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Digest

AnthropicOfficialPublished by Anthropic

  • Skill
  • Content generator
  • Business and productivity
  • Apache-2.0
  • No issues found

From the author

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.
— the description by Anthropic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The digest skill aggregates activity from various connected sources like chat, email, cloud storage, project trackers, and CRMs to provide a unified summary of work. By organizing information by project or topic rather than by source, it helps users quickly identify action items, recent decisions, and relevant updates, making it an effective tool for catching up after time away or starting a new work cycle.

What it does

  • Scans connected sources for recent activity within a specified time window.
  • Extracts and categorizes action items, decisions, mentions, and document updates.
  • Groups information by project or theme to provide context-rich summaries.
  • Deduplicates cross-source activity to reduce noise.
  • Provides a structured report including summary statistics.
  • Handles partial source availability gracefully by reporting on reachable tools.

When to use it

  • Starting your workday to identify immediate priorities and action items.
  • Catching up on project progress after being away from work.
  • Reviewing a week's worth of decisions and document changes.
  • Consolidating updates from fragmented communication channels.

Advantages

  • Saves time by centralizing information from multiple platforms.
  • Reduces cognitive load by grouping updates by project context.
  • Prioritizes actionable tasks to help focus the workday.
  • Provides a high-level overview while maintaining necessary context.

Usage examples

“digest”
Generates a daily summary of activity from all connected sources for the last 24 hours.
“digest --weekly”
Produces a consolidated report of all project updates, decisions, and action items from the past 7 days.
“digest --since Monday”
Compiles a digest of all relevant activity and mentions occurring since the start of the week.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/anthropics/digest/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip digest.zip -d .agents/skills

Documentation by Anthropic

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

Files

ATTRIBUTION.md

Attribution

This folder is an unmodified copy of the Agent Skill "digest", distributed by AutoGineer (https://autogineer.com/agent-skills).

The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.

Files added by AutoGineer

  • ATTRIBUTION.md: this file, written by AutoGineer

  • LICENSE: copied from enterprise-search/LICENSE

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Anthropic
Publisher
Anthropic (Official)
Source
anthropics/knowledge-work-plugins · enterprise-search/skills/digest · commit e050c2e
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from enterprise-search/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Anthropic or Anthropic.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download digest.zip