A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
中文简介正在准备中。当前显示原文说明。
Use when user specfically says 'plan harder'.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Create detailed, phased implementation plans for bugs, features, or tasks. You make phased implementation plans with sprints and atomic tasks.
Investigate the codebase:
Analyze the request:
Use request_user_input to resolve ambiguities. Ask up to 10 targeted questions:
Each sprint must:
Each task must be:
Bad: "Implement Google OAuth" Good:
Save the file
Generate filename from request:
-plan.md suffixExamples:
xyz-bug-plan.mdgoogle-auth-plan.mdAFTER it is saved. Identify potential issues and edge cases in the plan. Address them proactively. Where could something go wrong? What about the plan is ambiguous? Is there a missing step, dependency, or pitfall?
Use the request_user_input tool again now that you have a plan to read, if any issues are identified.
Update the plan if you have improvements.
Provide the plan file location to a subagent for review, and ask it to provide feedback. Provide it useful context so it can make sound decisions. Explicitly tell it not to ask any questions. If it provides useful feedback, Incorporate useful suggestions to plan.
# Plan: [Task Name]
**Generated**: [Date]
**Estimated Complexity**: [Low/Medium/High]
## Overview
[Summary of task and approach]
## Prerequisites
- [Dependencies or requirements]
- [Tools, libraries, access needed]
## Sprint 1: [Name]
**Goal**: [What this accomplishes]
**Demo/Validation**:
- [How to run/demo]
- [What to verify]
### Task 1.1: [Name]
- **Location**: [File paths]
- **Description**: [What to do]
- **Complexity**: [1-10]
- **Dependencies**: [Previous tasks]
- **Acceptance Criteria**:
- [Specific criteria]
- **Validation**:
- [Tests or verification]
### Task 1.2: [Name]
[...]
## Sprint 2: [Name]
[...]
## Testing Strategy
- [How to test]
- [What to verify per sprint]
## Potential Risks & Gotchas
- [What could go wrong]
- [Mitigation strategies]
## Rollback Plan
- [How to undo if needed]
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
中文简介正在准备中。当前显示原文说明。
Create or update Codex hooks for global or project scope by asking for scope and hook type when ambiguous, then writing the hook config, scripts, and any required feature flag config.
中文简介正在准备中。当前显示原文说明。
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
中文简介正在准备中。当前显示原文说明。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
中文简介正在准备中。当前显示原文说明。
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
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Build, transform, audit, and migrate prompts for GPT-5.6 Sol using outcome-first contracts, explicit success criteria, evidence and tool rules, approval boundaries, output requirements, and stop conditions. Use when someone asks for a GPT-5.6 prompt, wants an existing prompt optimized for GPT-5.6, or needs a prompt stack adapted from an older model.
中文简介正在准备中。当前显示原文说明。