xhyqaq
19
0
89% credibility
Found Apr 01, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Superpowers Plus is an enhanced set of workflows and skills for AI coding agents that guide the process from brainstorming and planning through execution, testing, and verification.

How It Works

1
💡 Discover Superpowers Plus

You hear about this handy toolkit that makes your AI coding helper follow smart steps for building software.

2
🛠️ Add it to your AI tool

You follow easy instructions to set it up in your favorite AI coding assistant, like Claude or similar.

3
Superpowers activate

Now your AI buddy has new abilities that kick in automatically whenever you start a coding project.

4
🗣️ Share your idea

You describe what you want to build or fix, and the AI starts chatting to clarify your vision.

5
📋 Review the plan

The AI creates a simple, bite-sized plan with steps, shows it to you in easy chunks, and waits for your thumbs up.

6
🚀 Let it build

Once approved, the AI rolls up its sleeves, builds the code, runs tests, debugs issues, and keeps everything on track.

🎉 Enjoy your results

You end up with clean, working code that's fully tested, documented, and ready to use in your project.

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Star Growth

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AI-Generated Review

What is superpowers-plus?

Superpowers-plus is a Shell-based skill pack that supercharges coding agents like Claude Code, Codex, OpenCode, and Gemini CLI with structured workflows for building software. It guides agents through brainstorming designs, writing granular plans, executing tasks via parallel or serial subagents, and verifying with strict TDD—all triggered automatically without manual prompts. Developers get reliable, autonomous code generation that enforces red-green-refactor cycles, git worktrees, and systematic debugging, solving the chaos of unstructured AI coding sessions.

Why is it gaining traction?

Unlike basic prompts or upstream superpowers, superpowers-plus unifies execution into a single controller that auto-routes tasks, skips redundant reviews, and commits every TDD cycle for an audit trail. Users notice agents running hands-off for hours on complex features, with built-in docs for specs, plans, and reusable assets. The plug-and-play installs via git clone or CLI commands hook devs tired of babysitting AI outputs.

Who should use this?

AI-assisted developers crafting backend services or full apps in Claude Code or OpenCode, especially those enforcing TDD on teams. Backend engineers debugging flaky tests or planning multi-file changes will appreciate the systematic flows. Solo devs prototyping features without derailing into YAGNI violations.

Verdict

Grab superpowers-plus if you're deep in agentic coding—its 0.9% credibility score and 19 stars signal early days with thin tests, but solid docs and MIT license make it low-risk to clone and try. Update via git pull for quick wins over raw prompts.

(187 words)

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