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Gemini worker

Skill Syysean/web-ai-skills/gemini-worker

Use this skill to send a prompt to Gemini and get a response. Triggers when the user wants to query Gemini, use Gemini as an AI worker, or when the web-ai-router directs a task to Gemini. Handles navigation, input, waiting, and response extraction automatically. No login required.From its SKILL.md

Install
npx -y skills add Syysean/web-ai-skills --skill gemini-worker

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `node ~/.pi/agent/skills/local-browser-tools/browser-start.js` and 1 more.
  • fetches URLsInstructs the agent to fetch 1 URL, including https://gemini.google.com/app.

SKILL.md

6.0 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it

Gemini Worker

Send a prompt to Gemini via browser and return the response.

Environment

  • Browser: Chrome on localhost:9222 (managed by local-browser-tools)
  • Login: Not required — Gemini guest mode is confirmed working
  • Tools: browser-start.js, browser-nav.js, browser-eval.js, browser-screenshot.js

Input

prompt: string        # The text to send to Gemini
task_type: string     # qa | summary | translation | rewrite | extraction | comparison | brainstorming | analysis

Output

Always output this JSON block first:

{
  "site": "gemini",
  "task_type": "<task_type>",
  "status": "success | partial | error",
  "answer": "<extracted response text>",
  "retry_count": 0,
  "elapsed_ms": 0,
  "error_reason": null
}

Then follow with a short human-readable summary (2–3 sentences max).


Workflow

Step 1 — Start browser

node ~/.pi/agent/skills/local-browser-tools/browser-start.js

Expected: ✓ Chrome already running on :9222 or ✓ Chrome started on :9222

If fails: return error status, stop.


Step 2 — Navigate to Gemini

node ~/.pi/agent/skills/local-browser-tools/browser-nav.js https://gemini.google.com/app

After navigation, take a screenshot and verify:

  • Input box is visible
  • Page is NOT a login wall (a "Sign in" button in the top-right corner is normal and acceptable — guest mode works)

If a full-page login form appears with no input box: return error status, stop.


Step 3 — Locate input box

Try selectors in this order until one works:

  1. [aria-label="Enter a prompt for Gemini"]
  2. [contenteditable="true"][role="textbox"]
  3. div.ql-editor

Use browser-eval.js to check:

!!document.querySelector('[aria-label="Enter a prompt for Gemini"]')

If no selector works after 3 attempts: trigger retry.


Step 4 — Insert prompt

(function() {
  const input = document.querySelector('[aria-label="Enter a prompt for Gemini"]')
    || document.querySelector('[contenteditable="true"][role="textbox"]')
    || document.querySelector('div.ql-editor');
  if (!input) return "NOT_FOUND";
  input.focus();
  input.textContent = "";
  input.textContent = PROMPT_TEXT;
  input.dispatchEvent(new Event("input", { bubbles: true }));
  return input.textContent;
})()

Verify returned value matches the intended prompt. If mismatch: retry.


Step 5 — Send

Try send button selectors in this order — use aria-label only, not class (Angular dynamic classes like ng-tns-* are unreliable):

  1. Array.from(document.querySelectorAll('button')).find(b => b.getAttribute('aria-label') === 'Send message')?.click()
  2. Array.from(document.querySelectorAll('button')).find(b => b.getAttribute('aria-label')?.includes('Send'))?.click()

If both selectors return undefined, fallback to pressing Enter on the focused input element: document.querySelector('[contenteditable]')?.dispatchEvent(new KeyboardEvent('keydown', { key: 'Enter', bubbles: true, cancelable: true }))

After sending, take a screenshot to confirm the message appears in the chat.


Step 6 — Wait for response

Poll every 3 seconds, maximum 120 seconds total. Do NOT use fixed sleep.

Spinner selectors are unreliable — both match static elements on the page. Use response length stability as the primary completion signal:

  1. After sending, start polling document.querySelector('model-response')?.innerText?.trim()?.length
  2. Take a screenshot on the first poll where length > 0 — save as "thinking" screenshot
  3. Treat response as complete when length is non-zero and unchanged across 2 consecutive polls — save as "response complete" screenshot

If 120 seconds pass with no stable response: trigger retry.


Step 7 — Extract response

(function() {
  // Get all Gemini response containers
  const responseEls = document.querySelectorAll('model-response, .model-response-text, [data-response-id]');
  if (responseEls.length > 0) {
    return responseEls[responseEls.length - 1].innerText?.trim();
  }
  // Fallback: find last message block that is not the user bubble
  const allMessages = document.querySelectorAll('.conversation-container p, .response-content p');
  if (allMessages.length > 0) {
    return Array.from(allMessages).map(el => el.innerText).join('\n').trim();
  }
  return "EXTRACTION_FAILED";
})()

Validate the result:

  • Must contain text
  • Must not equal the original prompt
  • Must not be UI chrome text (e.g. "Ask Gemini", "Sign in", "Gemini is AI")

If validation fails: trigger retry.


Retry Policy

  • Maximum retries: 2
  • On each retry: re-navigate to https://gemini.google.com/app before retrying
  • After 2nd failure: return status: "error" with error_reason explaining which step failed

Decision Guide for the Agent

Screenshot shows spinner still spinning → keep waiting, do not extract yet
Screenshot shows "Sign in" button only (no input box) → full login wall, return error
Screenshot shows input box + "Sign in" button → guest mode, proceed normally  
Extracted text is empty or equals prompt → extraction failed, retry

Selector Change Resilience

Google frequently updates Gemini's DOM. If a selector stops working:

  1. Use browser-eval.js to list all [contenteditable] and button elements on the page
  2. Identify the correct element by its aria-label, role, or visible text
  3. Use the working selector for this session
  4. Note in the output which fallback selector was used

Example Output

{
  "site": "gemini",
  "task_type": "qa",
  "status": "success",
  "answer": "TEST-123",
  "retry_count": 0,
  "elapsed_ms": 18400,
  "error_reason": null
}

Summary: Gemini responded successfully in 18.4 seconds. Answer: "TEST-123".

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.