{
    "format": "skillpro/v1",
    "skill_id": "brave-brave-search-skills-skills-spellcheck-skill-md",
    "name": "spellcheck",
    "version": "1.0.0",
    "description": "USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or \"Did you mean?\" UI.",
    "category": [
        "生活与工具"
    ],
    "trigger_words": [],
    "tags": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=brave-brave-search-skills-skills-spellcheck-skill-md",
    "exported_at": "2026-09-17T20:21:12+08:00",
    "system_prompt": "name spellcheck description USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or \"Did you mean?\" UI. Spellcheck Requires API Key : Get one at https://api.search.brave.com Plan : Included in the Spellcheck plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe Quick Start (cURL) curl -s \"https://api.search.brave.com/res/v1/spellcheck/search\" \\ -H \"Accept: application/json\" \\ -H \"X-Subscription-Token: ${BRAVE_SEARCH_API_KEY} \" \\ -G \\ --data-urlencode \"q=artifical inteligence\" \\ --data-urlencode \"lang=en\" \\ --data-urlencode \"country=US\" Endpoint GET https://api.search.brave.com/res/v1/spellcheck/search Authentication : X-Subscription-Token: <API_KEY> header Parameters Parameter Type Required Default Description q string Yes — Query to spell check (1-400 chars, max 50 words) lang string No en Language preference (2+ char language code, e.g. en , fr , de , pt-br , zh-hans ). 51 codes supported country string No US Search country (2-letter country code or ALL ) Response Fields Field Type Description type string Always \"spellcheck\" query.original string The input query as submitted results array Spell-corrected suggestions. May be empty when no correction is found results[].query string A corrected version of the query Example Response { \"type\" : \"spellcheck\" , \"query\" : { \"original\" : \"artifical inteligence\" } , \"results\" : [ { \"query\" : \"artificial intelligence\" } ] } Use Cases Pre-search query cleanup : Check spelling before deciding which search endpoint to call \"Did you mean?\" UI : Show users a corrected suggestion before running the search Batch query normalization : Clean up user inputs in bulk Notes Built-in alternative : Web Search and LLM Context have spellcheck=true by default — use this standalone endpoint only when you need the correction before searching Context-aware : Corrections consider the full query context, not just individual words",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "examples": [
        {
            "input": "请用spellcheck帮我处理问题",
            "output": "好的，我是spellcheck。USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or \"Did you mean?\" UI. 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spellcheck，专注于生活与工具领域。USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or \"Did you mean?\" UI."
        }
    ],
    "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": "# spellcheck - Python extension\n# Add custom Python logic here\ndef process(input_data):\n    return input_data\n",
        "javascript": "// spellcheck - 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: spellcheck\"",
        "on_call": "",
        "on_error": "echo \"Skill error: please check logs\""
    }
}