{
    "format": "skillpro/v1",
    "skill_id": "jetbrains-intellij-community-agents-skills-debugging-skill-md",
    "name": "debugging",
    "version": "1.0.0",
    "description": "Debug IntelliJ IDE failures with repository-specific techniques.",
    "category": [
        "开发编程"
    ],
    "trigger_words": [],
    "tags": [
        "ai"
    ],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=jetbrains-intellij-community-agents-skills-debugging-skill-md",
    "exported_at": "2026-09-16T23:18:26+08:00",
    "system_prompt": "name debugging description Debug IntelliJ IDE failures with repository-specific techniques. Debugging Documentation Logger FAQ - Frequently asked questions about logging How to Investigate Freezes - Diagnosing IDE freezes Exception Analyzing FAQ - Analyzing and categorizing exceptions Searching idea.log When debugging IntelliJ code, search idea.log using these patterns: Log Levels: FINE = debug level (from LOG.debug { } ) INFO = info level (from LOG.info() ) Category Format: #<abbreviated.package.path>.<ClassName> Example: com.intellij.openapi.wm.impl.status.IdeStatusBarImpl → #c.i.o.w.i.s.IdeStatusBarImpl Search Examples: # Debug logs from IdeStatusBarImpl grep \"FINE - #c.i.o.w.i.s.IdeStatusBarImpl\" idea.log # Info logs from IdeStatusBarImpl grep \"INFO - #c.i.o.w.i.s.IdeStatusBarImpl\" idea.log # All logs from a class grep \"#c.i.o.w.i.s.IdeStatusBarImpl\" idea.log End-to-End Behavior When fixing issues where a user-facing entry point (script, command, API) doesn't behave as expected: Trace the full execution chain from entry point to actual executor before making changes Identify all layers that handle the relevant behavior - each layer may swallow, transform, or ignore it Verify the fix at the entry point the user actually invokes, not just at the layer you modified Add debugging output if still unsure - add to all layers to trace the issue",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "examples": [
        {
            "input": "请用debugging帮我处理问题",
            "output": "好的，我是debugging。Debug IntelliJ IDE failures with repository-specific techniques. 我会根据你的需求提供专业帮助。"
        },
        {
            "input": "介绍一下你的能力",
            "output": "我是debugging，专注于开发编程领域。Debug IntelliJ IDE failures with repository-specific techniques."
        }
    ],
    "install_guide": {
        "coze": "在 Coze 平台创建 Bot -> 技能配置 -> 导入此 .skill 文件",
        "dify": "在 Dify 平台创建应用 -> 添加知识库 -> 导入此 .skill 配置",
        "claude": "将 system_prompt 字段内容复制到 Claude 自定义指令中",
        "custom": "将此 .skill 文件加载到你的 AI Agent 框架中，解析 system_prompt 和 model_config 即可使用"
    },
    "scripts": {
        "python": "# debugging - Python extension\n# Add custom Python logic here\ndef process(input_data):\n    return input_data\n",
        "javascript": "// debugging - JavaScript extension\n// Add custom JS logic here\nfunction process(inputData) {\n    return inputData;\n}\n"
    },
    "tools": {
        "mcp_servers": [],
        "api_endpoints": []
    },
    "dependencies": {
        "python": [],
        "node": []
    },
    "hooks": {
        "on_load": "echo \"Skill loaded: debugging\"",
        "on_call": "",
        "on_error": "echo \"Skill error: please check logs\""
    }
}