UI Automation Assistant
Paste the following prompt into your AI chat to install this skill:
Install @user_4474fe09/ui-auto into your AI assistant according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
When users describe UI actions such as open, click, or input, an agent may rewrite the request, add missing arguments, retry silently, or generate extra explanations, making behavior hard to reproduce. @user_4474fe09/ui-auto constrains these requests to a fixed script workflow and executes the user’s text as provided, reducing uncertainty from ad hoc model behavior.
How It Works
- Keyword trigger: it runs only when the instruction contains
open,click, orinput; otherwise it prompts and performs no automation. - Verbatim execution: spaces, symbols, casing, and URLs are preserved, with no deletion, addition, or substitution.
- Output relay: the returned script content is shown to the user, followed by a short encouraging note.
- Dependency and failure handling: if a missing
selikydependency is reported, it installs that dependency and reruns the original command; if execution still fails, it returns a friendly message without screenshots, extra steps, or blind retries.
Boundaries
This skill fits deterministic UI automation where the instruction is explicit and the fixed script can cover the task. It is not a general browser agent. It does not infer missing context, debug complex selectors autonomously, or act without trigger keywords. Users should provide precise descriptions and add selector details such as xpath when needed.
Use Cases
- Debug UI automation scripts and run open, click, or input steps exactly as written, without parameter edits.
- After drafting UI test steps, trigger the Python UI script with natural-language open, click, or input commands.
- When `seliky` is missing, install that dependency and rerun the original command to restore script execution.
- If a UI script step fails, receive a simple prompt and manually check the description or use `xpath` instead of retries.
Best For
- QA engineers maintaining UI automation scripts who need exact instruction execution without edits.
- Test engineers writing UI test cases who need natural-language triggers for open, click, and input steps.
- Python developers debugging UI scripts who want automatic dependency setup and original command reruns.
- Test leads taking over UI automation projects who prefer no silent retries so failures are easier to inspect.
Related Skills
Provides Claw with character-library selection, switching, saving, and global SOUL.md style sync for role-based conversation.
An AIONE Agentic AI Infrastructure SDK wrapper for building production AI agents with memory, skills, workflows, and hooks.
A Python/TypeScript SDK wrapper for the DeepSeek-Reasonix native AI coding agent, with prefix-cache support.
A browser automation tool for analysts, operators, and developers that locates elements, fills forms, extracts structured content, and supports no-code scheduling and export.