digest

<!-- Provenance: adapted from anthropics/knowledge-work-plugins (Apache-2.0, (c) Anthropic). Original skill: https://github.com/anthropics/knowledge-work-plugins/tree/main/enterprise-search/skills/digest. Changes for Muse AI: Claude/Cowork product refs -> Muse AI; MCP -> connector; CLAUDE.md -> MUSE.md; ${CLAUDE_PLUGIN_ROOT} -> this skill's directory; /plugin:command refs -> skill refs. -->

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 connector 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 connector 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 --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 (MUSE.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