position-product

Define product positioning and brand strategy

9 stars

Best use case

position-product is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Define product positioning and brand strategy

Teams using position-product should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/position-product/SKILL.md --create-dirs "https://raw.githubusercontent.com/jpoutrin/product-forge/main/plugins/product-design/skills/position-product/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/position-product/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How position-product Compares

Feature / Agentposition-productStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Define product positioning and brand strategy

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# position-product

**Category**: Product & Strategy

## Usage

```bash
position-product
```

## Interactive Mode

This command runs an interactive discovery session. Claude Code will:
1. Read the source file
2. Extract discovery questions
3. Guide you through the questions
4. Save results for future reference

## Execution Instructions for Claude Code

When this command is run, Claude Code should:

1. Read the source file at `claude_settings/python/processes/product-positioning.md`
2. Extract all discovery questions from the markdown
3. Run an interactive Q&A session with the user
4. Save the answers to `discovery-results/{command}-{timestamp}.json`
5. Use the answers to guide the implementation

## Source Content Location

The full process documentation can be found at:
`claude_settings/python/processes/product-positioning.md`

Claude Code should read this file and follow the documented process exactly.

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