wechat-daily-report_skill

This skill generates a structured today WeChat report from local data, summarizing stats, to-dos, and amusing anecdotes for clear daily insights.

Python

2

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill deletexiumu/agentskills-hub --skill wechat-daily-report

SKILL.md3.4 KB

Overview

This skill generates a structured WeChat daily report in Markdown from local chat data. It summarizes message statistics, extracts and prioritizes work-related todos, organizes entertaining conversation stories, and ends with a short humorous wrap-up. The report is ready to save to the current directory for review or archival.

How this skill works

The skill reads today’s chat records from a local DuckDB snapshot produced by the extraction script, then computes activity metrics and conversation-level groupings. It uses rules to identify work-related follow-ups (mentions, requests, confirmations) and to detect multi-message storylines for fun items. Finally it composes a Markdown report with tables, prioritized todos, curated stories, and a one-line humorous summary.

When to use it

Generate a daily summary of WeChat activity for personal review
Extract and prioritize actionable items from work group chats
Collect and present amusing group conversations as readable stories
Archive daily chat metrics for trends and reporting
Quickly produce a shareable Markdown report of today’s chats

Best practices

Run the data extraction step first to ensure accurate, up-to-date DuckDB input
Limit todo extraction to work groups to avoid false positives from casual chats
Review auto-extracted todos before acting—AI highlights likely follow-ups but may miss context
Filter out or redact any sensitive content when saving or sharing the report
Use the generated Markdown as a baseline; edit titles or priorities to reflect real-world urgency

Example use cases

Morning briefing: generate today’s WeChat report to plan the day’s tasks and meetings
End-of-day recap: capture completed items and unresolved todos for handover
Team lead summary: share activity highlights and pending items from work groups
Social digest: collect top three amusing group stories to post in a newsletter or personal log
Trend tracking: save daily reports to monitor activity spikes and recurring todo patterns

FAQ

It reads chat records from a local DuckDB exported by the data extraction script; the report is read-only and does not modify the database.

How are todos prioritized?

Todos are classified by rules: @mentions and direct requests are high priority, items with explicit dates are medium, and completed or informational items are low priority; the output groups them as 🔴/🟡/🟢.

Can the fun stories include private content?

No. The skill excludes sensitive or private content and only includes stories that are safe to present, summarizing and quoting non-sensitive highlights where appropriate.