# parley

> Use this tool when you need to manage and recover coordination state in multi-agent systems, solving problems of data inconsistency and system failures in distributed environments. Parley provides durable state management, ensuring that agents can recover and resume work seamlessly. It is particularly useful in complex workflows where multiple agents interact and rely on shared state to complete tasks.

Canonical page: https://skillsregistry.net/skills/parley  
JSON: https://api.skillsregistry.net/v1/skills/parley

## Description

Durable coordination state and recovery for multi-agent OpenClaw work.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-26

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-08-26

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/plugins/@nkuhanas/parley)

## 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": "parley"
    }
  }
}
```

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

---
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