timeline-report

Consolidates cowork session data into a chronological timeline via Python scripts.

8|1|Updated Mar 21, 2026

Search Tags:#timeline #narrative #memory #reporting #session-history #cowork

Ready to run

npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill timeline-report-msapps-mobile

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: timeline-report
Source: https://github.com/MSApps-Mobile/claude-plugins/tree/main/plugins/cowork-mem/skills/timeline-report
Command: npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill timeline-report-msapps-mobile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Consolidate cowork session data into a chronological timeline.

Core Features & Use Cases

Generate a structured timeline of actions and notes from multiple sessions.
Filter and group observations by session and day for clear retrospectives.
Export narrative timelines for sharing or archiving.

Quick Start

Ask Claude to generate a timeline report for the last week across all sessions.

Frequently Asked Questions about timeline-report

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

FAQPage Schema

How do I generate a timeline report from past cowork session logs?▼

To generate a timeline report, ask Claude to consolidate your cowork session data into a chronological timeline. The Skill uses Python scripts to group observations by session and day, producing a structured narrative of past work.

Can I filter session history by day for a weekly retrospective review?▼

Yes, you can filter and group session history by day for weekly retrospectives. The timeline generation scripts process your session logs to organize observations chronologically, making it easy to review past work across specific time periods.

What's the best way to export a narrative timeline of session data for sharing?▼

The best way to export a narrative timeline is to use the included Python memory tooling to consolidate session data. It generates structured narratives grouped by session and day, which you can then export for sharing or archiving your cowork history.

Do I need any external dependencies to consolidate session data into a timeline?▼

No external dependencies are required to consolidate session data into a timeline. The Skill operates independently using included Python scripts, such as memory_store.py, to process session logs and generate chronological reports without external setup.

How does memory store tooling work for grouping cowork session observations?▼

The memory store tooling works by processing cowork session logs through Python scripts that group observations chronologically by session and day. This mechanism transforms raw session data into a structured timeline suitable for recaps and reviews.

Are there limitations when consolidating multiple cowork sessions into a single timeline?▼

The timeline consolidation focuses on grouping chronological observations from cowork sessions. It is designed for retrospective reviews and weekly recaps, so sessions lacking structured logs or narrative data may not produce comprehensive timeline reports.