How does it prevent server management errors?

The skill blocks multi-file edits without explicit lists and requires mandatory host confirmation before executing any operational commands on your network.

Does it support Machine Learning workloads?

Yes, it includes specific guardrails for MLX backends and enforces a 500MB threshold for model downloads, requiring explicit user approval for large files.

Why are documentation updates mandatory in this skill?

The skill follows a 'docs-first' philosophy to ensure your homelab's current state, active tasks, and historical changes are always accurately reflected in your project's journal and status files.

What is the Homelab Durability skill?

It is a specialized capability for Claude Code that enforces a high-integrity, safety-focused workflow for managing personal server environments and homelab infrastructure.

Homelab Durability

Name: Homelab Durability
Author: bebopbabailey

bybebopbabailey

0•

デプロイメントとDevOps

Enforces a docs-first, safety-oriented workflow for managing homelab infrastructure and ML workloads with strict guardrails.

Homelab Durability is a specialized skill designed to prevent configuration errors and scope creep within multi-host homelab environments. It implements a strict execution contract that mandates host verification, disk space checks, and documentation-first updates before any operational changes occur. By enforcing a conservative default stance and requiring explicit rollback plans for service modifications, it ensures your home server infrastructure remains stable, observable, and reproducible, particularly when managing complex ML model deployments and cross-host resources.

主な機能

010 GitHub stars

02Automated disk guardrails requiring space checks for actions exceeding 5GB

03Mandatory 'docs-first' workflow involving NOW.md and append-only journaling

04Strict rollback requirements for all service restarts and modifications

05Multi-host verification (Mini/Studio/Orin) to prevent cross-host execution errors

06Standardized Operating Rhythm stages from Inventory to Pruning

ユースケース

01Maintaining a consistent source of truth between infrastructure state and local documentation

02Preventing disk exhaustion and accidental data loss during large-scale server operations

03Safely managing and deploying MLX models across diverse hardware nodes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bebopbabailey/homelab-llm homelab-durability

For use in Claude.ai and ChatGPT

Download Skill