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langbot-env-setup

Prepare a local LangBot development and testing environment for an AI agent. Use when setting up WSL or Linux development, shared local URL variables, proxy variables, backend/frontend startup, Playwright MCP browser access, GitHub OAuth browser login, persisted Chrome profiles, or future Codex computer-use environment paths.

インストール方法を見る

含まれるファイル(8)

  • SKILL.md1.9 KB
  • references/browser-access-selection.md751 B
  • references/computer-use.md937 B
  • references/oauth-browser-profile.md1.7 KB
  • references/playwright-mcp.md1.3 KB
  • references/proxy.md813 B
  • references/service-startup.md1.9 KB
  • references/wsl-notes.md931 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

LangBot Environment Setup

Use this skill when a task needs LangBot to be in a testable state before product testing or development verification.

Routing

  • Shared local variables: read ../.env before using URL, path, browser profile, or proxy defaults.
  • Always start here: read references/browser-access-selection.md to choose the browser-control path.
  • LangBot service checks and startup: read references/service-startup.md.
  • Computer Use available: read references/computer-use.md. This path usually needs less browser/MCP setup.
  • No Computer Use, browser automation required: read references/playwright-mcp.md.
  • GitHub OAuth or persisted login profile: read references/oauth-browser-profile.md.
  • WSL-specific notes: read references/wsl-notes.md only when running under WSL.
  • Proxy setup: read references/proxy.md when external login, model provider tests, or package downloads time out.
  • Headless-only automation: use only after a profile already contains a valid LangBot login. Do not ask the agent to enter GitHub credentials or 2FA.

Rules

  • Never handle the user's GitHub password, passkey, recovery code, or 2FA secret.
  • For OAuth login, open a visible browser and let the user complete the credential steps.
  • Reuse a fixed browser profile path so the agent can later access the logged-in LangBot session.
  • Keep environment-specific paths and commands in references/, not in this file.
  • Treat environment setup as complete only after the target LangBot services are reachable and the browser profile can access the WebUI.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot docker", "langbot compose", "langbot kubernetes", "langbot config.yaml", "langbot box runtime", "langbot global api key".

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

Develop, build, and debug the LangBot core backend and web frontend. Use when working inside the LangBot repository — backend (Python/Quart, src/langbot/pkg), the Vite/React web UI, HTTP API controllers/services, Alembic migrations, or the MCP server. Covers the dev environment (uv, pnpm), repo layout, the API auth model (user token / API key / global key), adding API endpoints, and the rule that API changes must update the MCP server and skills. Triggers on "langbot backend", "langbot dev", "langbot api", "add langbot endpoint", "langbot migration".

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

Build, refactor, and test LangBot platform adapters for the Event-Based Agents architecture. Use when adding or migrating Telegram, Discord, or other messaging platform adapters to the EBA adapter layout, validating unified event/message conversion, writing live adapter probes, or using standalone plugin runtime plus Computer Use for end-to-end platform testing.

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

Operate a LangBot instance through its built-in MCP (Model Context Protocol) server. Use when an AI agent needs to manage LangBot — list/create/update/delete bots, agents, pipelines, models, knowledge bases, MCP servers, and skills — over MCP instead of raw HTTP. Covers the /mcp endpoint, API-key auth (web-UI lbk_ keys and the config.yaml global key), the tool surface, and client configuration. Triggers on "langbot mcp", "manage langbot via mcp", "langbot /mcp", "langbot mcp server".

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

Develop, debug, and test LangBot plugins. Use when creating new LangBot plugins, fixing plugin bugs, setting up a LangBot test environment, or testing plugins via WebSocket. Covers plugin component architecture (EventListener, Command, Tool), the plugin SDK API (invoke_llm, get_llm_models, send_message, plugin storage), common pitfalls, and automated WebSocket-based testing. Triggers on "langbot plugin", "lbp", "GroupChatSummary", "plugin debug", "langbot test".

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

Maintain the langbot-skills repository with low duplication. Use when adding, editing, or auditing LangBot skills, references, cases, troubleshooting entries, indexes, or periodic entropy-control checks for this skills repository.

日本語の概要は準備中です。原文の説明を表示しています。

langbot-app/LangBot1.8万2026年10月11日 更新

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