consult-oracle

name	consult-oracle
description	Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches. Use when stuck on a very hard problem, when standard approaches have failed, when multiple debugging attempts haven't worked, or when the user says "ask the oracle", "consult oracle", "consult chatgpt", "I'm completely stuck", "I've tried everything", or "nothing is working".

Consult Oracle

Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches.

Configuration

The oracle reads from ~/.turbo/config.json:

{
  "oracle": {
    "chatgptUrl": "https://chatgpt.com/",
    "chromeProfile": "Default"
  }
}

Key	Purpose	Default
chatgptUrl	ChatGPT URL (e.g., a custom GPT project URL)	https://chatgpt.com/
chromeProfile	Chrome profile directory name	Default

Step 1: Identify Key Files

Find the 2-5 files most relevant to the problem.

Step 2: Formulate the Question

Write a clear, specific problem description. Include what has already been tried and why it failed. Open with a short project briefing (stack, services, build steps). The more context, the better the response.

Step 3: Run the Oracle

Use a generous timeout (60 minutes / 3600000ms). The script loads chatgptUrl and chromeProfile from ~/.turbo/config.json automatically and reuses the signed-in ChatGPT session from that Chrome profile. Generate a random tag and persist the response:

ORACLE_TAG=$(head -c 4 /dev/urandom | xxd -p) && mkdir -p .turbo/oracle
python3 scripts/run_oracle.py --prompt "<problem description>" --file <relevant files...> --write-output ".turbo/oracle/$ORACLE_TAG.txt"

Keep backticks and $ out of --prompt even in text you wrote, since both stay live inside the quotes. Text you did not author — a diff, file contents, an error trace, command output — goes in a file passed with --file, written with apply_patch. This holds on follow-up turns too.

If the run fails, retry the command once — same prompt, attachments, profile, and timeout — when the failure looks transient, such as a browser challenge or automation error while the signed-in session is otherwise healthy. Report an authentication, browser-challenge, or permission blocker only after the retry reproduces it, and cite the failing output. Do not broaden permissions when the current context already has the access the run needs.

Step 4: Follow Up

Resume the same ChatGPT conversation with --followup and the session slug. The prior turn's attached files and context persist, so re-attaching the full diff each turn is unnecessary. Use the same generous timeout as Step 3 (60 minutes / 3600000ms):

python3 scripts/run_oracle.py --followup "<session-slug>" --prompt "<follow-up>" --write-output ".turbo/oracle/$ORACLE_TAG.txt"

Find the slug with python3 scripts/run_oracle.py status (the Slug column; follow-ups nest under their parent session) or from the directory names under ~/.oracle/sessions/.

Reuse the chat for a multi-turn review of the same code; start a fresh session (Step 3) for an unrelated question. Cap at 5 turns to prevent runaway conversations.

When the reviewed code changed since the prior turn, re-attach the changed files (--file <paths>) or a fresh diff, or state what changed. Otherwise the model reasons from the earlier attachments and flags already-fixed issues as live contradictions.

Step 5: Synthesize

Read the response from .turbo/oracle/$ORACLE_TAG.txt. Summarize the key insights from the consultation. Cross-reference suggestions with official docs and peer open-source implementations before applying. Oracle suggestions are starting points, not guaranteed solutions.