How do I install the Mlx Adopt skill?

Run npx skillmds@latest add cavi-ai/mlx-adopt-2 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.

What does the Mlx Adopt skill do?

Verify and recommend an MLX model for a requested role. It is listed under AI & ML on SkillMD.

Is Mlx Adopt safe to use?

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

Which AI agents work with Mlx Adopt?

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 Mlx Adopt free to use?

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

Who published Mlx Adopt?

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

Mlx Adopt by cavi-ai — Agent Skill

Name: Mlx Adopt
Author: cavi-ai

File contents

Use $mlx-agent:mlx-adopt to invoke this installed Codex skill explicitly. Codex does not support custom /mlx-* slash commands.

MLX Adopt

Resolve <skill-dir> as the absolute directory containing this SKILL.md. Never resolve the bundled executable from the shell working directory.

canonical capability ID: mlx-agent.adopt

Use the durable adoption state owned by the structured CLI. Start with a user-visible state path and requested roles:

python3 <skill-dir>/scripts/mlx-agent adopt start --state <state-path> --role <role> --json

If the state already exists or an earlier run was interrupted, continue it with:

python3 <skill-dir>/scripts/mlx-agent adopt resume --state <state-path> --json

Report the CLI state and recommendations. Do not recreate adoption policy in this adapter. This operation must not download model weights or change configuration; any later download or mutation requires explicit user confirmation and the reviewed CLI preview.

Tool-use is canonical; agentic is descriptive only. Models verified to invoke supplied tools with schema-valid arguments. Tool-use membership is additional, so a model may retain its primary role. Its recommendation minimum is verified: metadata is not verification, and recommendation requires verified evidence from a schema-valid synthetic runtime tool call. Manifest safety says automatic model downloads are disabled; verification must not pull, install, or download models. Report unsupported runtimes explicitly. If none is verified, recommend none; never use a fallback.

Frequently asked questions

Mlx Adopt