# Great Arrow

> Great Arrow — ai-greatarrow-great-arrow. Use this tool when you need to synchronize actions and share memory across multiple AI clients, such as Claude, Kiro, and OpenAI. The Great Arrow enables seamless interaction between MCP-compatible AI agents, solving problems of disjointed knowledge and actions. It accepts shared memory inputs and outputs synchronized actions, ideal for use cases requiring coordinated AI decision-making and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/ai-greatarrow-great-arrow  
JSON: https://api.skillsregistry.net/v1/skills/ai-greatarrow-great-arrow

## Description

Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.

## 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
- **Updated:** 2026-09-04

## Source

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

## Use it

MCP endpoint published by the skill: `https://www.greatarrow.ai/api/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-greatarrow-great-arrow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-greatarrow-great-arrow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-greatarrow-great-arrow/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
