mm-consult

name: "mm-consult" description: Asks other LLMs through OpenRouter with Mirror identity context user-invocable: true

Consult

Sends prompts with Mirror identity context to other models through OpenRouter.

Syntax

/mm-consult <family> [tier] ["question"]
/mm-consult credits

• family: gemini, grok, deepseek, openai, claude, llama, or a direct model ID
• tier: lite (default), mid, flagship
• question present: send it directly
• question missing: synthesize the current conversation and create the prompt

Flow

Explicit Question

Analyze the message to determine persona and journey using Mirror routing.

uv run python -m memory consult FAMILY TIER "QUESTION" \
  [--persona PERSONA] [--journey JOURNEY] [--org]

Examples:

• /mm-consult gemini lite "draft an opening for this article" → uv run python -m memory consult gemini lite "draft an opening for this article" --persona writer
• /mm-consult deepseek "is this design overengineered?" → uv run python -m memory consult deepseek "is this design overengineered?" --persona engineer

The script prints the response, cost, and balance. Always show the complete response to the user without summarizing or omitting it.

No Question

When the user omits the question, synthesize Mirror Mode content (reflection, strategy, content — not Builder Mode code or architecture) into a self-contained prompt, then call:

uv run python -m memory consult FAMILY TIER "SYNTHESIZED_PROMPT" \
  [--persona PERSONA] [--journey JOURNEY] [--org]

The synthesized prompt must be self-contained — the external LLM has no access to the conversation.

Credits

uv run python -m memory consult credits

Shows OpenRouter usage and remaining balance.

Available Families And Tiers