# birdnet

> birdnet — rappo-birdnet. Use this tool when you need to identify bird species from audio recordings or detect bird presence in a given area. BirdNET provides automated bird detections, solving problems such as species identification and bird population monitoring. It takes audio files or recordings as input and outputs detected bird species, ideal for use in wildlife research, conservation, or birdwatching applications.

Canonical page: https://skillsregistry.net/skills/rappo-birdnet  
JSON: https://api.skillsregistry.net/v1/skills/rappo-birdnet

## Description

Query BirdNET-Go bird detections.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rappo-birdnet)

## 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": "rappo-birdnet"
    }
  }
}
```

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