# succubus

> succubus — enowdev-succubus. Use this tool when you need to coordinate multiple AI coding agents in a single repository, enabling them to share plans, tasks, and file claims through a unified database and daemon. It solves the problem of agent isolation, allowing for seamless collaboration and version control via git. Ideal for use cases requiring cross-agent awareness and cooperation, such as large-scale code development and maintenance projects.

Canonical page: https://skillsregistry.net/skills/enowdev-succubus  
JSON: https://api.skillsregistry.net/v1/skills/enowdev-succubus

## Description

Cross-agent coordination for AI coding agents. One daemon, one database — so multiple agents in one repo can see each other's plan, tasks, and file claims.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/enowdev/succubus)

## 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": "enowdev-succubus"
    }
  }
}
```

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