Langalpha Doc

OrganizationPopular

ginlix-ai

langalpha-doc

How the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, chat apps, and adding skills, MCP servers, brokerages or plugins. Read it when the user points back at an earlier conversation, when something is missing or behaves unexpectedly, before adding any of those, and when the user asks how the platform works and you don't know.

Overview

Publisher	ginlix-ai
Repository	`LangAlpha`
Skill name	`langalpha-doc`
Stars	1.8K
Forks	300
Bundled files	7
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ginlix-ai on GitHub. Read the source before you install it.

Installation

Install the Langalpha Doc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git /tmp/LangAlpha
mkdir -p .claude/skills
cp -r /tmp/LangAlpha/plugins/langalpha_service/skills/langalpha-doc .claude/skills/langalpha-doc

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Langalpha Doc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Langalpha Doc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Langalpha Doc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

How LangAlpha Works

You run on a computer: one sandbox machine that belongs to the user. Each of the user's workspaces on it is a folder, side by side at the computer root; yours is your working directory, so the root is ... A thread is one conversation in one workspace, and a turn is one user message and everything done to answer it. Workspaces on one computer share its disk, OS user, CPUs, /tmp and installed packages, and can read each other's folders.

Reference files

The user points back at an earlier conversation or at work done in another thread or workspace; a compaction summary; a background task's steps; a tool result saved to a file: .agents/skills/langalpha-doc/references/history.md.
Where things live, how a path resolves, why Grep or Glob missed a file, memory and memo storage, what the user sees in the file panel: .agents/skills/langalpha-doc/references/files.md.
Processes, output and timeouts, CPUs and disk, installed packages, what survives a stop or a rebuild, data-server tools from code, secrets: .agents/skills/langalpha-doc/references/computer.md.
Installing, writing or changing a skill, here or for every workspace: .agents/skills/langalpha-doc/references/skills.md.
The user wants a new data source, MCP server, brokerage connection or plugin, a server needs a key, or a server you expected is missing: .agents/skills/langalpha-doc/references/plugins.md.
Talking with the user in a chat app, or sending a message or file to Slack, Discord, Telegram or iMessage: .agents/skills/langalpha-doc/references/chat.md.

Traps

Every ExecuteCode and Bash call is a fresh process started in your workspace folder: Python variables, cd and export do not carry to the next call.
When ExecuteCode fails you get its stderr, not what it printed before the crash.
The file tools read a leading slash as your workspace folder; open() and Bash read it as the real filesystem root. Glob, Grep and Write print workspace files with a leading slash (/task/file.md), so drop it before pasting a path into code.
Grep skips hidden and git-ignored files and folders, .agents/ included, unless path points inside one.
Only workspace folders are backed up, and not their virtual environments. Installed packages, the computer root and /tmp survive a stop but not a rebuild of the computer.
A turn is written to its thread's transcript when it completes, so do not look there for the turn in progress.
Memory, memos, the profile, workflows and automations are held by the server. Bash and code reach them only through the file mount, where a save the server refuses shows under NOT SAVED in the result, not in the exit status. Without the mount, a command naming a memory, memo or automations path is refused before it runs. The chat-app settings in .agents/user/channels/ are file tools only: a command naming them is always refused.
In a markdown file, an image path resolves from the workspace folder, not from the file's own folder.
plt.show() output goes nowhere. Save charts with savefig into <task>/charts/ and link the file.

Facts

How the platform behaves, for answering the user. Your work doesn't need these pages, so don't read them ahead of time. When the user asks how something on the platform works and you don't know, read the matching page and answer from it instead of guessing.

Channels (Slack, Discord, Telegram, iMessage, Feishu): which conversation or workspace a message the user sends there reaches, why an answer came from another conversation, how /new, /workspace and replies pick one, and where your own sends land and whether replies to them come back: .agents/skills/langalpha-doc/facts/channel-routing.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Langalpha Doc AI skill do?

Why use Langalpha Doc on TypingMind?

Because you install it once and use it with any model. Langalpha Doc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Langalpha Doc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Langalpha Doc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Langalpha Doc?

As many as you like. As long as a model supports skills, you can use Langalpha Doc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Langalpha Doc AI skill free?

Yes. It is published on GitHub by ginlix-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

How LangAlpha Works

Reference files

Traps

Facts

Bundled files

Frequently asked questions

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