# ChirpPipe

> ChirpPipe — igorskh-chirppipe. Use this tool when you need to process and analyze nature observation data, such as images and bioacoustic recordings, to gain insights into wildlife behavior and patterns. ChirpPipe solves problems related to data processing, filtering, and analysis, providing outputs in a usable format for further research. It takes in raw data files, including images and audio recordings, and outputs processed data, making it ideal for researchers and scientists working with environmental and biological data.

Canonical page: https://skillsregistry.net/skills/igorskh-chirppipe  
JSON: https://api.skillsregistry.net/v1/skills/igorskh-chirppipe

## Description

Python utilities for nature observations processing - images and bioacoustics. Including MCP.

## Trust

- **Trust score (0–1):** 0.41
- **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/igorskh/ChirpPipe)

## 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": "igorskh-chirppipe"
    }
  }
}
```

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