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MiniMax Code Team Releases Open-Source Workflows and Skills Repository

· GlobeWire Daily Tech Desk · Source: github.com

2 min read

Key takeawaysThe MiniMax Code team has published an open-source repository detailing the daily workflows, skills, and engineering habits used in developing MiniMax Code. The release, hosted on GitHub under the MiniMax-AI/mcode-stack repository, provides runnable checklists and tools designed to integrate with AI coding assistants.
MCode Stack: the workflows and skills the MiniMax Code team uses to build MiniMax Code

Image: GitHub · Photo source · Resized and letterboxed to 16:9; no AI generation

The MiniMax Code team has published an open-source repository detailing the daily workflows, skills, and engineering habits used in developing MiniMax Code. The release, hosted on GitHub under the `MiniMax-AI/mcode-stack` repository, provides runnable checklists and tools designed to integrate with AI coding assistants.

According to the documentation, the project is not a theoretical collection of best practices but a practical set of resources used internally by the team. These include methods for maintaining code quality with AI, delegating tasks to subagents, managing long-running commands, and structuring context during sessions.

Available Stacks and Features

The repository organizes resources into several installable stacks, each containing specific plugins and skills formatted around the common `SKILL.md` standard:

  • Stacks/ronny: The baseline stack included in primary installation scripts.
  • Stacks/jiachen: Includes specialized tools such as `lifting-loops`, designed to automate manual steps performed alongside agents, and `making-content`, which transforms notes into structured image posts and short vertical video materials.
  • Stacks/req-tpm: An optional requirement-management stack that integrates with Feishu docs and Meegle (Feishu Project) to track product requirements, design decisions, and ship gates.
  • Stacks/youfang: Features `magic-move-deck`, a tool that generates offline HTML slide decks with animated transitions based on architecture walkthroughs.

Installation and Verification

Users can install the stacks through multiple methods depending on their setup:

  • Plugin Marketplace: MiniMax Code desktop users can add the marketplace by entering `MiniMax-AI/mcode-stack` under Plugins, though this feature is rolling out gradually and may not be available on all versions.
  • Script Installation: A repository clone provides installation scripts (`scripts/install.sh`) supporting targets like `ronny`, `jiachen`, `req-tpm`, and `youfang` when paired with compatible tools like Claude or Codex.
  • Manual Directory Placement: Individual skills can be placed directly into designated directories such as `.agents/skills/`, `.minimax/skills/`, or `.claude/skills/` for project-specific or global use.

Once installed, users can verify availability by opening a new session and typing `/skills` in MiniMax Code, or by managing local plugins through the Plugins panel using `Ctrl+R` to refresh.

Contribution Guidelines and Licensing

The repository is licensed under the MIT license, with certain engineering skills adapted from Google Engineering Practices under CC-BY 3.0 as noted in respective documentation. While public issues and discussions are welcome, pull requests for code and documentation are currently restricted to repository collaborators. Non-collaborators are advised to open an issue to discuss proposed changes first.

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Read the original source: The workflows and skills the MiniMax Code team uses to build MiniMax Code. Open source, install and use. - GitHub

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