weekly-report

Generate weekly Notion reports from prior drafts and current sources.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ryok/team-operations --skill weekly-report-ryok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: weekly-report
Source: https://github.com/ryok/team-operations/tree/main/.claude/skills/weekly-report
Command: npx skills add https://github.com/ryok/team-operations --skill weekly-report-ryok

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the manual toil of weekly reporting by baselining from last week's Notion draft and automatically incorporating new updates for publish-ready Notion pages.

Core Features & Use Cases

  • Baseline Retrieval: fetches last week's Notion draft to serve as the starting point for this week's report.
  • Information Collection: gathers updates from Engineering Meeting Management and AI Coding databases within Notion.
  • Content Updating & Publication: applies differences, tags sources, and publishes the updated weekly report to Notion.
  • Verification & Archive: validates consistency between MailBody and Notion content and records changes for audit.

Quick Start

Create a new weekly report by pulling the prior week's Notion draft and updating it with the latest notes.

Frequently Asked Questions about weekly-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate weekly report generation from Notion for ML research collaborations?

Automating weekly report generation from Notion involves baselining from last week's draft, gathering updates from specified databases, and publishing a template-driven page. This skill targets ML projects by automatically incorporating new engineering and coding notes into publish-ready Notion reports.

How does baseline retrieval work when updating a Notion weekly report?

Baseline retrieval for a Notion weekly report fetches the prior week's draft to serve as the starting point. It then applies differences from current sources, tags information origins, and updates the template-driven content to ensure continuity in ML research tracking.

Can I use this skill to collect updates from Engineering Meeting Management and AI Coding databases in Notion?

Yes, information collection targets Engineering Meeting Management and AI Coding databases within Notion. The skill gathers updates from these specific sources to compile the latest ML project notes and automatically incorporate them into the weekly report draft.

What's the best way to verify consistency between an email MailBody and published Notion weekly report content?

Verifying consistency between a MailBody and Notion content requires a validation step that checks for alignment. This skill validates consistency between the two formats and records all changes in an archive to maintain an audit trail for ML research reporting.

Does Notion integration support template-driven content updates and source tagging for ML project reports?

Notion integration supports template-driven content updates and source tagging for ML project reports. The skill applies differences from collected sources, tags them accordingly, and publishes the updated weekly report directly to Notion.

When do I need to archive changes for a Notion-based ML weekly report?

You need to archive changes for a Notion-based ML weekly report during the verification phase. After validating consistency between the MailBody and Notion content, the skill records all applied differences and source updates to provide a reliable audit history.