automation

ArchiSteamFarm: Auto Farm Steam Cards

Name: ArchiSteamFarm: Auto Farm Steam Cards
Author: JustArchiNET

Automate Steam card farming with ArchiSteamFarm, a tool for founders and gamers, backed by 13k+ GitHub stars.

From the repo · “C# application with primary purpose of farming Steam cards from multiple accounts simultaneously.”

13,772 stars+18★ this week1,121 forksC#Guide quality 8/10 · reviewed Jul 21Updated 10/23/2026100% free · open source

What it does

ArchiSteamFarm automates the process of farming Steam cards from multiple accounts simultaneously, allowing founders and gamers to collect cards without manual effort.

When to use it

•You have multiple Steam accounts and want to farm cards efficiently.
•You're looking to automate the process of collecting rare Steam cards.
•You want to save time and effort in managing your Steam card collection.

Ready-to-paste prompt

dotnet ArchiSteamFarm.dll --config config.json --headless

Heads up: You need to have the .NET Core 3.1 runtime installed on your system to run ArchiSteamFarm, and you must also have a Steam API key to use the tool, which can be obtained by creating a Steam Web API key on the Steam Community website.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/archisteamfarm && curl -fsSL https://workflowstacks.com/api/skills/archisteamfarm/claude-skill -o ~/.claude/skills/archisteamfarm/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How ArchiSteamFarm: Auto Farm Steam Cards works

Codeflow

Free to inspect

ArchiSteamFarm: Auto Farm Steam Cards is a large C# project (~46k lines across 249 code files). Setup is light: runs with Docker. Last commit this month, Apache-2.0 license, no tests found.

Size

Large codebase

~46k lines · 249 code files · ~6 h to skim

Setup

Light setup

Runs with Docker.

Runs on

Docker

No API keys detected

C# 97%C++ 1%Shell 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
ArchiSteamFarm/Localization/README.md
Inside ArchiSteamFarm/ — the main logic begins here

What's in each folder

ArchiSteamFarm/Core code — the actual logic240 files

ArchiSteamFarm.OfficialPlugins.ItemsMatcher/Folder63 files

ArchiSteamFarm.OfficialPlugins.SteamTokenDumper/Folder53 files

ArchiSteamFarm.OfficialPlugins.MobileAuthenticator/Folder49 files

resources/Folder16 files

ArchiSteamFarm.Tests/Folder12 files

ArchiSteamFarm.OfficialPlugins.Monitoring/Folder7 files

ArchiSteamFarm.CustomPlugins.ExamplePlugin/Folder6 files

READMENo tests foundDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/archisteamfarm && curl -fsSL https://workflowstacks.com/api/skills/archisteamfarm/claude-skill -o ~/.claude/skills/archisteamfarm/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

JustArchiNET

Language

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.

Outcome guide

Automate your weekly client reports

Keep each client’s metrics in a Google Sheet. Every Monday the workflow reads the week’s numbers, writes a plain-English narrative — what moved, why, and what’s next — and emails it to the client.