Digest

作者 anthropicsae1513ea94dc无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Generate a daily or weekly digest of activity across all connected sources. Use when catching up after time away, starting the day and wanting a summary of mentions and action items, or reviewing a week's decisions and document updates grouped by project.

精选仅含说明Productivity & Workflow
AI 生成的概览

生成每日或每周活动摘要,汇总已连接来源的信息,按主题分组并优先列出待办事项。

功能
在选定的时间范围内扫描已连接来源(如聊天、邮件、云存储、项目跟踪工具、CRM 和知识库)中的近期活动。提取并归类待办事项、决策、提及和更新,然后按主题或项目而非来源进行分组。输出结构化摘要,包含来源标注、日期和结尾的统计汇总,并说明无法访问的来源。
适用场景
适用于离开一段时间后需要补看信息、开始一天工作并希望了解提及和待办事项摘要,或回顾一周的决策和文档更新并按项目分组时。支持每日、每周或自定义日期范围。
运行要求
需要至少一个已连接的 MCP 来源(聊天、邮件、云存储、项目跟踪工具、CRM 或知识库)以及对这些服务的访问权限。仅为指令,不附带脚本。

Digest Command

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

来源与署名

来源:anthropics/knowledge-work-plugins位于enterprise-search/skills/digest提交ae1513e

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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