What hardware does the GNU Radio skill support?

It supports a wide range of SDR devices including RTL-SDR, HackRF, USRP, PlutoSDR, and LimeSDR via standard driver interfaces like SoapySDR.

How does it handle GF(3) trit logic?

The skill includes specialized templates for tagging signals with spatial trits (PLUS, ERGODIC, MINUS) to ensure mathematical conservation throughout the flowgraph.

Can this skill be used for real-time audio output?

Absolutely. It includes patterns for bridging GNU Radio demodulators to system audio sinks or streaming audio to external players like MPD via FIFOs.

Can I create custom blocks with this skill?

Yes, the skill provides specific implementation patterns for creating both hierarchical sub-flowgraphs and embedded Python blocks for custom signal processing.

Is GNU Radio 4.0 supported?

Yes, the skill includes guidance for the next-generation GR4 architecture, including C++20 concepts and reflection-based block definitions.

GNU Radio SDR & Signal Processing

Name: GNU Radio SDR & Signal Processing
Author: plurigrid

byplurigrid

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データサイエンスとML

Builds and manages complex signal processing flowgraphs and custom Python blocks for Software Defined Radio (SDR) applications.

This skill integrates the GNU Radio toolkit into the Claude environment, enabling developers to design, implement, and debug sophisticated signal processing chains. It facilitates the creation of visual flowgraphs, modular DSP components, and embedded Python blocks for specialized RF tasks. By leveraging GF(3) trit-based conservation logic and supporting a wide array of hardware like RTL-SDR and HackRF, this skill provides the domain-specific guidance needed to bridge software-defined radio with advanced signal analysis and automated workflows.

主な機能

018 GitHub stars

02Implement GF(3) trit-based signal tagging and conservation logic

03Design modular signal processing flowgraphs using standard GNU Radio blocks

04Integrate with hardware SDR devices including RTL-SDR, HackRF, and USRP

05Develop and debug custom embedded Python blocks for specialized DSP tasks

06Support for GNU Radio 4.0 architecture and C++20 reflection-based definitions

ユースケース

01Prototyping custom communication protocols using Python-embedded DSP components

02Automating RF signal analysis and metadata tagging for data science pipelines

03Building real-time FM radio receivers or spectrum analyzers with WebSocket output

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi gnu-radio

For use in Claude.ai and ChatGPT

Download Skill