How do I install the Multi LLM Consult skill?

Run npx skillmds add nickcrew/multi-llm-consult in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Multi LLM Consult safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Multi LLM Consult?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Multi LLM Consult free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Multi LLM Consult?

nickcrew (@nickcrew) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Multi LLM Consult by nickcrew — Agent Skill

Name: Multi LLM Consult
Rating: 4.2 (5 reviews)
Author: nickcrew

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.

nickcrew 85a1c3d 3 files · 13.3 KB Updated Sep 9, 2026

File contents

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

Identify the purpose (second-opinion, plan, review, delegate).
Summarize the task and sanitize sensitive data before sending it out.
Run the consult script with the chosen provider.
Compare responses and reconcile with your own plan before acting.

Consult Script

Always run --help first:

python skills/multi-llm-consult/scripts/consult_llm.py --help

Example: second opinion

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

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)

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

---name: multi-llm-consultdescription: 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.--- # 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`

Frequently asked questions