firecrawl/web-agent

Última actividad de origen registrada: 15 de abril de 2026 a las 13:27

Catálogo de SkillsMP actualizado: 9 de noviembre de 2026 a las 14:22

skills recopiladas: 6

Estrellas en GitHub: 1270
Forks en GitHub: 166

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/firecrawl/web-agent.

README del repositorio

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# Firecrawl Web Agent [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](./LICENSE) <img src=".internal/agent.jpg" alt="Firecrawl Agent" /> <img src="https://media1.giphy.com/media/v1.Y2lkPTc5MGI3NjExcWhub2Jmd3NvejdhaTFsb3RvZWtpb2Q3cDVpN2pzYjVqeTgxdDEwbiZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/CVyWVobjHwYGJiRz6r/giphy.gif" alt="Firecrawl Agent Demo" width="100%" /> Firecrawl runs a research-grade autonomous agent at [firecrawl.dev/app/agent](https://firecrawl.dev/app/agent), powered by [Spark 1](https://docs.firecrawl.dev/features/models) 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 ```bash # 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**](./agent-templates/next/) | Chat UI, streaming, Skills, Subagents, structured output | `firecrawl create agent -t next` | | [**Express Template**](./agent-templates/express/) | API server with Skills, Subagents, structured output | `firecrawl create agent -t express` | | ↑ | | | | [**Agent Core**](./agent-core/) | Orchestrator built on [Deep Agents](https://docs.langchain.com/oss/javascript/deepagents/overview) (LangChain). Skills, Subagents, structured output | `firecrawl create agent -t library` | | ↑ | | | | [**Firecrawl AI SDK**](https://npmjs.com/package/firecrawl-aisdk) | Search, Scrape, Interact as Vercel AI SDK tools | `npm i firecrawl-aisdk` | | ↑ | | | | [**Firecrawl SDK**](https://www.npmjs.com/package/@mendable/firecrawl-js) | Core API client for Scrape, Search, Crawl, Extract | `npm i @mendable/firecrawl-js` | | ↑ | | | | [**API Reference**](https://docs.firecrawl.dev/api-reference/v2-introduction) | REST API, use from any language | [docs.firecrawl.dev](https://docs.firecrawl.dev) | ### Examples | Level | Examples | |---|---| | Next.js | [Full template](./agent-templates/next/) | | Express | [API server](./agent-templates/express/) | | Agent Core | [Basic](./agent-core/examples/1-basic.ts) · [Structured output](./agent-core/examples/2-structured-output.ts) · [Parallel Subagents](./agent-core/examples/3-parallel-subagents.ts) · [With Skills](./agent-core/examples/4-with-skills.ts) · [Streaming](./agent-core/examples/5-streaming.ts) | | Firecrawl AI SDK | [npmjs.com/package/firecrawl-aisdk](https://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](https://docs.langchain.com/oss/javascript/deepagents/overview) (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](https://docs.langchain.com/oss/javascript/deepagents/overview). Provides the agent loop, sub-agent spawning, skills loading, and context management. - **Tools** — Search, Scrape, Interact (browser automation), bash. Powered by [firecrawl-aisdk](https://www.npmjs.com/package/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](https://github.com/vercel-labs/just-bash). ## Project structure | Directory | What's inside | |-----------|--------------| | [`agent-core/`](./agent-core/) | Core agent logic, orchestrator, Skills, tools | | [`agent-templates/`](./agent-templates/) | Deployment templates - [Next.js](./agent-templates/next/), [Express](./agent-templates/express/), [Library](./agent-templates/library/) | ## License MIT

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Analistas de investigación de mercados y especialistas en marketing Desarrolladores de software Analistas financieros y de inversiones

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competitor-analysis

Analistas de investigación de mercados y especialistas en marketing

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",…