# cityhive

> cityhive — sergeyklay-cityhive. Use this tool when you need to manage urban beehives efficiently, as it provides a scalable and asynchronous microservice for tracking and monitoring beehive data. Cityhive solves problems related to data organization, geospatial analysis, and real-time updates, accepting inputs such as hive locations and health metrics, and outputting insights and alerts. It is ideal for use in urban beekeeping operations, research institutions, and environmental monitoring systems.

Canonical page: https://skillsregistry.net/skills/sergeyklay-cityhive  
JSON: https://api.skillsregistry.net/v1/skills/sergeyklay-cityhive

## Description

Async Python microservice for urban beehive management — aiohttp, SQLAlchemy + PostGIS, asyncpg, Docker Compose, clean architecture, CI/CD

## Trust

- **Trust score (0–1):** 0.44
- **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/sergeyklay/cityhive)

## 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": "sergeyklay-cityhive"
    }
  }
}
```

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