{
  "schemaVersion": "1.0",
  "item": {
    "slug": "scientific-graphical-abstract-skill",
    "name": "Scientific Graphical Abstract Skill",
    "source": "tencent",
    "type": "skill",
    "category": "效率提升",
    "sourceUrl": "https://clawhub.ai/JackKuo666/scientific-graphical-abstract-skill",
    "canonicalUrl": "https://clawhub.ai/JackKuo666/scientific-graphical-abstract-skill",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/scientific-graphical-abstract-skill",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=scientific-graphical-abstract-skill",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "graphical_abstract_generator.py",
      "requirements.txt"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/scientific-graphical-abstract-skill"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/scientific-graphical-abstract-skill",
    "agentPageUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Scientific Graphical Abstract Generator",
        "body": "AI-Powered Scientific Visualization Tool - Generate editable graphical abstracts for research papers"
      },
      {
        "title": "Description",
        "body": "Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations."
      },
      {
        "title": "Features",
        "body": "Multiple AI Models: Support for Claude, GPT-4o, DeepSeek, and other multimodal models\nEditable SVG Output: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor\nMultiple Chart Types: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams\nData-Driven Visuals: Automatically create charts from CSV/JSON data\nCustomizable Styles: Adjust colors, fonts, layouts to match journal requirements\nPublication Ready: High-quality output suitable for scientific journals"
      },
      {
        "title": "Usage",
        "body": "/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study\n/graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data]\n/graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug\n/graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data"
      },
      {
        "title": "Generate Research Workflow Diagram",
        "body": "/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation → RNA extraction → Sequencing → Data analysis → Results visualization. Use a clean, professional style with blue color scheme."
      },
      {
        "title": "Create Data Visualization",
        "body": "/graphical-abstract Generate a bar chart with the following data:\nModel A: 85% accuracy\nModel B: 92% accuracy\nModel C: 78% accuracy\n\nTitle: Model Performance Comparison\nY-axis: Accuracy (%)\nColor scheme: Professional blue gradient"
      },
      {
        "title": "Generate Mechanism Diagram",
        "body": "/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components."
      },
      {
        "title": "generate",
        "body": "Generate a graphical abstract.\n\nOptionDescription--promptDescription of what to visualize--dataData file (CSV/JSON) for charts--typeChart type: bar, line, pie, scatter, flowchart, diagram--modelAI model: claude, gpt4o, deepseek (default: claude)--styleStyle: minimal, professional, colorful, journal--outputOutput SVG file path--widthCanvas width (default: 800)--heightCanvas height (default: 600)"
      },
      {
        "title": "template",
        "body": "Use predefined templates for common visualizations.\n\nOptionDescription--typeTemplate type: workflow, mechanism, comparison, timeline--promptSpecific requirements"
      },
      {
        "title": "Claude (Recommended)",
        "body": "Best for: Complex diagrams, scientific illustrations\nVision capabilities: Excellent\nAPI: Anthropic Claude API"
      },
      {
        "title": "GPT-4o",
        "body": "Best for: Charts, data visualization\nVision capabilities: Very good\nAPI: OpenAI API"
      },
      {
        "title": "DeepSeek",
        "body": "Best for: Technical diagrams, cost-effective\nVision capabilities: Good\nAPI: DeepSeek API"
      },
      {
        "title": "Output Format",
        "body": "All outputs are in SVG format which offers:\n\nEditable: Open in Inkscape, Adobe Illustrator, or any text editor\nScalable: Infinite resolution without quality loss\nWeb-ready: Can be embedded directly in websites\nPublication quality: Meets most journal requirements\n\nExample SVG structure:\n\n<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 800 600\">\n  <!-- Editable elements with clear structure -->\n  <g id=\"chart-area\">...</g>\n  <g id=\"labels\">...</g>\n  <g id=\"legend\">...</g>\n</svg>"
      },
      {
        "title": "Notes",
        "body": "For complex visualizations, provide detailed descriptions\nData files should be in CSV or JSON format\nSVG files can be edited after generation\nDifferent models may produce different styles\nJournal-specific requirements can be specified in the prompt"
      },
      {
        "title": "Related Skills",
        "body": "sci-data-extractor - Extract data from scientific papers\nsemanticscholar-search-skill - Search academic papers\npubmed-search-skill - Search biomedical literature"
      }
    ],
    "body": "Scientific Graphical Abstract Generator\n\nAI-Powered Scientific Visualization Tool - Generate editable graphical abstracts for research papers\n\nDescription\n\nGenerate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.\n\nFeatures\nMultiple AI Models: Support for Claude, GPT-4o, DeepSeek, and other multimodal models\nEditable SVG Output: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor\nMultiple Chart Types: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams\nData-Driven Visuals: Automatically create charts from CSV/JSON data\nCustomizable Styles: Adjust colors, fonts, layouts to match journal requirements\nPublication Ready: High-quality output suitable for scientific journals\nUsage\n/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study\n/graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data]\n/graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug\n/graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data\n\nExamples\nGenerate Research Workflow Diagram\n/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation → RNA extraction → Sequencing → Data analysis → Results visualization. Use a clean, professional style with blue color scheme.\n\nCreate Data Visualization\n/graphical-abstract Generate a bar chart with the following data:\nModel A: 85% accuracy\nModel B: 92% accuracy\nModel C: 78% accuracy\n\nTitle: Model Performance Comparison\nY-axis: Accuracy (%)\nColor scheme: Professional blue gradient\n\nGenerate Mechanism Diagram\n/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components.\n\nCommand Reference\ngenerate\n\nGenerate a graphical abstract.\n\nOption\tDescription\n--prompt\tDescription of what to visualize\n--data\tData file (CSV/JSON) for charts\n--type\tChart type: bar, line, pie, scatter, flowchart, diagram\n--model\tAI model: claude, gpt4o, deepseek (default: claude)\n--style\tStyle: minimal, professional, colorful, journal\n--output\tOutput SVG file path\n--width\tCanvas width (default: 800)\n--height\tCanvas height (default: 600)\ntemplate\n\nUse predefined templates for common visualizations.\n\nOption\tDescription\n--type\tTemplate type: workflow, mechanism, comparison, timeline\n--prompt\tSpecific requirements\nSupported Models\nClaude (Recommended)\nBest for: Complex diagrams, scientific illustrations\nVision capabilities: Excellent\nAPI: Anthropic Claude API\nGPT-4o\nBest for: Charts, data visualization\nVision capabilities: Very good\nAPI: OpenAI API\nDeepSeek\nBest for: Technical diagrams, cost-effective\nVision capabilities: Good\nAPI: DeepSeek API\nOutput Format\n\nAll outputs are in SVG format which offers:\n\nEditable: Open in Inkscape, Adobe Illustrator, or any text editor\nScalable: Infinite resolution without quality loss\nWeb-ready: Can be embedded directly in websites\nPublication quality: Meets most journal requirements\n\nExample SVG structure:\n\n<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 800 600\">\n  <!-- Editable elements with clear structure -->\n  <g id=\"chart-area\">...</g>\n  <g id=\"labels\">...</g>\n  <g id=\"legend\">...</g>\n</svg>\n\nNotes\nFor complex visualizations, provide detailed descriptions\nData files should be in CSV or JSON format\nSVG files can be edited after generation\nDifferent models may produce different styles\nJournal-specific requirements can be specified in the prompt\nRelated Skills\nsci-data-extractor - Extract data from scientific papers\nsemanticscholar-search-skill - Search academic papers\npubmed-search-skill - Search biomedical literature"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/JackKuo666/scientific-graphical-abstract-skill",
    "publisherUrl": "https://clawhub.ai/JackKuo666/scientific-graphical-abstract-skill",
    "owner": "JackKuo666",
    "version": "0.1.2",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill",
    "downloadUrl": "https://openagent3.xyz/downloads/scientific-graphical-abstract-skill",
    "agentUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/scientific-graphical-abstract-skill/agent.md"
  }
}