# ccpkg

> Use this tool when you need to create and distribute AI coding assistant extensions across multiple compatible tools. The ccpkg format solves the problem of fragmented installations by packaging skills, agents, MCP servers, and hooks into a single archive. It accepts git repositories as input and produces a unified package for seamless installation and integration.

Canonical page: https://skillsregistry.net/skills/zircote-ccpkg  
JSON: https://api.skillsregistry.net/v1/skills/zircote-ccpkg

## Description

Open packaging format for AI coding assistant extensions -- one archive installs skills, agents, MCP servers, and hooks across any compatible tool.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [GitHub](https://github.com/zircote/ccpkg)

## 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": "zircote-ccpkg"
    }
  }
}
```

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