weekly-review

Aggregate signals from events.jsonl, research-state.yaml, wiki, IDEAS.md, and Mental Gym into a structured weekly digest.

43|2|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/andrehuang/researcher-pack --skill weekly-review-andrehuang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: weekly-review
Source: https://github.com/andrehuang/researcher-pack/tree/main/skills/weekly-review
Command: npx skills add https://github.com/andrehuang/researcher-pack --skill weekly-review-andrehuang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers generate a concise weekly digest that summarizes activities, knowledge growth, and priorities, reducing manual compilation and context switching.

Core Features & Use Cases

  • Automated weekly digest: aggregates signals from events.jsonl, .claude/research-state.yaml, wiki pages, IDEAS.md, and Mental Gym status to produce a structured report.
  • Decision support: highlights priorities and actionable next steps to guide planning.
  • Knowledge growth tracking: surveys mastery levels and new insights across sources to surface learning progress.

Quick Start

Ask for a weekly review to generate the structured digest from events.jsonl, research-state.yaml, wiki, mental-gym status, and IDEAS.md.

Frequently Asked Questions about weekly-review

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

FAQPage Schema
How do I generate a weekly research digest from multiple knowledge sources?

You can generate a weekly research digest by aggregating signals from events.jsonl, research-state.yaml, wiki pages, and IDEAS.md. The skill compiles these sources into a structured report covering activity summaries and knowledge growth tracking to reduce manual compilation.

What is a weekly review and how does it track knowledge growth?

A weekly review tracks knowledge growth by surveying mastery levels and new insights across wiki pages and research-state.yaml. It produces a structured digest that highlights learning progress and actionable next steps to guide planning.

Can I customize the weekly digest for a specific date range?

Yes, you can tailor the weekly digest for a specific date range. The skill accepts an optional date range parameter to filter aggregated signals from events.jsonl and other sources, ensuring the structured report matches your desired review period.

What files do I need to set up before running a weekly progress check?

You need events.jsonl, research-state.yaml, IDEAS.md, and accessible wiki pages. The skill enforces deterministic source loading from these files to produce the activity summary and health checks for your weekly progress review.

What is the best way to summarize weekly research progress and priorities?

The best way to summarize weekly research progress is to aggregate events and research-state.yaml into a fixed report structure. This approach surfaces priorities and actionable next steps, providing decision support for your weekly planning.