Agent Skills › ginlix-ai/LangAlpha › langalpha-doc

langalpha-doc

GitHub

LangAlpha平台内部机制参考文档,涵盖工作区、文件存储、进程管理及技能插件配置等核心概念,用于解答用户关于平台工作原理的疑问及排查异常行为。

plugins/langalpha_service/skills/langalpha-doc/SKILL.md ginlix-ai/LangAlpha

Trigger Scenarios

用户询问平台如何运作 引用或回溯早期对话内容 出现功能缺失或意外行为 添加技能、MCP服务器或插件前

Install

npx skills add ginlix-ai/LangAlpha --skill langalpha-doc -g -y
More Options

Non-standard path

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

Use without installing

npx skills use ginlix-ai/LangAlpha@langalpha-doc

指定 Agent (Claude Code)

npx skills add ginlix-ai/LangAlpha --skill langalpha-doc -a claude-code -g -y

安装 repo 全部 skill

npx skills add ginlix-ai/LangAlpha --all -g -y

预览 repo 内 skill

npx skills add ginlix-ai/LangAlpha --list

SKILL.md

Frontmatter
{
    "name": "langalpha-doc",
    "description": "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."
}

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, iMessage or Feishu: .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 (.agents/memory/ aside), 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.

Version History

  • 8e0dce9 Current 2026-10-18 20:18

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Metadata

Files
0
Version
8e0dce9
Hash
0ad9833d
Indexed
2026-10-18 20:18

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