + 1-line hook — Prepare a short prompt; skill uses it as brief
Ablauf
  1. Run cover mode for each platform
    Use smart-illustrator in cover mode for title 'The 2AM Bug That Cost Us $40k' — generate for youtube, wechat, twitter.✓ Kopiert
    → 3 PNGs at correct resolutions, platform-appropriate composition
  2. A/B variants
    Regenerate the YouTube cover with 2 alternative angles so I can A/B test.✓ Kopiert
    → 3 thumbnails, visibly different

Ergebnis: A cover-pack ready to upload across channels without opening a design tool.

Fallstricke
  • Text on cover looks garbled — Gemini text rendering is unreliable — ask skill to add title as post-processing overlay instead

Turn a talk outline into slide infographics

👤 Speakers preparing technical talks from a markdown outline ⏱ ~25 min intermediate

Wann einsetzen: You have a talk outline and want one infographic per key section before designing the deck.

Ablauf
  1. Run slides mode
    Take talk-outline.md, slides mode, one standalone infographic per H2 section.✓ Kopiert
    → One PNG per section, each self-contained
  2. Refine weak ones
    Section 3's infographic is too abstract. Re-do with Excalidraw engine, focus on the 3-step loop.✓ Kopiert
    → Hand-drawn replacement that matches outline

Ergebnis: A folder of slide-ready infographics keyed to your outline.

Fallstricke
  • Infographics don't match your deck's visual style — Pass --style='flat pastel' or a style reference image so outputs stay consistent

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

smart-illustrator-skill + banana-claude-skill

Use Smart Illustrator for diagrams and Banana Claude for photorealistic hero shots in the same post

For posts/launch.md, use smart-illustrator for the architecture diagram at section 2, then banana-claude for a photorealistic hero at the top.✓ Kopiert
smart-illustrator-skill + notebooklm-skill

NotebookLM researches the topic, Claude drafts the article, Smart Illustrator decorates it

Research 'CRDT conflict resolution' with notebooklm, draft a 2000-word article, then illustrate with smart-illustrator.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
detect_illustration_points markdown_path: str, count?: int First pass on any article to decide where images help ~2k Claude tokens
generate_illustration position: str, engine: 'gemini'|'excalidraw'|'mermaid', prompt: str Per chosen position after review 1 Gemini call or 0 (for Mermaid/Excalidraw)
generate_cover title: str, platform: 'youtube'|'wechat'|'twitter', style?: str Cover mode; call once per target platform 1 Gemini call
embed_into_markdown markdown_path: str, illustrations: list Final step after all images are generated 0

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
Gemini free tier: 15 req/min, 1500/day. Mermaid/Excalidraw engines are free (local rendering).
Tokens pro Aufruf
2k-5k Claude tokens for position detection; image generation is separate Gemini quota
Kosten in €
Free with Gemini free tier. Paid Gemini ~$0.04 per image at current rates.
Tipp
Use --prompt-only to draft all prompts, then batch-generate overnight to stay in free tier.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: GEMINI_API_KEY in shell env. No OAuth, no PATs.
Datenabfluss: Article content is sent to Google Gemini for illustration prompts. Do not run on confidential drafts.

Fehlerbehebung

Häufige Fehler und Lösungen

Gemini 429 quota exceeded

Wait for daily reset or upgrade to paid tier. Use --engine mermaid|excalidraw for remaining positions.

Prüfen: curl -s https://generativelanguage.googleapis.com/v1beta/models?key=$GEMINI_API_KEY
Mermaid render fails with 'Parse error'

LLM produced invalid Mermaid. Use --prompt-only, paste into mermaid.live, fix syntax, regenerate.

Prüfen: mmdc -i test.mmd -o test.png
Skill not found by Claude Code

Confirm clone path is ~/.claude/skills/smart-illustrator and SKILL.md exists at root.

Prüfen: ls ~/.claude/skills/smart-illustrator/SKILL.md

Alternativen

smart-illustrator vs. andere

AlternativeWann stattdessenKompromiss
banana-claude-skillYou only need photorealistic hero images, not diagramsNo position detection, no diagram engines
Manual Midjourney/DALL-E workflowYour publication has a strict brand style guide that LLM routing won't respectMore control, much slower

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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