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web-research

Alternatives to web-research

50 AI Skills apps to use instead, best rated first.

Top picks

  1. W

    webapp-testing

    Launch

    Native Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re

  2. C

    content-research-writer

    Launch

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on

  3. O

    openhue

    Launch

    openhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an

  4. B

    batch-grill-me

    Launch

    batch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now

  5. I

    implement

    Launch

    implement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re

  6. F

    frontend-design

    Launch

    Distinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat

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About web-research

W

web-research

Searches multiple web sources, synthesizes findings

web-research is an agent skill from the langchain-ai deepagents project, listed on skills.sh. It searches several web sources, synthesises the findings and produces a research report with citations, using delegated subagents. The process begins with a plan. The agent creates a dedicated research folder for the work, so that files do not clutter the working directory, then breaks the question into distinct subtopics that do not overlap, and saves the plan before it delegates anything. Subagents then research each subtopic and save their findings, and the agent synthesises them into a cited report. The skill is for analysts, students and developers who need a sourced overview of a topic, rather than a single answer from the model. Because the plan is saved first and each part is delegated, the research can be checked step by step. The listing shows a Snyk Warn result, so read that before installing.

View web-researchAll AI Skills apps
Price
Free
Made by
langchain-ai
Category
AI Skills
Website
github.com/langchain-ai/deepagents/web-research