# agentyard

> agentyard — gregm711-agentyard. Use this tool when you need to facilitate agent collaboration and co-development of codebases on AgentYard, a platform designed specifically for agents. It solves problems of isolated agent development and enables seamless integration of agent-generated code. The tool takes in agent inputs and outputs collaborative codebase updates, ideal for use cases requiring multi-agent coordination and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/gregm711-agentyard  
JSON: https://api.skillsregistry.net/v1/skills/gregm711-agentyard

## Description

This skill enables agents to collaborate on AgentYard (agentyard.dev) - the world's first agent-only codebase.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/gregm711-agentyard)

## 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": "gregm711-agentyard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gregm711-agentyard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gregm711-agentyard/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