# ai.quantifyme/quantifyme

> Use this tool when you need to translate plain English trading strategies into live signal models, streamlining the deployment process without requiring signup. It solves the problem of manually converting trading ideas into actionable models, saving time and effort. The tool takes a trading strategy description as input and outputs a live signal model, making it ideal for traders and investors seeking to quickly test and implement their ideas.

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

## Description

Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.quantifyme%2Fquantifyme)

## Use it

MCP endpoint published by the skill: `https://mcp.quantifyme.ai/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-quantifyme-quantifyme"
    }
  }
}
```

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