light-memory-pm

Manage persistent memory and cross-session context for research projects.

514|67|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/Light0305/Light-skills --skill light-memory-pm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: light-memory-pm
Source: https://github.com/Light0305/Light-skills/tree/main/skills/light-memory-pm
Command: npx skills add https://github.com/Light0305/Light-skills --skill light-memory-pm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manage persistent memory and cross-session context for long-running research projects.

Core Features & Use Cases

  • Two-layer memory model (global Light memory and per-project db09) with SSOT indexing.
  • Memory write policies to MEMORY.md and project_card.md; per-project milestones and version history linkage.
  • Handoff-ready artifacts and active recovery workflow to resume work across sessions.

Quick Start

Create and maintain a persistent project memory across sessions by using a two-layer memory model and handoff artifacts to enable seamless cross-session recovery.

Frequently Asked Questions about light-memory-pm

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

FAQPage Schema
How do I maintain persistent context for a long-running research project across multiple sessions?▼

To maintain persistent context across multiple sessions, use a two-layer memory model with global Light memory and per-project memory, enforcing explicit indexing through MEMORY.md and project-level artifacts for seamless cross-session recovery.

What is the best way to manage cross-session memory for literature review and experiments?▼

The best way to manage cross-session memory for literature review and experiments is implementing a two-layer memory model that tracks milestones and version history, creating handoff-ready artifacts for active recovery workflows.

Can I use persistent project memory to ensure continuity during manuscript drafting?▼

Yes, you can use persistent project memory to ensure continuity during manuscript drafting by maintaining per-project milestones and version history linkage, enabling auditable history and handoff-ready artifacts for resuming work.

How does the two-layer memory model handle cross-session recovery for research workflows?▼

The two-layer memory model handles cross-session recovery by combining global Light memory with per-project memory, using explicit MEMORY.md indexing as a single source of truth to restore research workflow continuity.

When do I need explicit memory indexing for research project management?▼

You need explicit memory indexing for research project management when running long tasks like data collection or experiments across multiple sessions, ensuring auditable history and seamless recovery through handoff-ready artifacts.