# DecimalAI Skills Registry

> DecimalAI Skills Registry — ai-decimal-registry. Use this tool when you need to discover and evaluate AI agent skills, ranked by their measured performance lift and safety. It solves problems of skill discovery, evaluation, and comparison, providing a reliable interface for inputting specific requirements and outputting ranked skill recommendations. Ideal for use cases where optimizing AI agent performance and ensuring safety are critical, such as in high-stakes decision-making or complex task automation.

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

## Description

Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

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

## 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": "ai-decimal-registry"
    }
  }
}
```

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