What Is the Superpowers Skill in Claude Code? A Complete Guide to Brainstorming, Writing-Plans, and Workflow Mastery

Mar 28, 2026

The Problem

When I started using Claude Code for serious development work, I kept hitting the same wall. Claude would generate code that worked, but it often missed the bigger picture.

I would ask for a feature. Claude would write code. Then I’d realize the implementation didn’t match what I actually needed. Back and forth. Wasted time. Frustration.

The issues were predictable:

Claude misunderstood my requirements
Code quality was inconsistent
Too many rework cycles
Implementation would veer off-track mid-task

I thought this was just how AI coding worked. Then I discovered the Superpowers skill.

What Is Superpowers?

Superpowers is a plugin for Claude Code developed by Jesse Vincent (obra). It provides structured workflows that address the common pain points of AI-assisted development.

The plugin gives you three main commands:

/superpowers:brainstorming - Interactive design refinement
/superpowers:writing-plans - Convert specs to actionable plans
/superpowers:execute-plan - Batch execution of plans

A Reddit user described it as their “workhorse” workflow:

/specification
       |
       v
/superpowers:brainstorming  (refine and clarify)
       |
       v
/superpowers:writing-plans   (convert spec to actionable plan)
       |
       v
implementation with subagents
       |
       v
/superpowers:execute-plan    (systematic execution)

This workflow ensures you understand what you’re building before writing any code.

Installation

I installed Superpowers through the Claude Code plugin marketplace:

# Add the marketplace
/plugin marketplace add obra/superpowers-marketplace

# Install the Superpowers plugin
/plugin install superpowers@superpowers-marketplace

# Verify installation
/help

After installation, I saw new commands available in my Claude Code session.

The Brainstorming Command

I started with /superpowers:brainstorming. This command is described as an “aggressive form of plan mode.”

When I ran it, Claude asked clarifying questions about my project:

What feature am I building?
What are the main requirements?
What constraints or dependencies exist?

The output is a specification document. Sometimes it creates a dedicated worktree for focused development.

When to use: Before any significant feature or project. Use it to clarify what you’re building before touching code.

The Writing-Plans Command

After brainstorming produced a spec, I used /superpowers:writing-plans to convert it into an implementation plan.

What impressed me was the granularity. Each task in a writing-plan is a 2-5 minute action:

| WRONG (Too Vague)              | RIGHT (Bite-sized)                              |
|--------------------------------|-------------------------------------------------|
| "Add validation"               | "Write validation function validate_email() in |
|                                | src/utils/validators.py"                        |
|--------------------------------|-------------------------------------------------|
| "Fix the tests"                | "Run pytest tests/auth/ and confirm all 3 tests |
|                                | pass"                                           |
|--------------------------------|-------------------------------------------------|
| "Update the config"            | "Add AUTH_SECRET_KEY to config/settings.py with|
|                                | value from env.AUTH_SECRET_KEY"                  |

The plan includes:

Complete code (not vague descriptions)
Exact file paths
Precise commands with expected outputs
Skill references using @syntax

When to use: After brainstorming, when you have a specification. Use before touching any code.

Output: A plan document saved to docs/plans/YYYY-MM-DD-<feature-name>.md.

A Real Workflow Example

I used this workflow for a user authentication feature. Here’s what happened:

Me: /superpowers:brainstorming

Claude: What feature are you working on?
Me: User authentication with email/password

Claude: What are the main requirements?
Me: Login, logout, password reset, session management

Claude: What constraints or dependencies exist?
Me: PostgreSQL database, existing user model, 2FA in future

Claude generated a specification document with all requirements captured.

Then I converted it to a plan:

/superpowers:writing-plans
# Output: docs/plans/2026-03-28-user-authentication.md

The plan document looked like this:

# [User Authentication] Implementation Plan

## Phase 1: Test Setup
1. Create test file: tests/auth/test_login.py
2. Write failing test for login validation
3. Run test: pytest tests/auth/test_login.py - expect failure

## Phase 2: Implementation
4. Create model file: src/models/user.py
5. Add authentication method with full code:
   def authenticate(email: str, password: str) -> User | None:
       # [Complete implementation code here]
6. Run tests - expect pass
7. Commit: "Add user authentication core logic"

Each step was actionable. No guessing what “add validation” means.

The Execute-Plan Command

The final step is /superpowers:execute-plan. This command runs through your plan systematically, ensuring each step completes before moving to the next.

I found this useful for complex features where I wanted to maintain momentum without losing track of progress.

Key Principles Enforced

Superpowers enforces software engineering best practices automatically:

DRY (Don’t Repeat Yourself): Avoid code duplication
YAGNI (You Aren’t Gonna Need It): Don’t implement unused features
TDD (Test-Driven Development): Write tests first
Frequent commits: Small, meaningful commits

These aren’t just guidelines. The workflows push you toward these patterns.

Why This Matters

Before Superpowers, my AI coding sessions were reactive. I’d ask for code, get code, fix issues, repeat.

With Superpowers, my sessions are proactive. I plan first, then execute. The result is:

Fewer misunderstandings about requirements
More consistent code quality
Less rework
Better documentation of what was built

The Reddit commenter who called this their “workhorse” workflow was right. It transforms Claude Code from a code generator into a structured development environment.

Common Mistakes I Made

1. Skipping brainstorming

I tried jumping straight to writing-plans. The plan was vague because I hadn’t clarified requirements. Always brainstorm first.

2. Ignoring the bite-sized principle

I wrote tasks like “implement authentication” instead of breaking them down. The plan became useless because steps were too large to verify.

3. Not committing the plans

The plan documents are valuable. They document what you intended to build. Commit them to version control.

4. Trying to plan everything at once

For large projects, I learned to plan one phase at a time. Plan phase 1, implement, test, then plan phase 2.

Summary

Superpowers provides the missing “process framework” for AI-assisted development. The recommended workflow is:

Start with brainstorming to clarify requirements
Use writing-plans to create actionable implementation steps
Execute with systematic batch processing

This approach aligns with traditional software engineering best practices while leveraging AI’s efficiency. For developers using Claude Code regularly, Superpowers makes AI-generated code more maintainable, testable, and aligned with project requirements.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!