# WRAI.TH

> WRAI.TH — tsukumohq-wrai-th. Use this tool when you need to orchestrate multiple agents and manage complex interactions between them. WRAI.TH solves problems of inter-agent communication, goal management, and resource allocation, providing a streamlined solution for multi-agent systems. It takes in agent configurations and goals as input, and outputs optimized agent behaviors, making it ideal for use cases requiring efficient coordination and decision-making.

Canonical page: https://skillsregistry.net/skills/tsukumohq-wrai-th  
JSON: https://api.skillsregistry.net/v1/skills/tsukumohq-wrai-th

## Description

Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-29

## Source

- **Source listing:** [GitHub](https://github.com/TsukumoHQ/WRAI.TH)

## 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": "tsukumohq-wrai-th"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tsukumohq-wrai-th` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tsukumohq-wrai-th/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