Digest

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

精選僅含說明Productivity & Workflow
AI 產生的概覽

產生每日或每週活動摘要,彙整已連接來源的資訊,依主題分組並優先列出待辦事項。

功能
在選定的時間範圍內掃描已連接來源(例如聊天、電子郵件、雲端儲存、專案追蹤工具、CRM 和知識庫)中的近期活動。擷取並歸類待辦事項、決策、提及和更新,然後依主題或專案而非來源分組。輸出結構化摘要,包含來源標註、日期和結尾的統計彙總,並說明無法存取的來源。
適用情境
適用於離開一段時間後需要補看資訊、開始一天工作並想了解提及和待辦事項摘要,或回顧一週的決策和文件更新並依專案分組時。支援每日、每週或自訂日期範圍。
執行需求
需要至少一個已連接的 MCP 來源(聊天、電子郵件、雲端儲存、專案追蹤工具、CRM 或知識庫)以及對這些服務的存取權限。僅為指令,不附帶指令碼。

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

來源與署名

來源:anthropics/knowledge-work-plugins位於enterprise-search/skills/digest提交ae1513e

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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