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hypothesis-synthesizer

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Turn messy signals into a testable hypothesis

Data & Analytics#log analysis#test planning#hypothesis generation#triangulation#deepeval#behavioral metrics
Authornsuberi
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you convert scattered evidence from logs, participant transcripts, and behavioral metrics into one clear, testable hypothesis that guides what to change next.

Core Features & Use Cases

  • Triangulation across sources: Uses agreement across log anomalies, transcript evidence, and behavioral indicators to ensure the hypothesis reflects real user and system signals.
  • Test-first output: Produces a narrow If/Then/Because statement plus a draft deepeval test name and a primary assertion focus, rather than proposing fixes.
  • Evidence-based gating: Only writes hypotheses when at least 2 of 3 signals agree, reducing guesswork and improving experimental reliability.
  • Reproducibility planning: Suggests sessions to reproduce and specifies expected pre-fix FAIL versus post-fix PASS outcomes.

Quick Start

Ask the AI to synthesize a hypothesis from your Log Analyst report, transcript fixtures, and fixtures/behavioral.json, and return an If/Then/Because statement with a draft test name and primary assertion.

Dependency Matrix

Required Modules

None required

Components

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: hypothesis-synthesizer
Download link: https://github.com/nsuberi/ai-prototype-hub/archive/main.zip#hypothesis-synthesizer

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