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Smart Locator Agent

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anhtester
Smart Locator Agent

Skill sinh locator ổn định và dễ bảo trì cho UI automation, hỗ trợ Playwright, Selenium và Appium.

Overview

Publisheranhtester
Repositoryantigravity-testing-kit
Skill nameSmart Locator Agent
Stars
149
Forks
57
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by anhtester on GitHub. Read the source before you install it.

Installation

Install the Smart Locator Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anhtester/antigravity-testing-kit/tree/main/.agent/skills/smart_locator_agent
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anhtester/antigravity-testing-kit.git /tmp/antigravity-testing-kit
mkdir -p .claude/skills
cp -r /tmp/antigravity-testing-kit/.agent/skills/smart_locator_agent .claude/skills/anhtester-smart-locator-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Smart Locator Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Smart Locator Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Smart Locator Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Smart Locator Agent

Purpose: Generate stable and maintainable locators for UI automation.

Applicable frameworks:

  • Playwright
  • Selenium
  • Appium

When to Use

Use this skill when:

  • Generating locators for new UI elements
  • Reviewing existing locators for stability
  • Migrating locators between frameworks

Responsibilities

The agent must:

  1. Inspect the DOM or mobile UI hierarchy (NEVER guess)
  2. Identify stable attributes
  3. Generate a reliable locator
  4. Validate locator uniqueness
  5. Provide fallback locator if primary is fragile

Locator Priority

Use the following priority order:

  1. Accessibility attributes (aria-label, role)
  2. data-testid / data-test / data-qa
  3. id
  4. name
  5. Framework semantic locator
  6. css selector
  7. xpath (last option)

Note: For detailed rules, refer to .agent/rules/locator_strategy.md.


Playwright Locators

Preferred locator methods:

  1. getByRole() — Best for semantic elements
  2. getByLabel() — Best for form fields with labels
  3. getByPlaceholder() — Best for inputs with placeholder text
  4. getByText() — Best for text content
  5. getByTestId() — Best when data-testid is available

Example:

typescript
page.getByRole("button", { name: "Submit" })
page.getByLabel("Email")
page.getByPlaceholder("Enter your password")

Note: For detailed rules, refer to .agent/rules/playwright_rules.md.


Selenium Locators

Preferred order:

  1. id
  2. data-testid
  3. name
  4. cssSelector
  5. xpath

Example:

java
driver.findElement(By.id("login-button"));
driver.findElement(By.cssSelector("button[data-testid='submit-btn']"));

Note: For detailed rules, refer to .agent/rules/selenium_rules.md.


Appium Locators

Preferred order:

  1. accessibility id
  2. resource-id
  3. id
  4. iOS predicate string
  5. class chain
  6. xpath

Example:

java
driver.findElement(AppiumBy.accessibilityId("login_button"));
driver.findElement(AppiumBy.id("com.app:id/login_button"));
driver.findElement(AppiumBy.iOSNsPredicateString("label == 'Login'"));

Note: For detailed rules, refer to .agent/rules/appium_rules.md.


Validation Rules

Before using a locator, ensure:

  • It matches exactly one element
  • The element is visible and interactable
  • It is stable across page reloads
  • It survives cosmetic DOM changes (layout, styling)
  • It does NOT use dynamic class names or positional xpath

Output Format

When generating locators, provide:

  1. Primary locator — The best, most stable option
  2. Fallback locator — Alternative if primary breaks
  3. Reasoning — Why this locator was chosen

Rules References

  • .agent/rules/locator_strategy.md — Master locator priority map
  • .agent/rules/playwright_rules.md — Playwright-specific locator rules
  • .agent/rules/selenium_rules.md — Selenium-specific locator rules
  • .agent/rules/appium_rules.md — Appium-specific locator rules

Frequently asked questions

What does the Smart Locator Agent AI skill do?

Skill sinh locator ổn định và dễ bảo trì cho UI automation, hỗ trợ Playwright, Selenium và Appium.

Why use Smart Locator Agent on TypingMind?

Because you install it once and use it with any model. Smart Locator Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Smart Locator Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anhtester/antigravity-testing-kit/tree/main/.agent/skills/smart_locator_agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Smart Locator Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Smart Locator Agent?

As many as you like. As long as a model supports skills, you can use Smart Locator Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Smart Locator Agent AI skill free?

Yes. It is published on GitHub by anhtester under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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