# ai.getthroughline/throughline

> Use this tool when you need to create a consistent and persistent AI persona that can be integrated across various platforms, solving problems of fragmented AI interactions and inconsistent user experiences. It takes in user inputs and outputs a unified AI self, enabling seamless transitions between different AI hosts. This tool is ideal for use cases where continuity and coherence of AI interactions are crucial, such as virtual assistants or chatbots.

Canonical page: https://skillsregistry.net/skills/ai-getthroughline-throughline  
JSON: https://api.skillsregistry.net/v1/skills/ai-getthroughline-throughline

## Description

A persistent AI self you own — memory, persona, judgment — portable across all your AI hosts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.getthroughline%2Fthroughline)

## Use it

MCP endpoint published by the skill: `https://getthroughline.ai/mcp`

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": "ai-getthroughline-throughline"
    }
  }
}
```

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