fit-basecamp

Manage scheduled AI agents and knowledge bases via CLI.

4|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/forwardimpact/monorepo --skill fit-basecamp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fit-basecamp
Source: https://github.com/forwardimpact/monorepo/tree/main/.claude/skills/fit-basecamp
Command: npx skills add https://github.com/forwardimpact/monorepo --skill fit-basecamp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the management and operation of your personal knowledge base and scheduled AI agents, ensuring your system runs efficiently and stays up-to-date.

Core Features & Use Cases

  • Agent Management: Check status, wake specific agents, or stop the scheduler.
  • Knowledge Base Operations: Initialize new KBs, update existing ones with the latest templates and skills.
  • System Monitoring: Validate agent/skill references and monitor scheduler status.
  • Use Case: You need to quickly update your knowledge base with new skills and ensure your scheduled agents are running correctly.

Quick Start

Run fit-basecamp to wake due agents once and exit.

Frequently Asked Questions about fit-basecamp

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

FAQPage Schema
How do I manage scheduled AI agents for a personal knowledge base?

You can manage scheduled AI agents by checking their status, waking specific agents, or stopping the scheduler using plain files and a CLI within your personal knowledge base system.

How do I initialize and update a personal knowledge base using plain files?

To initialize and update a personal knowledge base, you can use CLI commands to create new knowledge bases and update existing ones with the latest templates and skills.

Do I need a macOS environment to run scheduled AI agents and knowledge base operations?

Yes, a macOS environment is required for full functionality, as the system operates via a native app bundle to manage your scheduled AI agents and knowledge base.

What is the best way to monitor scheduler status and validate agent references?

The best way to monitor scheduler status and validate agent references is to use the system monitoring features to check agent and skill references and ensure scheduled agents run correctly.

Can I wake due agents automatically and then exit the scheduler?

Yes, you can run the system to wake due agents once and immediately exit, streamlining your personal automation workflow without keeping the scheduler running continuously.

How do I modify scheduler configurations for personal automation tasks?

You can modify scheduler configurations directly through the CLI, allowing you to adjust how your scheduled AI agents operate and manage your personal automation tasks.