What problem does it solve? AI agents' built-in web tools (WebSearch, WebFetch) lack scheduling strategy and browser automation, so they fail on login-required sites, anti-scraping platforms like Xiaohongshu or WeChat, and dynamic pages. This Skill adds a tool-selection strategy, CDP browser automation against the user's own Chrome or Edge, and per-site experience accumulation. ## Core Features & Use Cases - Automatic tool selection: Chooses among WebSearch, WebFetch, curl, Jina, and CDP browser control based on the task, with guidance on when static fetching fails and a real browser is required. - CDP Proxy browser automation: Connects to the user's everyday Chrome/Edge via remote debugging, inheriting login sessions, with endpoints for tabs, JS evaluation, clicking, file upload, scrolling, and screenshots including video frame capture. - Local bookmark/history search: The find-url.mjs script locates URLs from Chrome/Edge bookmarks and history by keyword, time window, or visit frequency, covering internal systems that public search cannot reach. - Use Case: Ask the agent to research five products across their official sites in parallel; it spawns sub-agents sharing one CDP proxy with tab-level isolation, then returns a comparison summary. ## Quick Start Ask your agent to install the skill from https://github.com/eze-is/web-access and then request any web task such as searching a topic or reading a page behind a login.