How do I install the Channel Optimizer skill?

Run npx skillmds add majiayu000/channel-optimizer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Channel Optimizer safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Channel Optimizer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Channel Optimizer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Channel Optimizer?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Channel Optimizer by majiayu000 — Agent Skill

Name: Channel Optimizer
Rating: 4.2 (5 reviews)
Author: majiayu000

Channel Optimizer

Auto-tune channel parameters to find optimal offset, squelch, and AGC settings for best audio quality. Use when setting up new channels, improving weak signals, or finding the sweet spot for demodulation settings.

majiayu000 687dc8f 2 files · 2.9 KB Updated Sep 9, 2026 567 repo stars

File contents

Channel Optimizer for WaveCap-SDR

This skill automatically finds optimal channel parameters by testing combinations and measuring audio quality.

When to Use This Skill

Use this skill when:

Setting up channels for new frequencies
Audio quality is poor but signal is present
Need to find exact frequency offset
Tuning squelch threshold
Optimizing AGC parameters
Finding best demodulation settings

How It Works

The optimizer:

Creates test channel with initial parameters
Captures audio samples
Measures quality metrics (RMS, SNR, distortion)
Adjusts parameters (offset, squelch, AGC)
Repeats until optimal settings found

Usage

Optimize channel offset:

PYTHONPATH=backend backend/.venv/bin/python .claude/skills/channel-optimizer/optimize_channel.py \
  --capture cap_abc123 \
  --frequency 90.3e6 \
  --optimize offset \
  --port 8087

Optimize squelch:

PYTHONPATH=backend backend/.venv/bin/python .claude/skills/channel-optimizer/optimize_channel.py \
  --capture cap_abc123 \
  --offset 0 \
  --optimize squelch \
  --port 8087

Parameters:

--capture: Capture ID
--frequency: Target frequency (Hz)
--offset: Initial offset (Hz)
--optimize: What to optimize (offset, squelch, agc)
--port: Server port

Optimization Strategies

Offset Optimization

Search range ±10 kHz around initial offset

Test offsets: -10k, -5k, 0, +5k, +10k
Measure RMS level for each
Select offset with highest RMS

Squelch Optimization

Find threshold that:

Opens for signal
Closes for noise
Minimizes false triggers

AGC Optimization

Find attack/release/target that:

Maintains consistent output level
Minimizes pumping artifacts
Preserves dynamics

Files in This Skill

SKILL.md: This file
optimize_channel.py: Channel optimization script

---name: channel-optimizerdescription: Auto-tune channel parameters to find optimal offset, squelch, and AGC settings for best audio quality. Use when setting up new channels, improving weak signals, or finding the sweet spot for demodulation settings.--- # Channel Optimizer for WaveCap-SDR This skill automatically finds optimal channel parameters by testing combinations and measuring audio quality. ## When to Use This Skill Use this skill when: - Setting up channels for new frequencies - Audio quality is poor but signal is present - Need to find exact frequency offset - Tuning squelch threshold - Optimizing AGC parameters - Finding best demodulation settings ## How It Works The optimizer: 1. Creates test channel with initial parameters 2. Captures audio samples 3. Measures quality metrics (RMS, SNR, distortion) 4. Adjusts parameters (offset, squelch, AGC) 5. Repeats until optimal settings found ## Usage Optimize channel offset: ```bash PYTHONPATH=backend backend/.venv/bin/python .claude/skills/channel-optimizer/optimize_channel.py \ --capture cap_abc123 \ --frequency 90.3e6 \ --optimize offset \ --port 8087 ``` Optimize squelch: ```bash PYTHONPATH=backend backend/.venv/bin/python .claude/skills/channel-optimizer/optimize_channel.py \ --capture cap_abc123 \ --offset 0 \ --optimize squelch \ --port 8087 ``` Parameters: - `--capture`: Capture ID - `--frequency`: Target frequency (Hz) - `--offset`: Initial offset (Hz) - `--optimize`: What to optimize (offset, squelch, agc) - `--port`: Server port ## Optimization Strategies ### Offset Optimization Search range ±10 kHz around initial offset - Test offsets: -10k, -5k, 0, +5k, +10k - Measure RMS level for each - Select offset with highest RMS ### Squelch Optimization Find threshold that: - Opens for signal - Closes for noise - Minimizes false triggers ### AGC Optimization Find attack/release/target that: - Maintains consistent output level - Minimizes pumping artifacts - Preserves dynamics ## Files in This Skill - `SKILL.md`: This file - `optimize_channel.py`: Channel optimization script

Frequently asked questions