tldr

Summarize recent chat messages into a structured Markdown TLDR note.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/chriswestt/claude-skills --skill tldr-chriswestt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tldr
Source: https://github.com/chriswestt/claude-skills/tree/main/tldr
Command: npx skills add https://github.com/chriswestt/claude-skills --skill tldr-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automatically condenses lengthy conversations into a concise TLDR note, preserving ideas, decisions, and action items for later reference.

Core Features & Use Cases

  • Structured TLDR: summarizes the last 5-10 exchanges into sections for Key ideas, Decisions, Actions, and Open threads.
  • Notes integration: saves the generated TLDR to the designated notes folder with a consistent title for easy retrieval.
  • Workflow enablement: ideal for post-meeting summaries, project check-ins, and knowledge capture during long sessions.

Quick Start

Summarize the last 5-10 exchanges and save the TLDR to your notes folder.

Frequently Asked Questions about tldr

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

FAQPage Schema
How do I summarize a conversation into structured notes for future reference?

To summarize a conversation into structured notes, the skill condenses the last 5-10 back-and-forth messages into a four-section Markdown TLDR covering Key ideas, Decisions, Actions, and Open threads, then saves it to your notes folder.

What's the best way to capture decisions and action items after a long meeting chat?

The best way to capture decisions and action items after a meeting chat is to generate a structured TLDR note from the recent conversation history, isolating core decisions and actions into a retrievable Markdown file.

How does summarizing the last 5-10 exchanges into a TLDR note work?

Summarizing recent exchanges works by reading the latest conversation history, formatting the context into a four-section TLDR structure, and writing the resulting Markdown note directly to a configured notes directory.

Can I use this to extract open threads from collaborative chats without manual effort?

Yes, you can extract open threads from collaborative chats automatically by running the summarizer on your recent message history, which identifies and structures unresolved threads alongside key ideas and actions.

Does the generated TLDR note save directly to my existing notes folder?

Yes, the generated TLDR note saves directly to your configured notes folder as a Markdown file, ensuring consistent titles for easy retrieval and integration with your existing knowledge base.

When should I not use automated conversation summarization for context capture?

You should not use automated conversation summarization for exchanges shorter than five messages, as the skill requires 5-10 back-and-forth messages to accurately extract meaningful key ideas, decisions, and actions.