⚡ Modular prompt-engineering framework for AI Agents (Cursor, Claude Code, Copilot). Forces structured SDLC, linear execution, context isolation, and systematic debugging via a standalone Windows launcher. Stop vibe coding, start agentic discipline! 🚀
# Add to your Claude Code skills
git clone https://github.com/RectangleStory/Superpowers_Multi_AIGuides for using ai agents skills like Superpowers_Multi_AI.
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Superpowers_Multi_AI is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by RectangleStory. ⚡ Modular prompt-engineering framework for AI Agents (Cursor, Claude Code, Copilot). Forces structured SDLC, linear execution, context isolation, and systematic debugging via a standalone Windows launcher. Stop vibe coding, start agentic discipline! 🚀. It has 100 GitHub stars.
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Clone the repository with "git clone https://github.com/RectangleStory/Superpowers_Multi_AI" and add it to your Claude Code skills directory (see the Installation section above).
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License: BSD 3-Clause License
Stop "vibe coding" and shifting your AI into chaotic, hallucinating loops. Superpowers AI is a production-grade, modular, high-discipline framework designed to transform vanilla LLMs (Claude Code, Cursor, GitHub Copilot) into methodical, context-aware Senior Engineers. By injecting deterministic behavioral gates, this framework forces AIs to plan, isolate, and debug systematically before writing a single line of production code.
Get the complete standalone production package, including the automated standalone GUI/CLI execution launcher and pre-configured core skill modules instantly.
Superpowers.zip archive and extract its contents directly into the root directory of your active development project.run_launcher.exe file inside your project environment..cursorrules)..ai-skills.md).skills/ folder into a unified system prompt matrix. Your AI agent reads this state instantly on the next interaction.The framework replaces standard conversational interfaces with a structured Software Development Life Cycle (SDLC) pipeline. Instead of generating immediate, unverified code chunks, the AI agent passes through rigorous quality validation gates:
[ User Prompt / Feature Request ]
│
▼
┌──────────────────────────────┐
│ 01_brainstorming.md │ -> GATE 1: Architecture Freeze
│ (Socratic Dialogue & Q&A) │ Requires explicit approval
└──────────────┬───────────────┘
│ Approved
▼
┌──────────────────────────────┐
│ 02_writing_plans.md │ -> GATE 2: Micro-Jira Checklist
│ (Atomic Steps & Tests) │ Linear task commitment
└──────────────┬───────────────┘
│ Approved step-by-step
▼
┌──────────────────────────────┐
│ 03_subagents.md │ -> CONTEXT ISOLATION
│ (Sandbox Worker Spawning) │ Prevents token-bloat loops
└──────────────┬───────────────┘
│ Build Failure / Test Regressions
▼
┌──────────────────────────────┐
│ 04_debugging.md │ -> ROOT CAUSE ANALYSIS
│ (Strict 4-Phase Protocol) │ No guess-and-check patches
Every module within the skills/ directory is written in an absolute, highly imperative prose style optimized for state-of-the-art Large Language Models.
Module 01 (01_brainstorming.md)
Module 02 (02_writing_plans.md)
Module 03 (03_subagents.md)
Module 04 (04_debugging.md)
Once you unpack Superpowers.zip, your local project structure will mirror the following design:
your-project-workspace/
│
├── run_launcher.exe # Native automation launcher for target profiling
├── README.md # Extensive developer documentation (This file)
│
└── skills/ # The Modular Behavioral Skill Repository
├── 01_brainstorming.md # Architectural discovery phase and query parameters
├── 02_writing_plans.md # Granular atomic step planning and verification mapping
├── 03_subagents.md # Worker node lifecycle orchestration and sandboxing
└── 04_debugging.md # Post-mortem analysis and Root Cause Investigation
Superpowers AI scales natively across the most prominent agentic coding layers by mutating into their standard structural settings:
.cursorrules configuration file that forces the Composer and Chat features into structured execution modes..ai-skills.md / CLAUDE.md metadata injection rules..github/copilot-instructions.md configuration nodes.A: This is by design. Module 01_brainstorming intentionally blocks code generation until you define the underlying structural constraints. This eliminates 90% of architectural re-writes down the line.
A: Yes. If you need a fast, raw answer or script without formal process checks, use the global override system keyword anywhere in your prompt: FORCE_RAW_MODE.
A: Absolutely not. run_launcher.exe is a lightweight, compiled standalone utility that runs locally to concatenate configuration schemas. It does not network or transfer any telemetry data outside your environment.
This project is licensed under the BSD 3-Clause License - see below for details:
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.