# ProductNow

> Use this tool when you need to streamline product development by converting prototype feedback into actionable decisions. ProductNow solves the problem of disjointed feedback and unclear product roadmaps by providing a traceable and collaborative platform. It takes in prototype feedback as input and outputs informed product decisions, making it ideal for use during the product development and testing phases.

Canonical page: https://skillsregistry.net/skills/ai-productnow-productnow  
JSON: https://api.skillsregistry.net/v1/skills/ai-productnow-productnow

## Description

Turn prototype feedback into product decisions that your whole team can trace.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.productnow%2Fproductnow)
- **Repository:** <https://github.com/ProductNowAI/productnow-mcp>

## Use it

MCP endpoint published by the skill: `https://api.productnow-prod.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-productnow-productnow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-productnow-productnow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-productnow-productnow/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt