multi-llm-consult
Consult external LLMs (Gemini, OpenAI/Codex, Qwen) for second opinions, alternative plans, independent reviews, or delegated tasks. Use when a user asks for another model's perspective, wants to compare answers, or requests delegating a subtask to Gemini/Codex/Qwen.
What this skill does
# Multi-LLM Consult ## Overview Use a bundled script to query external LLM providers with a sanitized prompt and return a concise comparison. ## Setup - Configure API keys in the TUI: open the Command Palette (Ctrl+P) and run **Configure LLM Providers**. - Keys are stored in `settings.json` under `llm_providers`. ## Workflow 1. Identify the **purpose** (`second-opinion`, `plan`, `review`, `delegate`). 2. Summarize the task and **sanitize sensitive data** before sending it out. 3. Run the consult script with the chosen provider. 4. Compare responses and reconcile with your own plan before acting. ## Consult Script Always run `--help` first: ```bash python skills/multi-llm-consult/scripts/consult_llm.py --help ``` Example: second opinion ```bash python skills/multi-llm-consult/scripts/consult_llm.py \ --provider gemini \ --purpose second-opinion \ --prompt "We plan to refactor module X. What risks or gaps do you see?" ``` Example: delegate a review ```bash python skills/multi-llm-consult/scripts/consult_llm.py \ --provider qwen \ --purpose review \ --prompt-file /tmp/review_request.md \ --context-file /tmp/patch.diff ``` Example: plan check with Codex (OpenAI) ```bash python skills/multi-llm-consult/scripts/consult_llm.py \ --provider codex \ --purpose plan \ --prompt "Draft a 5-step plan for implementing feature Y." ``` ## Output Handling - Treat responses as advisory; verify against repo constraints and current state. - Summarize the external response in 3-6 bullets before acting. - If responses conflict, call out the differences explicitly and choose a path. ## References - Provider defaults and configuration: `references/providers.md`
Related in AI Agents
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