# bytepack

> bytepack — sertolicellselectorswitch13-bytepack. Use this tool when you need to efficiently encode structured data for AI agent communication, solving problems of variable message sizes and high overhead. It takes in structured data as input and outputs fixed-size 2,556-byte binary messages, providing a stable and low-overhead solution. Ideal for use cases requiring reliable and compact data exchange between AI agents.

Canonical page: https://skillsregistry.net/skills/sertolicellselectorswitch13-bytepack  
JSON: https://api.skillsregistry.net/v1/skills/sertolicellselectorswitch13-bytepack

## Description

Encode structured data into fixed-size 2,556-byte binary messages for AI agent communication, with stable size and low overhead

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/sertolicellselectorswitch13/bytepack)

## 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": "sertolicellselectorswitch13-bytepack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sertolicellselectorswitch13-bytepack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sertolicellselectorswitch13-bytepack/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