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Found 86 Skills
A single-entry skill for Xiaohongshu (Creator Center) login to obtain cookies, note publishing, and data export (browser interaction delegated to agent-browser-stealth)
Search Zhihu (知乎) using agent-browser with proper authentication handling. Use when user asks to "search zhihu", "知乎搜索", "在知乎上找", or any Zhihu-related search requests. Handles login requirements, session persistence, and common error cases like 40362 restrictions.
Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.
JEO — 통합 AI 에이전트 오케스트레이션 스킬. ralph+plannotator로 계획 수립, team/bmad로 실행, agent-browser로 브라우저 동작 검증, 작업 완료 후 worktree 자동 정리. Claude, Codex, Gemini CLI, OpenCode 모두 지원. 설치: ralph, omc, omx, ohmg, bmad, plannotator, agent-browser.
Run headless Chrome in Next.js serverless functions using @sparticuz/chromium + puppeteer-core. Use when the user needs browser automation from a Next.js app, wants to take screenshots or snapshots from server actions or API routes, or is building a Next.js app that needs headless Chrome. Triggers include "screenshot from Next.js", "headless Chrome in serverless", "browser automation in Next.js", "puppeteer on Vercel", or any task requiring Chrome in a Next.js server context.
Guide AI agents to generate complete PageObject pattern web scraper projects using Playwright and TypeScript with Docker deployment. Supports agent-browser site analysis for automated selector discovery. Keywords: scraper, playwright, pageobject, web scraping, docker, typescript, data extraction, automation.
Anti-detection browser automation using Camoufox (Firefox fork with C++ fingerprint spoofing). Use when standard browser tools get blocked by Cloudflare, Akamai, or bot detection. Triggers include "stealth browse", "anti-detection", "bypass bot", "camofox", "blocked by Cloudflare", scraping protected sites (X/Twitter, Amazon, Product Hunt), or when agent-browser/playwright fails with bot detection errors.
Executes full-project QA like a real user by discovering the repository verification and E2E contracts, running build, lint, test, and startup commands, exercising core workflows end-to-end through CLI, HTTP, and browser interfaces, requiring automated regression coverage for supported critical flows, fixing root-cause regressions, and rerunning the full gate. Uses the agent-browser companion skill for Web UI validation when a web surface exists. Use when validating a branch, release candidate, migration, refactor, or risky commit. Do not use for static code review only, one-off unit test edits, planning test cases, or architecture brainstorming without execution — use qa-report for planning and documentation.
General web search and content extraction skill. It supports multi-source parallel search (WebSearch, MCP search tools, ctx7, agent-browser), web page main content extraction (defuddle/WebFetch) and structured article analysis. This skill is used when users need to search for information, research topics, find materials, obtain web content, read articles, or analyze web pages. Trigger scenarios include: search, research, investigation, fetch, check for me, help me find, read this link, analyze this article. Even if the user doesn't explicitly say "search", this skill should be triggered as long as it involves information acquisition and web content processing.
Create a Linear OAuth application and configure Cyrus to use it — supports agent-browser automation or guided manual setup.
Visual UI annotation tool for AI agents. Drop the React toolbar into any app — humans click elements and leave feedback, agents receive structured CSS selectors, bounding boxes, and React component trees to find exact code. Supports MCP watch-loop, platform-specific hooks (Claude Code / Codex / Gemini CLI / OpenCode), webhook delivery, and autonomous self-driving critique with agent-browser.
Integrated AI agent orchestration skill that combines plannotator, ralphmode, team or bmad execution, agent-browser verification, and agentation feedback loops, while maintaining a project-local `.jeo` ledger for planning, development, and QA. Use when the user wants an end-to-end multi-agent workflow with plan approval, implementation, UI review, cleanup, and durable task history. Triggers on: jeo, annotate, ui-review, multi-agent orchestration.