# Product Think

> Shape a feature or problem before implementation. Use this when the request is still fuzzy, when several solutions are possible, or when execution risks outrunning product clarity.

- **Type:** Skill
- **Install:** `agentstack add skill-stella-skillguard-product-think`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [stella](https://agentstack.voostack.com/s/stella)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [stella](https://github.com/stella)
- **Source:** https://github.com/stella/skillguard/tree/main/.agents/skills/product-think
- **Website:** https://stll.app

## Install

```sh
agentstack add skill-stella-skillguard-product-think
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Product Think

Shape a feature or problem before implementation. Use this when the
request is still fuzzy, when several solutions are possible, or when
execution risks outrunning product clarity.

## Arguments

$ARGUMENTS — Feature idea, problem statement, or change request.

## Instructions

1. **Clarify the problem first**:
   - who is affected?
   - what pain or friction exists today?
   - why does it matter now?

2. **Separate problem from solution**:
   - write down the user need
   - write down the proposed solution
   - check whether the solution actually addresses the need

3. **Define outcome, not just output**:
   - what should be better if this works?
   - what user or business behavior should change?

4. **State constraints**:
   - technical constraints
   - organizational constraints
   - compliance or trust constraints
   - timeline constraints

5. **Explore options**:
   - simplest viable option
   - stronger but more expensive option
   - what not to build yet

6. **Make tradeoffs explicit**:
   - speed vs correctness
   - breadth vs depth
   - automation vs control
   - flexibility vs clarity

7. **Define scope**:
   - in scope
   - out of scope
   - follow-up ideas that should not block the first version

8. **Define success**:
   - what would we measure?
   - what would we observe qualitatively?
   - what would count as failure?

9. **Produce a short product brief** in prose or markdown, with:
   - problem
   - user
   - goal
   - options considered
   - recommendation
   - risks
   - success signal

10. **Only move to implementation planning after this is coherent**.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [stella](https://github.com/stella)
- **Source:** [stella/skillguard](https://github.com/stella/skillguard)
- **License:** Apache-2.0
- **Homepage:** https://stll.app

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-stella-skillguard-product-think
- Seller: https://agentstack.voostack.com/s/stella
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.