# decisionsmith

> decisionsmith — izam-mohammed-decisionsmith. Use this tool when you need to leverage System One models, such as Jev and Laya, for decision-making tasks, and fine-tune them with your own data, guided by a large language model (LLM) as the teacher, to generate accurate predictions and informed decisions. It solves problems related to data-driven decision-making, model customization, and predictive analytics. The tool accepts your data as input and outputs fine-tuned models and predictions, making it ideal for applications where data-informed decisions are crucial.

Canonical page: https://skillsregistry.net/skills/izam-mohammed-decisionsmith  
JSON: https://api.skillsregistry.net/v1/skills/izam-mohammed-decisionsmith

## Description

Use and fine-tune System One models (Jev, Laya) on your data, with an LLM as the teacher.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/izam-mohammed/decisionsmith)

## Use it

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": "izam-mohammed-decisionsmith"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/izam-mohammed-decisionsmith` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/izam-mohammed-decisionsmith/pull`

---
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