Skill rankings
Best browser automation skills for AI agents
Find skills that help agents click through websites, fill forms, test user flows, verify UI state, and interact with browser-based tools.
Shown: 30 · Candidates: 471
Compare top 4- 01
Webapp Testing
Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.
@anthropicsBrowser Automation180,766Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 93/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 32/100
- 02
Playwright Browser Skill
Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.
@openaiBrowser Automation28,031Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 31/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 30/100
- 03
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
@LeonxlnxDesign95,198Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 99/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 04
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
@anthropicsDesign180,766Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 93/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 05
Crawlee
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.
@apifyBrowser Automation25,731Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 88/100
- Quality
- 100/100
- Freshness
- 34/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 27/100
- 06
GenericAgent
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
@lsdefineAgent Frameworks14,276Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 83/100
- Quality
- 100/100
- Freshness
- 74/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 07
Scrapling
Adaptive web scraping for agent data collection
@D4VinciWeb Automation70,009Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 97/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 26/100
- 08
Browser Use
Make AI agents interact with websites using natural language
@browser-useWeb Automation100,530Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 25/100
- 09
Midscene
AI-powered, vision-driven UI automation for every platform.
@web-infra-devAutomation14,188Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 83/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 26/100
- 10
Crawlee Python
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.
@apifyBrowser Automation9,507Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 80/100
- Quality
- 100/100
- Freshness
- 34/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 23/100
- 11
OpenCLI
Make Any Website into CLI & Use your logged-in browser by AI agent.
@jackwenerAgent Frameworks26,604Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 23/100
- 12
Browser Harness
Browser Harness | Self-healing harness that enables LLMs to complete any task.
@browser-useAgent Frameworks17,301Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 85/100
- Quality
- 100/100
- Freshness
- 15/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 13
Figma Implement Design
Translate Figma designs into production-ready UI code with close visual fidelity and component-level detail.
@openaiDesign28,031Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 31/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 14
Ui Ux Pro Max Skill
An AI agent skill that provides design intelligence and UI/UX guidelines for building professional interfaces across multiple platforms.
@nextlevelbuilderDevelopment107,051Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 19/100
- 15
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
@bytedanceAutomation36,958Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 21/100
- 16
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
@mattpocockCoding164,748Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 19/100
- 17
Maxun
🔥 The open-source no-code platform for web scraping, crawling, search and AI data extraction • Turn websites into structured APIs in minutes 🔥
@getmaxunWeb Automation16,203Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 84/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 18
Video Use
A tool that lets AI agents like Claude Code edit videos by cutting filler words, color grading, adding subtitles, and more, all via natural language commands.
@browser-useMedia17,140Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 85/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 19
Taste Skill
A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.
@LeonxlnxDevelopment64,963Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 20
Web Design Guidelines
Review UI code for web interface guidelines, UX quality, accessibility, and interaction design best practices.
@vercel-labsDesign32,304Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 9/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 21
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 87/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 20/100
- 22
Career Ops
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
@santiferDevelopment59,910Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 23
Vercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
@vercel-labsCoding32,304Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 9/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 24
Apple Design
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
@emilkowalskiDesign34,452Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 25
Huginn
Create agents that monitor and act on your behalf. Your agents are standing by!
@huginnAutomation49,478Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 94/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 26
ToolJet
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
@ToolJetAutomation38,020Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 27
Oh My Claudecode
Teams-first Multi-agent orchestration for Claude Code
@Yeachan-HeoAgent Frameworks36,986Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 28
Frontend Slides
Create beautiful slides on the web using a coding agent's frontend skills
@zarazhangruiCoding28,772Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 29
Conductor
Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents
@conductor-ossAutomation31,951Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 30
Antigravity Awesome Skills
A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.
@sickn33Development43,550Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 18/100
A shortlist from up to 480 directory candidates, not the entire registry. Stars belong to repositories. Signals are not safety guarantees or runtime verification.
How this list works
Matches task and source metadata, then considers quality, popularity and freshness. Source descriptions are not execution evidence.
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.













































