digest
扫描所有连接信息源的近期活动,智能生成个性化摘要,快速掌握团队动态和重要信息
npx skills add anthropics/knowledge-work-plugins --skill digestBefore / After 效果对比
1 组分别打开邮件、Slack、项目管理工具、文档协作平台等多个信息源,手动筛选重要内容,整理成日报或周报,耗时 40 分钟
自动从所有连接的信息源收集活动,智能识别重要事项和决策点,生成结构化摘要,5 分钟获得完整信息概览
description SKILL.md
digest
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 updates
Across [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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