# fmtly

> fmtly — oguzhankir-fmtly. Use this tool when you need to efficiently format, validate, and optimize data for large language models (LLMs) without relying on servers or compromising data privacy. It solves problems related to data preparation and security for AI contexts, providing a local-first solution with zero data leakage. With git capabilities, it integrates seamlessly into development workflows, accepting raw data as input and outputting optimized, validated data for LLMs.

Canonical page: https://skillsregistry.net/skills/oguzhankir-fmtly  
JSON: https://api.skillsregistry.net/v1/skills/oguzhankir-fmtly

## Description

The high-performance, local-first data engine for developers and AI agents. Format, validate, and optimize data for LLM contexts without ever leaving your browser. Zero-server. Zero-leak.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/oguzhankir/fmtly)

## 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": "oguzhankir-fmtly"
    }
  }
}
```

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