skills.rest
F0WCUS
F0WCUSOFFICIAL
Explore all skills by this author →
GitHub

memory-focus

Manage AI agent memory with structured focus sessions and GitHub-backed persistence.

1|Updated May 2, 2026
Search Tags:#workflow#productivity#github#agent#memory#focus
One-click install
npx skills add https://github.com/F0WCUS/memory-focus --skill memory-focus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-focus
Source: https://github.com/F0WCUS/memory-focus/tree/main
Command: npx skills add https://github.com/F0WCUS/memory-focus --skill memory-focus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the context-loss problem in agent interactions by providing a structured, persistent memory framework that allows agents to resume work exactly where they left off across different sessions.

Core Features & Use Cases

  • FOCUS Sessions: Structured BEGIN/END workflow with open-loop tracking and decision tagging.
  • Long-term Memory: Persistent sync and study cycling backed by GitHub to ensure context survives across logins.
  • Continuous Improvement: A 1% Better loop that prompts for incremental growth every five sessions.
  • Use Case: Use this framework to manage complex, multi-day projects where you need to track decisions, maintain a backlog of tasks, and ensure your agent remembers project context without manual re-explanation.

Quick Start

Start your first work session by typing BEGIN to initialize the memory-focus setup wizard.

Frequently Asked Questions about memory-focus

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

FAQPage Schema
How do I maintain AI agent context across different sessions?▼

Maintaining AI agent context across sessions requires a persistent memory framework that syncs data via GitHub, enabling agents to resume workflows without manual re-explanation.

What is the best way to track agent decisions and open-loop tasks?▼

The best way to track agent decisions and open-loop tasks is using structured BEGIN/END focus workflows that tag decisions and maintain a persistent backlog for multi-day projects.

Do I need GitHub to use persistent memory for AI agents?▼

Yes, you need GitHub because the persistent memory framework uses GitHub-backed synchronization to ensure long-term context survives across different agent logins.

How do I set up a focus workflow for continuous task tracking?▼

Set up a focus workflow by typing BEGIN to initialize the setup wizard, which configures structured sessions for continuous task tracking and decision promotion.

Can I use this memory framework for complex multi-day projects?▼

Yes, you can use this framework for complex multi-day projects to maintain a task backlog, track decisions, and ensure your agent remembers project context automatically.

Why does my AI agent keep losing context between work sessions?▼

Your AI agent loses context between sessions because it lacks a persistent memory framework; structured focus workflows with GitHub-backed storage solve this context-loss problem.

Related Skills

Explore More Personal & Entrepreneur Skills→
consultantvisionconsultantvision

git-sync

Automate Git commits and push local changes to GitHub.

Community
Intermediate
ViewWayViewWay

self-improving-agent

Analyze OpenClaw conversations to identify improvement opportunities and generate weekly reports.

Community
Intermediate
adiytharpansaadiytharpansa

time-tracker

Track activities and generate productivity summaries and trends.

Community
Intermediate
OmarMiraOmarMira

hybrid-backup-manager

Encrypt backups with AES-256-GCM and queue cloud uploads via Outbox pattern.

Community
Advanced