sensory-signal-detection
OfficialFind what matters by separating signal from noise.
Data & Analytics#decision making#prioritization#counterfactual#signal detection#noise reduction#variance analysis#information overload
Authorhuman-avatar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you identify which information in a crowded environment is actually relevant to the outcome you care about, instead of getting distracted by noise.
Core Features & Use Cases
- Inventory everything present to avoid premature filtering and missing key variables.
- Classify inputs with variance, persistence, specificity, and counterfactual checks to separate signal from background variation.
- Produce prioritized focus by summarizing the top signals and the notable noise to stop tracking.
- Use Case: When an inbox, dashboard, meeting, or project has too many signals, use it to decide what to investigate first and what to ignore.
Quick Start
Run sensory-signal-detection for your situation and ask for a "Key findings only" scope to get the top signals and main noise drivers.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: sensory-signal-detection Download link: https://github.com/human-avatar/skills-for-humanity/archive/main.zip#sensory-signal-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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