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scientific-method

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Reasoned debugging and design via science.

Software Engineering#debugging#problem-solving#software-engineering#scientific-method#experimental-design
Authorhffmnnj
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a structured, scientific approach to software development problems, enabling rigorous reasoning and evidence-based decisions.

Core Features & Use Cases

  • Structured Problem Solving: Guides teams through Observation, Question, Hypothesis, Prediction, Experiment, Analysis, and Conclusion.
  • Versatile Application: Applies to debugging, feature design, code reviews, and process improvements across various tech stacks.
  • Use Case: When diagnosing a flaky API, follow the seven steps to isolate causes, test hypotheses, and validate fixes before shipping.

Quick Start

Use the seven-step method to investigate a failing login example:

  • Observe: collect error messages and symptoms.
  • Question: what is causing the login failure?
  • Hypothesis: the issue is password hashing mismatch.
  • Predict: if correct, login should succeed with a valid hash.
  • Experiment: modify the hashing function and re-test.
  • Analyze: review logs and test results.
  • Conclude: implement the fix and verify.

Dependency Matrix

Required Modules

None required

Components

Standard package

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Please help me install this Skill:
Name: scientific-method
Download link: https://github.com/hffmnnj/opencode-goopspec/archive/main.zip#scientific-method

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