# passoff

> Use this tool when you need to seamlessly transfer context between AI coding agents, enabling efficient collaboration and continuity. It solves the problem of lost context and provenance during handoffs, providing a reliable and transparent interface for inputs like code snippets and outputs like executed code. Ideal for use cases where multiple AI agents are involved in coding tasks, such as large-scale software development or complex coding projects.

Canonical page: https://skillsregistry.net/skills/themrgu-passoff  
JSON: https://api.skillsregistry.net/v1/skills/themrgu-passoff

## Description

Enables handoff of context between AI coding agents like Claude Code, Cursor, Codex, and Windsurf with built-in provenance tracking.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqlhreef75)
- **Repository:** <https://github.com/TheMrGU/Ai-Agent-Context-Passoff>

## 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": "themrgu-passoff"
    }
  }
}
```

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