Evaluate code changes for accidental complexity using Hickey's Simple Made Easy.
npx skills add https://github.com/juspay/ci --skill hickey-juspay
Please help me install this Agent Skill. Skill: hickey Source: https://github.com/juspay/ci/tree/main/.claude/skills/hickey Command: npx skills add https://github.com/juspay/ci --skill hickey-juspay
Hickey's Simple Made Easy is a framework to surface accidental complexity in code reviews, guiding reviewers to identify interleaving concerns, fragmentation, and concept multiplication that slow understanding and change.
Review the code under review and apply Hickey's Simple Made Easy criteria to surface simplifications.
High-intent search queries and answers about installing and using this skill.
Hickey's Simple Made Easy framework identifies accidental complexity by evaluating code changes for interleaving concerns, fragmentation, and concept multiplication. This surfaces structural issues that slow code understanding and change during PR reviews.
Analyzing code structure for refactoring involves applying evaluation layers like concern interleaving, concept multiplication, and entanglement. This generates a structured, prioritized report with concrete simplifications and design improvements.
Hickey's Simple Made Easy framework works by applying evaluation layers such as concerns, fragmentation, concept multiplication, structural patterns, and entanglement to code changes. It returns a structured report detailing findings and severity.
Yes, structural code analysis provides concrete next steps for refactoring. It evaluates layering and entanglement to propose targeted refactor strategies, returning a structured report with prioritized simplifications and risk notes.
You need to evaluate layering and entanglement when trying to reduce accidental complexity and improve code simplicity. This process distinguishes between complecting and fragmentation to propose targeted refactor strategies.
Yes, this code review approach works for developer teams and product reviews by providing a structured report. This report details complexity findings, severity levels, and concrete next steps suitable for team discussions.
sobhanashineAnalyzes pull-request diffs for SQL safety and LLM trust boundary violations.
ngquaanghuyAnalyze entire codebases to identify and rank over-engineering issues.
dioerdenReview GitHub pull requests and generate structured reports with security findings.
cdman28Analyze Python and JavaScript/TypeScript code for smells, complexity, and refactoring opportunities.
