trade-study-analysis
CommunityGround decisions with data-backed trade studies.
Data & Analytics#source-grounded#normalization#weighting#sensitivity-analysis#decision-analysis#trade-study
Authorddunnock
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables engineers to perform formal trade studies by grounding decisions in documented sources, reducing ambiguity and ungrounded conclusions.
Core Features & Use Cases
- Structured problem framing: Define problems, identify root causes, and scope evaluation criteria to ensure defensible decisions.
- Data-grounded evaluation: Collect, validate, and normalize data from alternatives and datasheets with explicit sources.
- Weighted scoring & sensitivity: Apply weights, perform normalization, run sensitivity analyses, and generate professional reports with visuals.
Quick Start
- Prepare problem context, sources, and alternatives, then kick off the DAU 9-Step Trade Study workflow.
- Use the included scripts to register sources, collect data, compute scores, and generate a final report.
- Example command: python tools/init_plugin.py skill trade-study-analysis --path skills
Dependency Matrix
Required Modules
numpypandasmatplotlibseabornscipy
Components
scripts
💻 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: trade-study-analysis Download link: https://github.com/ddunnock/claude-plugins/archive/main.zip#trade-study-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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