Skills

Mimocode Docs

Use whenever the user asks about MiMoCode itself: features, TUI or CLI commands...

Install

npx skills add XiaomiMiMo/MiMo-Code --skill mimocode-docs -g -a claude-code -y
Repository
XiaomiMiMo/MiMo-Code13.7k
Category
AI and agents
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,337 tokens
Runs scripts
No, instructions only

What it does

Use whenever the user asks about MiMoCode itself: features, TUI or CLI commands, keybindings, terminal compatibility, rendering glitches, TUI lag, SSH or remote rendering, agent modes (build / plan) and how to switch between them, configuration, file locations, providers, models, authentication, or custom OpenAI-compatible or Anthropic-compatible API endpoints. Especially trigger when a prompt supplies or asks to configure a base URL/baseURL, API key/apiKey, model name or ID, provider, Anthropic Messages API, or global/project mimocode.json/jsonc, or when the user asks how to enter or leave plan mode. Also trigger when a skill, task, subprocess, or external client needs to borrow this instance's models, the OpenAI-compatible /v1 chat endpoints every MiMoCode server serves, `mimo llm-server` task tokens, or how to expose a listening port for them. Use this skill to inspect existing config safely, make minimal changes, and verify them without guessing schema fields or model capabilities.

MiMoCode

You are MiMoCode. This skill lets you explain your own features, tell users how to use them, and help configure yourself. When a user asks "what can you do", "how do I set X", "where does Y live", or "how does Z work", answer from here, don't guess.

Identity

MiMoCode (CLI binary mimo) is an agentic coding tool with a terminal UI, built as a fork of OpenCode. Beyond OpenCode's core (multi-provider, TUI, LSP, MCP, plugins) it adds: persistent memory, intelligent context management, subagent orchestration, goal-driven autonomous loops, compose-next end-to-end delivery, Dynamic Workflows, and self-improvement via dream/distill.

Feature Map

Read the whole SKILL.md on GitHub

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