Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Expert capability for robust, stealthy, and efficient browser automation using Playwright Go.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
This skill provides a comprehensive framework for writing high-performance, production-grade browser automation scripts using github.com/playwright-community/playwright-go. It enforces architectural best practices (contexts over instances), robust error handling, structured logging (Zap), and advanced human-emulation techniques to bypass anti-bot systems.
Risk Level: 🔵 Safe
defer to prevent memory leaks.go run github.com/playwright-community/playwright-go/cmd/playwright@latest install --with-deps).CRITICAL: Never launch a new Browser instance for every task.
Browser once (singleton). Create a new BrowserContext for each distinct session or task.go.uber.org/zap exclusively.fmt.Println.zap.NewDevelopment() (Console friendly)zap.NewProduction() (JSON structured)logger.Info("clicking button", zap.String("selector", sel))).defer to close Pages, Contexts, and Browsers.playwright.PageClickOptions{Timeout: playwright.Float(5000)}).To bypass anti-bot systems (Cloudflare, Akamai), the generated code must imitate human physiology:
Fill(). Use Type() with random delays between keystrokes (50ms–200ms).resources/implementation-playbook.md for detailed code examples and implementation patterns.Headless=false, SlowMo=100+.NewContext, apply new Proxy, rotate User-Agent.SafeAction with Zap logging.HumanType, BezierMouse, and Stealth Scripts.还没有评价。欢迎分享你的使用感受。
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
中文简介正在准备中。当前显示原文说明。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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