ask-skill小智追问框架 v6.2 — 结构化追问与深度分析引擎。 核心能力:接收模糊判断 → 通过结构化追问收敛 → 输出带置信度的清晰结论。 ## 声明的运行时权限 | 资源 | 用途 | 路径 | |------|------|------| | SQLite 存储 | 跨会话批评记忆 | /workspace/ask...
Install via ClawdBot CLI:
clawdbot install gloryjack/ask-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 12, 2026
企业客服系统接入ask框架,利用Triage分类快速响应L类咨询,M类问题使用标准流程确保证据充分,H类复杂投诉采用全量分析,提升问题解决率和客户满意度。
分析师使用ask框架对宏观经济或资产进行H类分析,通过束搜索、独立批评者和Monte Carlo模拟生成多情景预测,并披露不确定性类型,辅助制定投资策略。
医生输入病例问题,ask框架分类为L(单一指标)、M(常见病诊断)或H(复杂罕见病),调用批评记忆库和历史数据,输出置信度评分及残差风险,辅助临床决策。
研究机构使用ask框架分析政策影响,对H类问题执行全量流程,生成含情景树、Monte Carlo模拟和不确定性披露的分析报告,供决策者参考。
学生或研究者提问学术问题,ask框架按复杂度分类:L类事实核查,M类论证分析,H类跨学科综合,利用批评记忆库和真值加权评分提升思考深度。
按ask框架使用量或套餐收费,企业客户根据问题复杂度选择L/M/H配额,提供API集成和私有化部署选项。
为金融、医疗等垂直行业提供定制化分析服务,收取咨询费,使用ask框架保证分析质量和可解释性。
将ask框架作为技术组件授权给第三方平台(如客服SaaS、投研工具),收取一次性授权费或收入分成。
💬 Integration Tip
优先集成SQLite批评记忆库,根据问题复杂度自动选择执行路径,确保L/M/H类问题均能自适应处理。
Scored Jul 6, 2026
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