good-sleep

Consolidate JOURNAL.md sections into topic-based documents under .agents/docs/LTM/.

15|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/moriyoshi/winterbaume --skill good-sleep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: good-sleep
Source: https://github.com/moriyoshi/winterbaume/tree/main/.agents/skills/good-sleep
Command: npx skills add https://github.com/moriyoshi/winterbaume --skill good-sleep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

JOURNAL.md can become unwieldy as it grows; this skill consolidates dispersed notes into topic-based long-term memory documents under .agents/docs/LTM/, enabling quick retrieval and reusable reference material.

Core Features & Use Cases

  • Topic-based consolidation: merges related journal sections into focused LTM documents.
  • To-do segregation: extracts tasks into a separate TODO file and preserves actions for follow-up.
  • Indexing & planning: creates a planned list of LTM documents and an index for fast lookup.

Quick Start

Run the consolidation workflow on your latest JOURNAL.md to generate the LTM documents under .agents/docs/LTM/.

Frequently Asked Questions about good-sleep

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

FAQPage Schema
How do I consolidate JOURNAL.md notes into structured long-term memory documents?

Idempotent consolidation ensures safe, repeatable improvements when generating long-term memory documents. The skill implements frontmatter-awareness and folder creation to prevent data loss and duplicate entries across multiple runs.

How does topic-based knowledge consolidation work for daily journal entries?

The skill extracts to-dos from journal entries into a separate TODO file, preserving action items for follow-up. This segregation keeps long-term memory documents focused on reference material while maintaining an actionable task list.

What is the best way to extract to-dos from JOURNAL.md into a separate file?

The skill creates a planned list of LTM documents and generates an index for fast lookup. This indexing structure enables quick retrieval of consolidated knowledge without manually searching through unwieldy journal files.

Can I use frontmatter-aware consolidation on existing journal entries without losing data?

The skill requires a JOURNAL.md file as input and generates output under .agents/docs/LTM/. It works across multiple journal entries to merge related topics automatically, making it suitable for users with growing, unwieldy journal files.