self-correction模型自我检查与纠错技能。当用户表达反对意见或指出错误时触发，如"不对"、"你回答错了"、"不是这样"、"重新理解"、"等等"、"我说的不是这个意思"等表达。用于重新分析和优化用户原始意图，而非修改上一轮回答。
Install via ClawdBot CLI:
clawdbot install hauxu/self-correctionGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 6, 2026
在AI客服或虚拟助手中，当用户指出回答错误或误解时，技能自动触发，重新理解用户意图并提供正确回应。例如，用户询问Python异步调用，AI误答同步代码，用户指出后AI立即纠正。
在线教育平台中，当学生对AI老师的解释提出否定（如“不对，公式错了”）时，技能启动，回溯学生原始问题，修正教学内容，确保知识准确传递。
在代码生成工具中，用户对AI生成的代码不满意（如“不是异步的”、“用错了框架”），技能重新分析需求，输出符合预期的代码示例，提升开发效率。
在项目需求讨论中，用户反馈“我说的处理还包括清洗和可视化”，技能识别遗漏，补全需求分析，生成完整方案，减少沟通成本。
将自我纠错技能集成到AI写作或客户服务SaaS平台中，作为高级功能。企业订阅后，AI可自动纠正错误回答，减少人工介入，提升服务质量。
作为独立API服务开放，第三方开发者按请求次数付费集成到自己的AI应用中。适用于教育、客服等领域，每次纠错处理产生收入。
为特定行业（如医疗咨询、法律助手）定制自我纠错技能，确保专业领域回答的准确性。与行业软件厂商合作，收取项目费或每年维护费。
💬 Integration Tip
集成时需定义触发短语库，并确保技能在检测到反对后优先执行回溯流程，而非直接修改上一回答。
Scored May 6, 2026
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