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caching-and-purity

Analyze function purity and enforce correct caching mechanisms.

Updated Mar 16, 2026
Search Tags:#debugging#caching#optimization#functional programming#purity#referential transparency
One-click install
npx skills add https://github.com/pyze/claude-plugin --skill caching-and-purity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caching-and-purity
Source: https://github.com/pyze/claude-plugin/tree/main/skills/caching-and-purity
Command: npx skills add https://github.com/pyze/claude-plugin --skill caching-and-purity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps diagnose and fix issues related to incorrect caching and function purity, preventing bugs caused by stale data or unexpected behavior.

Core Features & Use Cases

  • Purity Analysis: Understand the conditions under which a function can be safely cached.
  • Cache Debugging: Identify hidden dependencies that cause caching to fail.
  • Remediation Guidance: Provides clear steps to either make functions pure or disable caching when necessary.
  • Use Case: When a feature relying on cached data shows inconsistent results, use this Skill to pinpoint whether the function is impure and how to resolve it.

Quick Start

Use the caching-and-purity skill to analyze why a function might be returning stale cache results.

Frequently Asked Questions about caching-and-purity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why does my function return stale cache results?▼

Stale cache results typically occur when caching is applied to an impure function. Analyzing referential transparency and identifying hidden dependencies helps pinpoint whether the function violates purity conditions, causing the cached data to become outdated.

What is referential transparency and how does it affect caching?▼

Referential transparency means a function always returns the same output for the same input without side effects. Analyzing this property determines whether a function meets the purity conditions required for valid caching and preventing unexpected behavior.

How do I debug caching issues caused by impure functions?▼

Debugging caching issues involves analyzing the function for hidden dependencies and side effects that break purity. Once identified, you can follow remediation guidance to either refactor the function to be pure or disable caching entirely to prevent bugs.

When should I disable caching instead of making a function pure?▼

Caching should be disabled when a function relies on external state or hidden dependencies that cannot be safely removed. Remediation guidance helps determine if refactoring for purity is feasible or if disabling caching is necessary to prevent inconsistent results.

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