| name | chatgpt-worker |
| description | Use this skill to send a prompt to ChatGPT and get a response. Triggers when the user wants to query ChatGPT, use ChatGPT as an external AI worker, or when the web-ai-router directs a task to ChatGPT. Best for general QA, writing, coding, and creative tasks. Requires login — session is persisted in Chrome profile. |
ChatGPT Worker
Send a prompt to ChatGPT via browser and return the response.
Environment
- URL: https://chatgpt.com
- Browser: Chrome on localhost:9222 (managed by local-browser-tools)
- Login: Required — session persisted in ~/.cache/browser-tools profile
- Tools:
browser-start.js, browser-nav.js, browser-eval.js, browser-screenshot.js
Input
prompt: string # The text to send to ChatGPT
task_type: string # qa | summary | translation | rewrite | extraction | comparison | brainstorming | analysis
Output
Always output this JSON block first:
{
"site": "chatgpt",
"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).
Critical Architecture Note
ChatGPT uses ProseMirror as its rich text editor. The real input element is a div.ProseMirror, NOT the <textarea> on the page. The textarea (wcDTda_fallbackTextarea) is a hidden accessibility fallback that React does not monitor for input. Writing to the textarea will never trigger the send button — it will always launch voice mode instead.
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 ChatGPT
node ~/.pi/agent/skills/local-browser-tools/browser-nav.js https://chatgpt.com
Take a screenshot and verify:
- Input area is visible
- Not showing a login wall
If login page appears: return error_reason: "login_required", stop.
Step 3 — Locate input box
ChatGPT's real input is a ProseMirror div, NOT a textarea.
Check:
!!document.querySelector('div.ProseMirror[contenteditable="true"]')
Fallback selectors in order:
div.ProseMirror[contenteditable="true"]
div[role="textbox"][aria-label="Chat with ChatGPT"]
div[contenteditable="true"][role="textbox"]
DO NOT use textarea — it is the wrong element.
If no selector works after 3 attempts: trigger retry.
Step 4 — Insert prompt
Use execCommand("insertText") — this is the correct method for ProseMirror editors. Do NOT set innerHTML or textContent directly as ProseMirror will not register the change.
(function() {
const input = document.querySelector('div.ProseMirror[contenteditable="true"]')
|| document.querySelector('div[role="textbox"][aria-label="Chat with ChatGPT"]')
|| document.querySelector('div[contenteditable="true"][role="textbox"]');
if (!input) return "NOT_FOUND";
input.focus();
input.innerHTML = "";
const sel = window.getSelection();
const range = document.createRange();
range.selectNodeContents(input);
sel.removeAllRanges();
sel.addRange(range);
document.execCommand("insertText", false, PROMPT_TEXT);
return input.textContent;
})()
Verify returned value matches the intended prompt. If mismatch: retry.
Take a screenshot to confirm text appears in the input area.
Step 5 — Send
After Step 4 succeeds, the composer-submit-button-color button will behave as a send button. Click it:
document.querySelector('button.composer-submit-button-color')?.click()
After clicking, take a screenshot to confirm:
- The message bubble appears in the chat
- The input area is cleared
If the input area is NOT cleared: Step 4 likely wrote to the wrong element. Re-check Step 3 selector and retry from Step 4.
Step 6 — Wait for response
Poll every 3 seconds, maximum 120 seconds total.
Do NOT use fixed sleep.
Use response length stability as the primary completion signal:
- After sending, start polling response text length
- Take a screenshot on the first poll where length > 0 — save as "thinking" screenshot
- Treat response as complete when length is non-zero and unchanged across 2 consecutive polls — save as "response complete" screenshot
Response extraction for polling:
(function() {
const msgs = document.querySelectorAll('[data-message-author-role="assistant"]');
if (msgs.length > 0) return msgs[msgs.length - 1].innerText?.trim()?.length || 0;
return 0;
})()
If 120 seconds pass with no stable response: trigger retry.
Step 7 — Extract response
(function() {
const msgs = document.querySelectorAll('[data-message-author-role="assistant"]');
if (msgs.length > 0) {
return msgs[msgs.length - 1].innerText?.trim();
}
const candidates = document.querySelectorAll('[class*="markdown"], [class*="prose"]');
if (candidates.length > 0) {
return candidates[candidates.length - 1].innerText?.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 anything", "ChatGPT can make mistakes")
If validation fails: trigger retry.
Retry Policy
- Maximum retries: 2
- On each retry: re-navigate to
https://chatgpt.com before retrying
- After 2nd failure: return
status: "error" with error_reason explaining which step failed
Selector Change Resilience
If a selector stops working:
- Use
browser-eval.js to list all [contenteditable] elements: Array.from(document.querySelectorAll('[contenteditable]')).map(e => ({tag: e.tagName, role: e.getAttribute('role'), aria: e.getAttribute('aria-label'), cls: String(e.className).slice(0, 80)}))
- Identify the ProseMirror editor by its className or role="textbox"
- Never use the
textarea element — it is always the wrong target
Example Output
{
"site": "chatgpt",
"task_type": "qa",
"status": "success",
"answer": "TEST-CHATGPT",
"retry_count": 0,
"elapsed_ms": 14000,
"error_reason": null
}