skills.rest
diptanshuagrawal
diptanshuagrawalCOMMUNITY
Explore all skills by this author →
GitHub

monthly-highs-lows

Generate monthly highs and lows reports from team activity data.

Updated Jun 9, 2026
Search Tags:#report generation#data processing#monthly reporting#Python automation#team activity analysis
One-click install
npx skills add https://github.com/diptanshuagrawal/synapse --skill monthly-highs-lows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: monthly-highs-lows
Source: https://github.com/diptanshuagrawal/synapse/tree/main/work-context/scheduled-tasks/monthly-highs-lows
Command: npx skills add https://github.com/diptanshuagrawal/synapse --skill monthly-highs-lows

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, openai-python, dateutil, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the generation of monthly highs and lows reports, saving time and ensuring consistency in reporting.

Core Features & Use Cases

  • Automated Report Generation: Generates monthly reports of highs and lows based on team activity.
  • Scheduled Execution: Runs on the 28th of each month, with retries if necessary.
  • Integration: Integrates with various data sources and systems to gather necessary information.

Quick Start

Run the monthly-highs-lows skill to generate the report for the current month.

Frequently Asked Questions about monthly-highs-lows

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

FAQPage Schema
How do I automate monthly reporting for team activity highs and lows?▼

Automate monthly reporting by running a Python script that analyzes team activity data to identify significant events and issues, generating a structured highs and lows report automatically.

What data sources do I need to generate a monthly team activity report?▼

You need access to relevant team activity data sources and systems. The Python script processes this data to extract significant events and issues for the monthly highs and lows report.

Can I schedule Python automation to run monthly report generation automatically?▼

Yes, the report generation is scheduled to run on the 28th of each month. The Python automation includes retry mechanisms to ensure the monthly report generates successfully.

Does monthly report generation work with Python and OpenAI dependencies?▼

Yes, the monthly report generation requires Python and utilizes OpenAI and dateutil dependencies to process team activity data and automate the identification of significant events.

What is the best way to analyze significant team events and issues monthly?▼

The best way is using a Python automation script that analyzes team activity data, automatically identifying and reporting significant events and issues for the month.

Related Skills

Explore More Product & Management Skills→
dexhunterdexhunter

garmin-connect

Synchronize Garmin Connect fitness data to a local cache via OAuth.

Community
Intermediate
SanctifiedOpsSanctifiedOps
3

launch-alert-bot

Detect new Solana mints and liquidity pools with contextual safety alerts.

Community
Intermediate
AlvaroLaraFFAlvaroLaraFF

weather-correlation

Correlate weather data with activity performance using Open-Meteo Archive API.

Community
Intermediate
yuqueyuque
208

knowledge-report

Aggregate Yuque group statistics into a monthly knowledge management report.

Official
Advanced