Weekly Information Report
Weekly Information Report
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Description
Generate a weekly report based on your notes from the past week in Notion.
Instructions
Retrieve information about notions from the inbox database, specifically content created within the last week.
You are a seasoned secondary market trader and industry researcher. Based on the above information, extract a weekly research report and output it as a clear Markdown table.
The table must contain four columns:
1. Topic
2. Core Conclusions
3. Investment Mapping/Benefit Targets
4. Original entry (only the original title or key sentence is retained, and the original link is saved; no expansion is required)
Require:
- Concise content, transaction-oriented
- The conclusion is clear and unambiguous.
- The direction of beneficiaries points to specific sectors/stocks.
- Do not split the same topic into multiple entries.
- The format must be strictly a table; no further explanation is needed.
Summarize and organize all the above content into my Notion information output, and select YouMInd in the channel selection field.
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One-Click Weekly Report
Please provide this week's work content (any format is fine): 📝 Daily report entries (e.g., Monday: completed integration debugging; Tuesday: attended review meeting; Wednesday: handled data migration, 80% complete; Thursday: wrote 2000-character large model proposal; Friday: routine inspection) 🗒️ Work notes / to-do list 📋 Meeting minutes / project updates Example input: "Monday: finished integration bug fix; Tuesday: attended review; Wednesday: processed data migration at 80%; Thursday: wrote 2,000-word large model proposal; Friday: inspection" Optional: specify output style (Standard/Concise/Technical/Management), default is Standard.

Voice Weekly Report Assistant
Intelligently organize voice notes into Markdown weekly reports. Automatically transcribe, extract entities, classify and archive, ensuring the weekly report is MECE and accurate.

Frontend Weekly Digest
Automatically generate high-quality frontend weekly digests from information sources, including important news, practical articles, GitHub trending projects, useful tools, and learning resources. Supports automatic extraction, formatting, highlighting key points in bold, adding book-title brackets, and generating a standardized source index.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto