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noise-reduction

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Reduce conversation noise to keep memories crisp

Data & Analytics#analysis#memory#diagnostics#transcripts#data-cleaning#noise-reduction
AuthorMattWenJun
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Noise in conversation transcripts degrades memory recall and makes it hard to retrieve relevant context. This Skill provides structured noise profiling, metadata stripping, and conservative filtering to preserve meaningful user-agent content while removing noise patterns.

Core Features & Use Cases

  • Noise profiling and pattern inventory for agent-user transcripts across channels.
  • Metadata stripping and rule-based filtering to reduce irrelevant content without losing essential context.
  • Validation and reporting to quantify compression, false positives, and missed noise for continuous improvement.

Quick Start

Run diagnose-noise.js <YYYY-MM-DD> to generate an initial noise profile for that date.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: noise-reduction
Download link: https://github.com/MattWenJun/ClaWiser/archive/main.zip#noise-reduction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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