email-chronicle-analyst深度解析长周期、多参与方、多线程的邮件往来记录。当用户发送 .eml 文件或粘贴邮件正文时自动触发。自动过滤社交辞令，梳理事件演进，定位决策点，清晰呈现各方执行动作与遗留事项。
Install via ClawdBot CLI:
clawdbot install kevinsuzc/email-chronicle-analystGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 22, 2026
项目经理上传数月来涉及技术、商务、运营等多线程的邮件链，系统自动按时间重组、拆分线程、提取各参与方的执行动作和承诺，生成带断点标注和责任归属的复盘报告，用于周会汇报或风险预警。
采购人员汇总与供应商的全部往来邮件，技能自动识别事实性矛盾、断裂链路和超期承诺，输出结构化的证据链报告，辅助合同纠纷谈判或内部审计。
新加入项目的工程师上传历史邮件，系统自动提取项目指纹、人员角色、技术决策和遗留事项，形成清晰的项目背景报告，帮助新人快速上手。
客服团队上传与某个客户的所有支持邮件，技能自动识别问题流转路径、各环节响应时间和责任人，输出 SLA 达标情况分析和改进建议。
跨国项目团队上传中英文混合邮件链，技能自动标注语言切换点、还原引用链，并解释技术术语（如 JWT、UAT），便于非母语成员理解。
按用户数/项目数/分析次数分层收费，提供标准版（每月50次分析）和专业版（无限分析+高级安全功能），客户包括 PMO 部门和集成商。
将邮件分析引擎封装为 API，按调用量或年费授权给 OA/CRM/项目管理软件厂商嵌入其平台，抽取收入分成。
针对大型复杂项目，提供人工+AI 混合的深度复盘服务，输出定制化报告和行动方案，按项目收费。
💬 Integration Tip
通过 Python 脚本接收 .eml 文件预处理后调用 API，或利用 webhook 集成到常见邮箱系统自动触发分析；建议先以项目维度建立指纹库，减少上下文污染风险。
Scored Jul 24, 2026
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