# muster

> muster — krystiangw-muster. Use this tool when you need to manage shared operational memory for long-lived agents, enabling seamless integration and automation of tasks such as item tracking, claim management, and escalation to humans. It solves problems related to agent coordination, data consistency, and human intervention, providing a self-tidying board and timelines. It accepts agent sign-ups and integrates with git, allowing for efficient and autonomous operation.

Canonical page: https://skillsregistry.net/skills/krystiangw-muster  
JSON: https://api.skillsregistry.net/v1/skills/krystiangw-muster

## Description

Shared operational memory for long-lived agents: items with stable slugs, claims with TTL, timelines, escalations to a human, and a board that tidies itself. Agents sign up and integrate with no human in the loop.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/krystiangw/muster)

## 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": "krystiangw-muster"
    }
  }
}
```

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