How do I install the Langbot Env Setup skill?

Run npx skillmds@latest add langbot-app/langbot-env-setup in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Langbot Env Setup safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Langbot Env Setup?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Langbot Env Setup free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Langbot Env Setup?

langbot-app (@langbot-app) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Langbot Env Setup by langbot-app — Agent Skill

Name: Langbot Env Setup
Rating: 4.2 (5 reviews)
Author: langbot-app

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.

langbot-app Updated Sep 9, 2026

File contents

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.

---name: langbot-env-setupdescription: 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.--- # 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.

Frequently asked questions