gfv-dream-mode

Consolidate fragmented session logs into durable knowledge in the Proactive Intelligence Layer.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill gfv-dream-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gfv-dream-mode
Source: https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit/tree/main/skills/gfv-dream-mode
Command: npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill gfv-dream-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dream Mode automates the consolidation of fragmented session logs and findings into durable, searchable knowledge within the Proactive Intelligence Layer (PIL), helping maintain long-term context for AI assistants.

Core Features & Use Cases

  • Autonomous memory consolidation: synthesizes scattered data from sessions into stable knowledge items.
  • Phase-based workflow: supports PRE-FLIGHT, PROGRESS, and COMPLETE phases to resume after interruptions.
  • CEO-facing memory hygiene: surfaces critical architectural insights and helps prune stale caches.

Quick Start

Run the dream script to begin memory consolidation from your recent sessions.

Frequently Asked Questions about gfv-dream-mode

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

FAQPage Schema
How do I consolidate fragmented AI session logs into durable knowledge?

AI memory consolidation automates synthesizing scattered session logs into stable, searchable knowledge items within the Proactive Intelligence Layer. This maintains long-term context for AI assistants without manual sorting.

How does memory consolidation resume after an interruption?

Memory consolidation uses a three-phase lifecycle with PRE-FLIGHT, PROGRESS, and COMPLETE checkpoints. If interrupted, it safely resumes directly from the last completed checkpoint to continue writing long-term memories.

Can I use memory consolidation for executive architecture planning sessions?

Yes, memory consolidation applies to executive sessions like strategy reviews, architecture planning, and competitive intelligence. It surfaces critical architectural insights and prunes stale caches during end-of-day retrospectives.

What is the best way to maintain long-term context for an AI assistant?

Maintaining long-term AI context requires automating memory hygiene to convert fragmented findings into durable knowledge. Running end-of-day and end-of-week retrospectives ensures critical insights are preserved and stale caches pruned.

Do I need the Proactive Intelligence Layer to automate AI memory hygiene?

Yes, the Proactive Intelligence Layer is required. Dream Mode writes consolidated long-term memories and performs cache hygiene directly into the PIL framework to maintain persistent AI context.