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functions

Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=browserbase-skills-skills-functions-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name functions description Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions. compatibility Requires the browse CLI (`npm install -g browse`), Node.js 18+ with pnpm or npm, and BROWSERBASE_API_KEY. license MIT allowed-tools Bash Read Write Edit Browserbase Functions Deploy serverless browser automation using the official browse CLI. Prerequisites Get an API key from: https://browserbase.com/settings export BROWSERBASE_API_KEY= "your_api_key" Creating a Function Project 1. Initialize browse functions init my-function cd my-function This creates: my-function/ ├── package.json ├── index.ts # Your function code └── .env # Add credentials here 2. Add Credentials to .env echo "BROWSERBASE_API_KEY= $BROWSERBASE_API_KEY " >> . env 3. Install Dependencies pnpm install Function Structure import { defineFn } from "@browserbasehq/sdk-functions" ; import { chromium } from "playwright-core" ; defineFn ( "my-function" , async (context) => { const { session, params } = context; // Connect to browser const browser = await chromium. connectOverCDP (session. connectUrl ); const page = browser. contexts ()[ 0 ]!. pages ()[ 0 ]!; // Your automation await page. goto (params. url || "https://example.com" ); const title = await page. title (); // Return JSON-serializable result return { success : true , title }; }); Key objects: context.session.connectUrl - CDP endpoint to connect Playwright context.params - Input parameters from invocation Development Workflow 1. Start Dev Server browse functions dev index.ts Server runs at http://127.0.0.1:14113 2. Test Locally curl -X POST http://127.0.0.1:14113/v1/functions/my-function/invoke \ -H "Content-Type: application/json" \ -d '{"params": {"url": "https://news.ycombinator.com"}}' 3. Iterate The dev server auto-reloads on file changes. Use console.log() for debugging - output appears in the terminal. Deploying browse functions publish index.ts Output: Function published successfully Build ID: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx Function ID: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx Save the Function ID - you need it to invoke. Quick Reference Command Description browse functions init <name> Create new project browse functions dev <file> Start local dev server browse functions publish <file> Deploy to Browserbase For invocation examples, common patterns, and troubleshooting, see REFERENCE.md .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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