生成涵蓋所有連線來源的每日或每週活動摘要。適用於在暫離後補上進度、開始新的一天時想掌握提及內容與待辦事項的摘要,或是檢視按專案分組的一週決策與文件更新。
...展開全部關於digest
digest 指令會掃描所有已連線資料來源的近期活動,並針對重要事項產生結構化的摘要。此指令旨在協助使用者在暫離後快速掌握最新動態、以提及內容與待辦事項清單開啟新的一天,或是檢視按專案分組的一週決策與文件更新。
時間範圍可透過參數控制:--daily 涵蓋過去 24 小時(預設值)、--weekly 涵蓋過去 7 天,而自訂的 --since 參數可接受「昨天」、「星期一」或特定日期等輸入。 系統會先檢查已連線的 MCP 資料來源(聊天、電子郵件、雲端儲存、專案追蹤器、CRM 及知識庫),若尚未連線任何來源,則會引導使用者至少連線一個。 接著會根據各來源彙整活動,例如聊天中的提及與討論串、電子郵件收件匣中的回覆、雲端儲存中的文件修改或分享、專案追蹤器中的指派任務、CRM 中的商機與客戶帳戶更新,以及知識庫中更新的維基頁面。
收集到的項目會分類為「待辦事項」、「決策」、「提及」和「更新」,接著按主題或專案而非來源進行分組;相關的跨來源活動會被合併並去除重複,因此同一項決策若同時出現在聊天和電子郵件中,僅計為一次。 輸出結果首先列出待辦事項,接著是決策、主題群組、提及內容及文件更新,最後以統計摘要作結。若某個來源無法存取,digest 仍會根據成功擷取的來源生成報告,並註明哪些來源被跳過;此外,它還能利用 CLAUDE.md 等記憶系統來解碼人員與專案的引用資訊。
常見問題
digest 支援哪些時間範圍?
使用 --daily 可取得過去 24 小時的資料(預設值),使用 --weekly 可取得過去 7 天的資料,或使用 --since 並搭配如「昨天」、「星期一」或特定日期等參數。
它能從哪些來源擷取活動資料?
任何已連線的 MCP 來源,包括聊天、電子郵件、雲端儲存、專案追蹤系統、CRM 以及知識庫。
若其中一個來源無法連線會如何?
系統仍會根據成功擷取的來源生成digest ,並註明無法連線的來源;單一來源失敗絕不會阻礙整個digest 的運作。
輸出內容是如何組織的?
輸出內容是按主題或專案而非按來源進行組織,首先列出待辦事項,接著是決策、主題群組、提及內容及文件更新,最後以統計摘要作結。
是否會避免重複列出同一事件?
是的,跨來源的活動會進行去重處理,因此若某項決策同時出現在聊天室和電子郵件中,系統會將其視為單一條目進行報告。
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
--dailyif 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





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