ls-dream-consolidate

Consolidate scattered memory artifacts into organized topic files with absolute dates.

Updated Aug 5, 2026
One-click install
npx skills add https://github.com/ahostbr/liteharness --skill ls-dream-consolidate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ls-dream-consolidate
Source: https://github.com/ahostbr/liteharness/tree/main/liteharness/catalog/skills/ls-dream-consolidate
Command: npx skills add https://github.com/ahostbr/liteharness --skill ls-dream-consolidate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces duplicated, conflicting, and poorly organized memory files by consolidating new observations into durable, well-structured entries.

Core Features & Use Cases

  • Reflective memory consolidation: Synthesize recent learnings from daily logs and targeted transcript snippets into topic-level memory files.
  • Pruning and contradiction resolution: Remove stale or wrong memory pointers and update conflicting facts so the index stays accurate.
  • Index maintenance: Keep MEMORY.md under 200 lines as a compact pointer map rather than a dump.

Quick Start

Run the ls-dream-consolidate skill to perform a dream-time consolidation pass over your memory directory and update MEMORY.md with the newest durable pointers.

Frequently Asked Questions about ls-dream-consolidate

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

FAQPage Schema
How do I consolidate scattered memory artifacts into organized topic files?▼

To consolidate scattered memory artifacts, this Skill synthesizes new signals from daily logs and transcript searches into durable topic files. It merges observations, resolves contradictions, and prunes stale entries to maintain an organized memory directory.

What is the best way to resolve contradictions and prune stale memory pointers?▼

The best way to resolve contradictions and prune stale memory pointers is by running a memory consolidation pass. This process reviews the memory index, updates conflicting facts, removes wrong pointers, and ensures the remaining topic files stay accurate and durable.

How does memory consolidation work with daily logs and transcript search?▼

Memory consolidation works by reading daily logs and narrowly scoped JSONL transcript snippets to extract new learnings. It synthesizes these signals with existing memory drift, then merges or updates topic files using absolute dates per conventions.

How do I keep my MEMORY.md index file compact and under 200 lines?▼

To keep MEMORY.md under 200 lines, this Skill treats the file as a compact pointer map rather than a dump. It consolidates detailed observations into separate topic files and leaves only durable pointers in the index during cleanup sessions.

When should I run a memory maintenance session for existing memory drift?▼

You should run a memory maintenance session when cleanup instructions are triggered or during dream-time passes. This handles existing memory drift by reviewing the index, merging topic files, and pruning outdated entries to restore clarity.

Do I need any dependencies to perform memory consolidation and indexing?▼

No dependencies are required to perform memory consolidation and indexing. The Skill operates independently using your existing memory directory, daily logs, and JSONL transcripts to synthesize observations and update the index.