选项

生成涵盖所有关联来源的每日或每周活动汇总报告。适用于以下场景:在缺席一段时间后需要补上进度时;开始新的一天并希望了解提及内容和待办事项的概览时;或者按项目分类回顾一周内的决策和文档更新时。

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18
更新时间 2026-08-27

关于digest

digest 命令会扫描所有已连接数据源中的近期活动,并生成一份结构化的重要事项摘要。该命令旨在帮助用户在缺席一段时间后快速了解情况、通过提及内容和待办事项清单开启新的一天,或按项目分类回顾一周内的决策和文档更新。

时间范围由参数控制:--daily 覆盖过去 24 小时(默认),--weekly 覆盖过去 7 天,自定义的 --since 参数可接受“昨天”、“周一”或具体日期等输入。 该工具首先会检查已连接的 MCP 数据源(聊天、电子邮件、云存储、项目跟踪器、CRM 和知识库),若未连接任何数据源,则会引导用户至少连接一个。 随后,系统会按数据源汇总活动,例如聊天中的提及和对话线程、邮件收件箱中的回复、云存储中修改或共享的文档、项目跟踪器中分配的任务、CRM 中的商机和客户账户更新,以及知识库中更新的维基页面。

收集到的项目被分类为待办事项、决策、提及和更新,随后按主题或项目而非按来源进行分组,相关跨来源活动会被合并并去重,因此同一项决策若同时出现在聊天和邮件中,仅计为一次。 输出结果首先列出待办事项,随后是决策、主题组、提及和文档更新,最后以统计摘要收尾。如果某个来源无法访问,digest 仍会基于成功获取的来源生成报告,并注明被跳过的来源;它还可以使用CLAUDE.md等记忆系统来解析人员和项目引用。

常见问题

digest 支持哪些时间范围?

使用 --daily 获取过去 24 小时的数据(默认),使用 --weekly 获取过去 7 天的数据,或使用 --since 并指定值(如 yesterday、Monday 或具体日期)。

它可以从哪些来源提取活动数据?

任何已连接的 MCP 数据源,包括聊天、电子邮件、云存储、项目跟踪器、CRM 以及知识库。

如果某个数据源无法访问会怎样?

digest 仍会根据成功获取数据的来源生成,并标注无法访问的来源;单个来源的故障绝不会阻塞整个digest 的生成。

输出内容是如何组织的?

按主题或项目而非按数据源进行组织,首先列出待办事项,接着是决策、主题组、提及内容和文档更新,最后以统计摘要收尾。

它会避免重复列出同一事件吗?

是的,跨来源的活动会进行去重处理,因此同一项决策若同时出现在聊天和电子邮件中,系统会将其作为单条记录报告。

在 GitHub 上查看

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Scan recent activity across all connected sources and generate a structured digest highlighting what matters.

Instructions

1. Parse Flags

Determine the time window from the user's input:

  • --daily — Last 24 hours (default if no flag specified)
  • --weekly — Last 7 days

The user may also specify a custom range:

  • --since yesterday
  • --since Monday
  • --since 2025-01-20

2. Check Available Sources

Identify which MCP sources are connected (same approach as the search command):

  • ~~chat — channels, DMs, mentions
  • ~~email — inbox, sent, threads
  • ~~cloud storage — recently modified docs shared with user
  • ~~project tracker — tasks assigned, completed, commented on
  • ~~CRM — opportunity updates, account activity
  • ~~knowledge base — recently updated wiki pages

If no sources are connected, guide the user:

To generate a digest, you'll need at least one source connected.Check your MCP settings to add ~~chat, ~~email, ~~cloud storage, or other tools.

3. Gather Activity from Each Source

~~chat:

  • Search for messages mentioning the user (to:me)
  • Check channels the user is in for recent activity
  • Look for threads the user participated in
  • Identify new messages in key channels

~~email:

  • Search recent inbox messages
  • Identify threads with new replies
  • Flag emails with action items or questions directed at the user

~~cloud storage:

  • Find documents recently modified or shared with the user
  • Note new comments on docs the user owns or collaborates on

~~project tracker:

  • Tasks assigned to the user (new or updated)
  • Tasks completed by others that the user follows
  • Comments on tasks the user is involved with

~~CRM:

  • Opportunity stage changes
  • New activities logged on accounts the user owns
  • Updated contacts or accounts

~~knowledge base:

  • Recently updated documents in relevant collections
  • New documents created in watched areas

4. Identify Key Items

From all gathered activity, extract and categorize:

Action Items:

  • Direct requests made to the user ("Can you...", "Please...", "@user")
  • Tasks assigned or due soon
  • Questions awaiting the user's response
  • Review requests

Decisions:

  • Conclusions reached in threads or emails
  • Approvals or rejections
  • Policy or direction changes

Mentions:

  • Times the user was mentioned or referenced
  • Discussions about the user's projects or areas

Updates:

  • Status changes on projects the user follows
  • Document updates in the user's domain
  • Completed items the user was waiting on

5. Group by Topic

Organize the digest by topic, project, or theme rather than by source. Merge related activity across sources:

## Project Aurora- ~~chat: Design review thread concluded — team chose Option B (#design, Tuesday)- ~~email: Sarah sent updated spec incorporating feedback (Wednesday)- ~~cloud storage: "Aurora API Spec v3" updated by Sarah (Wednesday)- ~~project tracker: 3 tasks moved to In Progress, 2 completed## Budget Planning- ~~email: Finance team requesting Q2 projections by Friday- ~~chat: Todd shared template in #finance (Monday)- ~~cloud storage: "Q2 Budget Template" shared with you (Monday)

6. Format the Digest

Structure the output clearly:

# [Daily/Weekly] Digest — [Date or Date Range]Sources scanned: ~~chat, ~~email, ~~cloud storage, [others]## Action Items (X items)- [ ] [Action item 1] — from [person], [source] ([date])- [ ] [Action item 2] — from [person], [source] ([date])## Decisions Made- [Decision 1] — [context] ([source], [date])- [Decision 2] — [context] ([source], [date])## [Topic/Project Group 1][Activity summary with source attribution]## [Topic/Project Group 2][Activity summary with source attribution]## Mentions- [Mention context] — [source] ([date])## Documents Updated- [Doc name] — [who modified, what changed] ([date])

7. Handle Unavailable Sources

If any source fails or is unreachable:

Note: Could not reach [source name] for this digest.The following sources were included: [list of successful sources].

Do not let one failed source prevent the digest from being generated. Produce the best digest possible from available sources.

8. Summary Stats

End with a quick summary:

---[X] action items · [Y] decisions · [Z] mentions · [W] doc updatesAcross [N] sources · Covering [time range]

Notes

  • Default to --daily if no flag is specified
  • Group by topic/project, not by source — users care about what happened, not where it happened
  • Action items should always be listed first — they are the most actionable part of a digest
  • Deduplicate cross-source activity (same decision in ~~chat and email = one entry)
  • For weekly digests, prioritize significance over completeness — highlight what matters, skip noise
  • If the user has a memory system (CLAUDE.md), use it to decode people names and project references
  • Include enough context in each item that the user can decide whether to dig deeper without clicking through

所有文件

1 个文件

安装 digest

下载技能文件并将其解压到 .claude/skills/ 目录中。

下载ZIP

克隆仓库并复制技能文件到您的项目中。

git clone https://github.com/anthropics/knowledge-work-plugins/blob/main/enterprise-search/skills/digest/SKILL.md # Copy SKILL.md to your .claude/skills/ directory

复制 复制
快速设置: 将技能文件夹复制到 .claude/skills/ 目录下,Claude 会自动检测并使用该技能

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