Recurring News Digest
Research skill, available on Zeplik
Recurring News Digest is a ready-to-run research skill on Zeplik. Use when the user wants a daily or weekly catch-up digest of activity across their connected sources -- 'what did I miss last week', 'give me my morning digest', 'summarize everything since Monday' -- grouping mentions, action items, decisions, and document updates by project. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
The Recurring News Digest skill loads automatically when your request matches it, or you can invoke it directly by typing /recurring-digest in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the Recurring News Digest skill can do
- Scan chat, email, storage, tasks, CRM and wiki for recent activity
- Group mentions, decisions, updates and action items by project
- Deduplicate the same event when it appears across multiple sources
- Generate a formatted digest with summary stats and source coverage
Try these prompts on Zeplik
Pick a prompt to open it in the Zeplik app. If you are not signed in yet, your prompt is waiting for you the moment you do.
How the Recurring News Digest skill works
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
--dailyif 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
Zeplik output presentation
Present the final deliverable as a single polished artifact: clear headings, tables where the content is tabular, fenced code where it is code. Lead with the deliverable itself; keep process commentary to a single short line. If the skill produced multiple files or sections, end with a compact list of them with one-line purposes.
How to use the Recurring News Digest skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the Recurring News Digest skill right away.
Describe your research task
Ask in plain language, or type /recurring-digest to invoke the skill directly. Zeplik recognizes the Recurring News Digest skill and applies its method.
Review and refine the result
Zeplik returns a clear, structured answer. Ask follow-ups in the same chat to refine it or take the next step.
Source and credit
- Author
- Anthropic
- License
- Apache-2.0
Adapted from the open-source anthropics/knowledge-work-plugins project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the Recurring News Digest skill?
- Recurring News Digest is a ready-to-run research skill on Zeplik. Use when the user wants a daily or weekly catch-up digest of activity across their connected sources -- 'what did I miss last week', 'give me my morning digest', 'summarize everything since Monday' -- grouping mentions, action items, decisions, and document updates by project. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
- How do I use Recurring News Digest on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /recurring-digest in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the Recurring News Digest skill use?
- Any model you choose. Zeplik works across every model in one chat, so the Recurring News Digest skill runs on your preferred model for the task.
- Where does the Recurring News Digest skill come from?
- The Recurring News Digest skill is adapted from the open-source anthropics/knowledge-work-plugins project (Apache-2.0) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the Recurring News Digest skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
Related research skills
- Academic PublishingAcademic publishing workflows — citation/reference management, LaTeX research posters, and venue templates with submission requirements. Use for "manage citations" or "format for a venue / make a poster"; for the writing itself see research-writing.
- Bio Research ToolkitUse when running comp-bio workflows -- single-cell RNA-seq QC, scvi-tools deep models, nf-core pipelines, instrument-to-Allotrope conversion. Not for literature research (use deep-research).
- Cheminformatics ToolkitsCheminformatics and molecular modeling — RDKit/Datamol molecular handling, DeepChem molecular ML, COBRApy metabolic modeling, Pymatgen materials, matchms/pyOpenMS mass spectrometry. Use for "work with molecules/chemistry data"; for genomics see genomics-toolkits.
- Clinical WritingClinical and medical document generation — clinical decision-support docs, clinical/case reports (CARE guidelines), and focused treatment plans in LaTeX/PDF. Use for "write a clinical report/treatment plan/CDS doc"; for research manuscripts see research-writing.
- Competitive BriefUse for competitor research or a competitive analysis -- 'compare us against X', 'build a battlecard for sales', 'competitor Y just launched Z, what does it mean for us' -- producing a positioning/messaging comparison with gaps, opportunities, threats. Not for general market reports (use deep-research).
- Deep Research ReportsUse for a long, multi-step, sourced research report -- market analysis, competitive landscaping, literature review, due diligence: 'do deep research on X', 'write a full report with citations'. Plans, searches, and synthesizes autonomously. Not for a quick look-up or short synthesis (use research).
More on Zeplik
Try Recurring News Digest on Zeplik
Every model, one chat. Bring the Recurring News Digest skill into your next conversation and let the assistant do the work.