快速判断

01这个 Skill 是干嘛的: 结合网页抓取和 Agent 流程完成站点、竞品与市场信息分析。
02它能解决什么问题: 解决研究资料分散在大量网页、动态内容难提取和人工汇总耗时的问题。
03它适合谁来用: 适合需要批量网页研究、竞品监测和市场情报整理的分析人员。

web-agent

用网页抓取与 Agent 流程完成竞品、市场和站点信息分析。

主要能力

Compare two or more companies, products, or platforms across pricing, features, positioning, and docs. Use this skill whenever the user says "compare X vs Y", "how does X stack up against Y", "alternatives to X", "competitive landscape of …", "X vs Y vs Z", or asks for a competitor matrix. Uses search to discover competitors when the user only names a category, then scrape for each competitor's homepage, pricing page, and features/docs. Returns a normalized comparison matrix as JSON.

使用方式

仓库级安装会保留完整目录；本次核验的入口是 agent-core/src/skills/definitions/competitor-analysis/SKILL.md。使用前先阅读英文 README 与原始 SKILL.md，并按当前 Agent 的目录规范安装。

适用边界

抓取必须遵守 robots、站点条款与频率限制，结果还需核对来源时间。

许可与来源

来源：GitHub 公开仓库。核验许可：MIT。本页是贴近原仓库结构的中文导读，具体参数、依赖和更新记录以英文 README 为准。

Firecrawl Web Agent

Firecrawl runs a research-grade autonomous agent at firecrawl.dev/app/agent, powered by Spark 1 models optimized for structured web research. This repo gives you the open-source foundation to build your own — fork it, swap models, add skills, and deploy however you want.

Get started

# 1. Install the Firecrawl CLI and authenticate
npx -y firecrawl-cli@latest init -y --browser

# 2. Scaffold an agent project
firecrawl create agent -t next

Open Source

Each layer builds on the one below it. Start at the top for a ready-to-use app, or go lower in the stack for finer control over the primitives.

Layer	Description	Get started
Next.js Template	Chat UI, streaming, Skills, Subagents, structured output	`firecrawl create agent -t next`
Express Template	API server with Skills, Subagents, structured output	`firecrawl create agent -t express`
↑
Agent Core	Orchestrator built on Deep Agents (LangChain). Skills, Subagents, structured output	`firecrawl create agent -t library`
↑
Firecrawl AI SDK	Search, Scrape, Interact as Vercel AI SDK tools	`npm i firecrawl-aisdk`
↑
Firecrawl SDK	Core API client for Scrape, Search, Crawl, Extract	`npm i @mendable/firecrawl-js`
↑
API Reference	REST API, use from any language	docs.firecrawl.dev

Examples

Level	Examples
Next.js	Full template
Express	API server
Agent Core	Basic · Structured output · Parallel Subagents · With Skills · Streaming
Firecrawl AI SDK	npmjs.com/package/firecrawl-aisdk

How it works

The agent combines web tools with an AI model in a loop — it plans, acts, observes, and repeats until the task is done. The harness is Deep Agents (from LangChain), which gives us the plan-act loop, parallel task sub-agent spawning, and on-demand SKILL.md loading out of the box. Our agent-core wires Firecrawl's tools into that runtime and layers on structured output and streaming.

Harness — Deep Agents. Provides the agent loop, sub-agent spawning, skills loading, and context management.
Tools — Search, Scrape, Interact (browser automation), bash. Powered by firecrawl-aisdk.
Skills — reusable SKILL.md playbooks. Auto-discovered from agent-core/src/skills/definitions/, loaded on demand via Deep Agents' skills middleware.
Subagents — parallel workers for independent tasks, spawned via Deep Agents' task tool. Each has its own tool set and session state (e.g. an isolated interact browser session).
Output — structured results via formatOutput (JSON) and data processing via bashExec, a set of bash tools powered by just-bash.

Project structure

Directory	What's inside
`agent-core/`	Core agent logic, orchestrator, Skills, tools
`agent-templates/`	Deployment templates - Next.js, Express, Library

License

MIT

请帮我安装「web-agent」。它是一个 Agent Skill 或仓库级 Skill 包。来源：https://github.com/firecrawl/web-agent 请先阅读仓库的 README、SKILL.md 与安装说明，再按我当前使用的 Agent 的原生规范安装；如果仓库兼容 Agent Skills CLI，优先执行「npx skills add https://github.com/firecrawl/web-agent」。不要写死为某一个 Agent 的专用目录，不覆盖已有同名文件。完成后告诉我实际安装位置、启用方式和验证结果。