digest

anthropics/knowledge-work-plugins · updated Apr 8, 2026

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill digest
0 commentsdiscussion
summary

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

skill.md

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 --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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.660 reviews
  • Michael Ndlovu· Dec 28, 2024

    digest is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Harper Kapoor· Dec 24, 2024

    Registry listing for digest matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Michael Haddad· Dec 20, 2024

    I recommend digest for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mei Okafor· Dec 20, 2024

    Useful defaults in digest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kwame Park· Dec 20, 2024

    We added digest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 12, 2024

    Keeps context tight: digest is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Harper Shah· Dec 4, 2024

    digest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Evelyn Jackson· Nov 19, 2024

    Solid pick for teams standardizing on skills: digest is focused, and the summary matches what you get after install.

  • Harper Sharma· Nov 15, 2024

    Useful defaults in digest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Verma· Nov 11, 2024

    digest reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 60

1 / 6