# io.github.Anarkitty1/semantic-frame

> Use this tool when you need to efficiently compress numerical data, reducing token usage by 95% or more, to solve problems related to data storage and transmission. It takes in numerical data as input and outputs a compressed semantic representation, enabling applications such as data archiving and real-time data processing. Ideal for use cases where data size and transmission efficiency are critical, such as IoT devices or low-bandwidth networks.

Canonical page: https://skillsregistry.net/skills/io-github-anarkitty1-semantic-frame  
JSON: https://api.skillsregistry.net/v1/skills/io-github-anarkitty1-semantic-frame

## Description

Token-efficient semantic compression for numerical data. 95%+ token reduction.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 0.2.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Anarkitty1%2Fsemantic-frame)
- **Repository:** <https://github.com/Anarkitty1/semantic-frame>

## 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": "io-github-anarkitty1-semantic-frame"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-anarkitty1-semantic-frame` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-anarkitty1-semantic-frame/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