Knowledge-work-plugins digest
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.
git clone https://github.com/anthropics/knowledge-work-plugins
T=$(mktemp -d) && git clone --depth=1 https://github.com/anthropics/knowledge-work-plugins "$T" && mkdir -p ~/.claude/skills && cp -r "$T/enterprise-search/skills/digest" ~/.claude/skills/anthropics-knowledge-work-plugins-digest && rm -rf "$T"
enterprise-search/skills/digest/SKILL.mdDigest 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:
— Last 24 hours (default if no flag specified)--daily
— Last 7 days--weekly
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
if no flag is specified--daily - 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