Methodology

A comprehensive guide to Test-Driven Development (TDD) that enforces the red-green-refactor cycle. Provides strict workflows for writing tests before implementation, common rationalizations to avoid, and testing anti-patterns to watch for when creating mocks or test utilities.

This skill teaches a rigorous 4-phase debugging methodology: Investigation, Pattern Analysis, Hypothesis Testing, and Implementation. It includes practical utilities for condition-based test waiting and test pollution detection, along with documentation on root cause tracing and defense-in-depth validation strategies.

Guides the creation of well-structured Claude Code skills by applying Test-Driven Development principles to documentation. Includes templates for SKILL.md structure, testing methodologies using subagents with pressure scenarios, and optimization techniques for skill discovery (Claude Search Optimization).

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

A comprehensive scientific critical thinking skill that helps evaluate research methodology, identify biases, assess statistical validity, and grade evidence quality. It provides frameworks like GRADE and Cochrane Risk of Bias for systematic evaluation of scientific claims and includes extensive reference materials on experimental design, logical fallacies, and common statistical pitfalls.

A research ideation partner skill that helps scientists generate novel hypotheses, explore interdisciplinary connections, and develop new methodological approaches through structured brainstorming techniques like SCAMPER, Six Thinking Hats, and biomimicry.

A comprehensive peer review skill for evaluating scientific manuscripts, grant proposals, and presentations. It provides systematic workflows for assessing methodology, statistics, reproducibility, ethics, and compliance with reporting standards like CONSORT, STROBE, and PRISMA.

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

This skill enables deep, line-by-line code analysis for security audits and architecture reviews. It provides structured frameworks including First Principles, 5 Whys, and 5 Hows methodologies to build comprehensive understanding of codebases before vulnerability hunting. The skill focuses purely on context building and explicitly excludes vulnerability findings or exploit reasoning.

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.

Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.

Safe Refactoring provides a structured methodology for improving code quality without changing functionality. It includes a code smells catalog, refactoring patterns reference, and enforces behavior preservation through mandatory test validation before and after each change.

A debugging methodology skill that applies scientific investigation principles through natural conversation. It guides users through systematic bug diagnosis including hypothesis formation, evidence gathering, root cause analysis, and fix verification while maintaining user control over the investigation direction.

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first