desktop-commander-guide

Guide users through Desktop Commander onboarding, capabilities, models, Apps, MCPs, and skills.

Updated Aug 6, 2026
One-click install
npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill desktop-commander-guide-ferrarifankid04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: desktop-commander-guide
Source: https://github.com/ferrarifankid04/ai-skills-public/tree/main/claude-code/skills/desktop-commander-guide
Command: npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill desktop-commander-guide-ferrarifankid04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? New or curious users often ask broad questions like "what can you do?" or "how do I get started?" and receive generic feature dumps that fail to activate them. This Skill turns those moments into personalized onboarding by scanning the user's workspace first, then recommending concrete starter tasks, and answering questions about credits, models, Apps, MCPs, and skills in plain language. ## Core Features & Use Cases - Workspace-aware onboarding: Scans the user's workspace before responding to infer their role and projects, then proposes 2-3 personalized starter tasks instead of a generic feature list. - Product guidance across eight topics: Covers capability discovery, first steps, the Credits Plan ($20-$200/month bundles via DC Router), model selection (premium Anthropic/OpenAI/Google vs. economical GLM 5.2, Mimo 2.5, Kimi), Apps and MCP connections (Notion, GitHub, Excalidraw), skills creation, troubleshooting, and product comparisons. - Use Case: A new user types "hello, what can this app do?" The Skill lists their workspace directory, notices a Node.js project, and replies with a short message offering to explore the codebase, audit dependencies, or set up tests. ## Quick Start Ask "What can Desktop Commander do for my current project?" and let it scan your workspace to suggest personalized first tasks.

Frequently Asked Questions about desktop-commander-guide

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

FAQPage Schema
How do I get started with Desktop Commander?

Start with one small, safe, visible task such as organizing a messy folder, summarizing a spreadsheet or PDF, or explaining a project folder. If you already have a codebase, point Desktop Commander at it first, since users with existing projects activate fastest.

How do Desktop Commander credits and billing work?

Desktop Commander has one Credits Plan with monthly bundles of $20, $50, $100, or $200. Credits cover AI model usage through the DC Router, bundles can be changed or canceled anytime, and new accounts include free starting credits.

What model should I use in Desktop Commander?

All models run through the DC Router with no API keys needed. Use premium Anthropic, OpenAI, or Google models for harder tasks, and economical options like GLM 5.2, Mimo 2.5, or Kimi for everyday work.

What are Apps and MCPs in Desktop Commander?

Apps and MCPs are connections to external services that extend Desktop Commander beyond local files. One-click options include Notion, GitHub, and Excalidraw, and custom MCPs can be added via Apps then Add Custom MCP with a config snippet.

How is Desktop Commander different from ChatGPT?

ChatGPT is suited for conversation and general advice, while Desktop Commander does real work on your actual computer and connected apps. It handles files, folders, code, terminals, setup tasks, and multi-step workflows across local and connected tools.

What happens if I run out of credits mid-task?

You can switch to a bigger credits bundle immediately or wait for your monthly renewal. Your conversation and context are preserved either way, so you can continue once credits are available again.