instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D…
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.
Claude Code
$ npx -y skills add anthropics/knowledge-work-plugins --skill digest --agent claude-code
Codex
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a codex -y
Cursor
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a cursor -y
Gemini CLI
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a gemini-cli -y
GitHub Copilot
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a github-copilot -y
OpenCode
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a opencode -y
Windsurf
$ npx skills add anthropics/knowledge-work-plugins --skill digest -a windsurf -y
name: digest description: 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. argument-hint: "[--daily | --weekly | --since <date>]"
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
Scan recent activity across all connected sources and generate a structured digest highlighting what matters.
Determine the time window from the user's input:
The user may also specify a custom range:
Identify which MCP sources are connected (same approach as the search command):
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.
**~~chat:**
**~~email:**
**~~cloud storage:**
**~~project tracker:**
**~~CRM:**
**~~knowledge base:**
From all gathered activity, extract and categorize:
**Action Items:**
**Decisions:**
**Mentions:**
**Updates:**
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)
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])
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.
End with a quick summary:
--- [X] action items · [Y] decisions · [Z] mentions · [W] doc updates Across [N] sources · Covering [time range]
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