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.

13 stars

byNickCrew

View on GitHub Installation ↓

Best use case

multi-llm-consult is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using multi-llm-consult should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/multi-llm-consult/SKILL.md --create-dirs "https://raw.githubusercontent.com/NickCrew/Claude-Cortex/main/skills/multi-llm-consult/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/multi-llm-consult/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How multi-llm-consult Compares

Feature / Agent	multi-llm-consult	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.