# Superpowers

> Workflow for brainstorming ideas, clarifying thoughts, refining requirements, and transforming vague concepts into structured execution plans.

- Skill: `anantsharma67/superpowers` (Agent Skill)
- Install (CLI): `npx skillmds@latest add anantsharma67/superpowers`
- Raw SKILL.md: https://api.skillmd.com/api/skills/anantsharma67/superpowers/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: anantsharma67 (https://skillmd.com/u/anantsharma67)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/anantsharma67/superpowers

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# Superpowers

## Overview

This skill enables Claude to help users think more clearly, structure ideas, and convert rough concepts into actionable plans.

It is designed for early-stage ideation, requirement gathering, and problem clarification.

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## Setup

Before using this skill:

1. Define the general topic or project
2. Collect any rough notes or existing thoughts
3. Identify:
   - goals
   - constraints
   - uncertainties

Optional tools:
- Markdown notes
- Whiteboards
- Project management tools
- Documentation systems

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## Inputs Required

- Rough ideas or project concepts
- Goals or intended outcomes
- Existing requirements (optional)

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## When to Use This Skill

- Brainstorming project ideas
- Clarifying vague concepts
- Generating structured requirements
- Planning workflows
- Organizing scattered thoughts

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## When NOT to Use

- Tasks with fully finalized requirements
- Highly repetitive execution workflows
- Pure implementation without planning

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## Example Use Case

> “Turn a rough startup idea into a structured product plan”

Claude should:

1. Ask clarifying questions
2. Identify missing information
3. Structure requirements
4. Define scope and constraints
5. Generate an actionable roadmap

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## Workflow

### 1. Idea Collection
- Gather rough concepts
- Identify goals and motivations
- Detect unclear assumptions

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### 2. Clarification
- Ask targeted follow-up questions
- Resolve ambiguities
- Refine terminology

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### 3. Structuring
Organize:
- requirements
- constraints
- priorities
- deliverables

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### 4. Planning
- Define execution phases
- Break large tasks into smaller tasks
- Identify dependencies

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### 5. Output Generation
Generate:
- requirement documents
- task breakdowns
- project summaries
- execution plans

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## Output Expectations

- Clear project definition
- Structured requirements
- Actionable task list
- Reduced ambiguity

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## Execution Strategy (for AI agents)

The agent should:

1. Detect ambiguity or incomplete ideas
2. Ask clarifying questions proactively
3. Transform vague inputs into structured outputs
4. Continuously refine understanding
5. Prioritize clarity and execution readiness

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## Best Practices

- Avoid making assumptions too early
- Clarify goals before proposing solutions
- Break complex ideas into manageable components
- Iterate collaboratively

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## Notes

- Good planning significantly reduces debugging and rework
- Structured requirements improve execution quality
- Clarity compounds over long projects