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.

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Repository: langbot-app/LangBot
Last source activity: July 19, 2026 at 14:45
Detected SKILL.md language: English
Stars: 17,975
Forks: 1,615

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name: langbot-env-setup
description: 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.

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langbot-mcp-ops

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".

2026-09-27

langbot-dev

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".

2026-09-27

langbot-testing

Test LangBot WebUI and core product flows with an automated browser and backend logs. Use when validating the configured LangBot frontend, pipeline Debug Chat, model provider setup and test buttons, bot and knowledge-base UI flows, or troubleshooting failed LangBot end-to-end tests.

2026-09-21

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langbot-env-setup

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