# Consult LLM

> Use it when the user asks to "ask gemini", "ask codex", or "ask in browser"

- Skill: `majiayu000/consult-llm` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/consult-llm`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/consult-llm/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/consult-llm

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When consulting with external LLMs:

**1. Gather Context First**:

- Use Glob/Grep to find relevant files
- Read key files to understand their relevance
- Select files directly related to the question

**2. Determine Mode and Model**:

- **Web mode**: Use if user says "ask in browser" or "consult in browser"
- **Codex mode**: Use if user says "ask codex" → use model "gpt-5.1-codex-max"
- **Gemini mode**: Default for "ask gemini" → use model "gemini-2.5-pro"

**3. Call the MCP Tool**: Use `mcp__consult-llm__consult_llm` with:

- **For API mode (Gemini)**:
  - `model`: "gemini-2.5-pro"
  - `prompt`: Clear, neutral question without suggesting solutions
  - `files`: Array of relevant file paths

- **For API mode (Codex)**:
  - `model`: "gpt-5.1-codex-max"
  - `prompt`: Clear, neutral question without suggesting solutions
  - `files`: Array of relevant file paths

- **For web mode**:
  - `web_mode`: true
  - `prompt`: Clear, neutral question without suggesting solutions
  - `files`: Array of relevant file paths
  - (model parameter is ignored in web mode)

**4. Present Results**:

- **API mode**: Summarize key insights, recommendations, and considerations from
  the response
- **Web mode**: Inform user the prompt was copied to clipboard and ask them to
  paste it into their browser-based LLM and share the response back

**Critical Rules**:

- ALWAYS gather file context before consulting
- Ask neutral, open-ended questions to avoid bias
- Provide focused, relevant files (quality over quantity)

