# claude-parley

> claude-parley — mischasigtermans-claude-parley. Use this tool when you need to leverage collective knowledge across projects, enabling peer agents to share information and context seamlessly. It solves problems of knowledge silos and context switching by allowing agents to ask and learn from each other across sessions. With inputs of project-specific queries and outputs of relevant knowledge and insights, use claude-parley in contexts where inter-project collaboration and memory are crucial.

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

## Description

Talk to your other Claude Code projects from any session.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/mischasigtermans/claude-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": "mischasigtermans-claude-parley"
    }
  }
}
```

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