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superclaude-org/superclaude_framework

★ 22,844PythonAudience · developerComplexity · 2/5ActiveLicenseSetup · moderate

TLDR

A configuration layer that adds 30 slash commands and 20 agent personas to Claude Code, giving it structured workflows for planning, coding, testing, and deploying software projects.

Mindmap

mindmap
  root((SuperClaude))
    What it does
      30 slash commands
      20 agent personas
      Structured workflows
    How it works
      Instruction injection
      No new AI model
      Configuration files
    Use cases
      Code reviews
      Project planning
      Testing routines
    Tech stack
      Python
      Claude Code
      MCP servers
    Audience
      Daily Claude Code users
      Teams needing consistency

Things people build with this

USE CASE 1

Run structured code reviews with consistent feedback across your entire codebase using specialized agent personas.

USE CASE 2

Plan and organize software projects with standardized workflows that guide Claude Code from brainstorming through deployment.

USE CASE 3

Execute repeatable testing routines and quality checks without having to re-explain your testing strategy each time.

Tech stack

PythonClaude CodeMCP servers

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Claude Code environment setup and MCP server configuration to enable the slash commands and personas.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

SuperClaude Framework is a configuration add-on that sits on top of Claude Code, Anthropic's AI coding assistant, and gives it a set of 30 extra slash commands, 20 specialized agent personas, and structured workflows to follow during software development. Think of it as a plugin that teaches Claude Code to behave more consistently and systematically across a full project lifecycle, from brainstorming an idea through writing code, running tests, and deploying. The way it works is through "behavioral instruction injection", when you install it, a collection of configuration files and prompt instructions are loaded into Claude Code, telling the AI how to handle different kinds of tasks. There is no new AI model involved; it is purely a set of instructions and conventions layered on top of the existing Claude Code tool. Commands like /sc:research, /sc:implement, and /sc:test give you quick entry points to structured workflows. Optional integrations with other tools (called MCP servers) can make responses faster and use fewer tokens. You would use this if you are a developer who works with Claude Code daily and wants more predictable, structured behavior, consistent code reviews, standardized project planning, repeatable testing routines, rather than free-form conversation. It is not affiliated with or endorsed by Anthropic. The framework is written in Python and installable via pip.

Copy-paste prompts

Prompt 1
Install SuperClaude Framework and use /sc:research to have Claude Code systematically research a new feature before implementation.
Prompt 2
Set up a SuperClaude agent persona for code reviews and run /sc:review on a pull request to get consistent, structured feedback.
Prompt 3
Use /sc:implement with SuperClaude to follow a standardized workflow for writing and testing a new module in my project.
Prompt 4
Configure SuperClaude with MCP server integrations to speed up Claude Code responses while reducing token usage on my development tasks.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.