# yats.ai

> yats.ai — fvinciarelli-yats-ai. Use this tool when you need to optimize AI coding agents' performance by reducing code-reading tokens. YATS.ai solves the problem of inefficient code processing, supporting popular agents like Codex, Claude, and Copilot, and integrates with git for seamless workflow. It takes in code inputs and outputs optimized tokens, making it ideal for use cases where faster coding and development are crucial.

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

## Description

YATS — Knowledge graph for AI coding agents. Cut code-reading tokens by 37–73%. Works with Codex, Claude, Copilot, Cursor & Gemini.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/fvinciarelli/yats.ai)

## 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": "fvinciarelli-yats-ai"
    }
  }
}
```

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