Weekly Review Generator

Synthesize daily markdown logs into structured weekly summaries.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/kartikfed/OpenClawLimen --skill weekly-review-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Weekly Review Generator
Source: https://github.com/kartikfed/OpenClawLimen/tree/main/skills/weekly-review
Command: npx skills add https://github.com/kartikfed/OpenClawLimen --skill weekly-review-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of summarizing daily logs into a structured weekly review, helping you track progress, learnings, and evolving thoughts.

Core Features & Use Cases

  • Automated Synthesis: Consolidates daily entries into a coherent weekly summary.
  • Key Insight Extraction: Identifies and highlights exploration topics, accomplishments, learnings, opinions, and open questions.
  • Use Case: Generate a comprehensive weekly report every Sunday evening to reflect on achievements, identify areas for improvement, and prepare for the week ahead.

Quick Start

Generate the weekly review for the current week and print it to the console.

Frequently Asked Questions about Weekly Review Generator

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

FAQPage Schema
How do I synthesize daily memory logs into a structured weekly summary?

To synthesize daily memory logs into a weekly summary, this Skill parses markdown logs using Python regex to extract accomplishments, learnings, mood arcs, and open questions automatically.

How do I automate weekly reflection and progress tracking from daily entries?

Automating weekly reflection requires parsing daily markdown logs to consolidate exploration topics and form evolving opinions, yielding a comprehensive weekly review for progress tracking.

What is the best way to extract key learnings and mood arcs from markdown logs?

Extracting key learnings and mood arcs from markdown logs is best handled by automated regex pattern matching, which identifies exploration topics and voice calls to form structured insights.

Does this weekly review generator require external dependencies or libraries?

This weekly review generator requires no external dependencies, relying solely on Python's standard library to parse markdown logs and synthesize them into structured weekly summaries.

Can I use this to consolidate knowledge for AI agent memory?

Yes, you can use this to consolidate knowledge for AI agent memory by synthesizing daily logs into structured reflections, extracting open questions and key learnings for future context.