Molcajete.ai

Molcajete.ai

Consistent, opinionated workflows for Claude Code. No AI multiple-personality disorder.

You know when you start using AI for your daily workflows, one day you get the right personality out of AI, other days you feel like it's the dumbest model in the world. What Molcajete.ai brings is the right setup for Claude Code — well-curated flows and consistent output. A curated marketplace of plugins that grind through complexity and blend workflows into smooth, production-ready solutions. Just opinionated commands and skills that get the job done, the way I like things done.

What is Molcajete.ai?

Molcajete.ai is a Claude Code plugin marketplace. It ships two plugins:

• m — The core plugin. Generic, stack-aware commands covering the full development lifecycle, backed by a library of 18 reusable skills.
• legacy — A migration helper for moving files from the old v1 .molcajete/ format into the current m plugin format.

Installation

Prerequisites

• Claude Code installed

Quick Install

/plugin marketplace add MolcajeteAI/plugin

Alternative: settings.json

For persistent configuration across sessions, add to .claude/settings.json:

{
  "extraKnownMarketplaces": {
    "molcajete": {
      "source": {
        "source": "github",
        "repo": "MolcajeteAI/plugin"
      }
    }
  }
}

Verify

/plugin marketplace list

You should see molcajete in the list. Both plugins are enabled by default:

{
  "enabledPlugins": {
    "m@molcajete": true
  }
}

---

The m Plugin

The m plugin is the core of Molcajete.ai. Every command is a structured prompt that reads relevant skills, follows established conventions, and delegates complex sub-tasks to specialized agents.

Commands

Command	Description
/m:init	Initialize a new project with mission, tech stack, roadmap, and changelog
/m:feature	Scope a new feature into structured requirements
/m:refactor	Research a refactoring/replacement, produce impact analysis and requirements
/m:spec	Create a technical specification for a feature or refactor
/m:tasks	Break a specification into sequenced implementation tasks
/m:dev	Implement a task from the task plan
/m:fix	Diagnose and fix a bug or failed implementation
/m:test	Write, run, or analyze tests for code
/m:review	Code review on staged or recent changes
/m:doc	Generate or update documentation for a file or directory
/m:explain	Explain a topic in a clear, friendly 3-5 minute read
/m:research	Deep research with tech stack context, parallel agents, and long-form output
/m:copy	Rewrite text or file content with clear structure and good copy
/m:prompt	Write a well-structured LLM prompt from a rough description
/m:debug	Guided debugging workflow with hypothesis testing
/m:commit	Create a well-formatted commit from staged changes
/m:amend	Amend the last commit with staged changes
/m:rebase	Interactive rebase helper

Natural Language Triggers

Some skills activate automatically based on what you say — no slash command needed. The research-methods skill is the first to support this:

What you say	What runs	Output
"What is a CLOB?"	Quick answer	Inline response, no agents
"Explain how OAuth works"	Explain flow (2 agents)	3-5 minute Introduction, save prompt
"Research sharding for our Postgres"	Deep research (4 agents)	Full Learning Guide, save prompt

The /m:explain and /m:research commands are shortcuts that skip classification and go straight to their respective depth.

Skills

Skills are reusable knowledge documents loaded by commands at runtime. Each skill encodes conventions, patterns, and standards for a specific domain.