Agent Skillsmrgoonie/claudekit-skills › Simplification Cascades

Simplification Cascades

GitHub

一种通过发现统一原理消除多个组件的设计思维技能,旨在识别重复实现和特殊案例,提取通用模式以大幅简化系统复杂度。

.claude/skills/problem-solving/simplification-cascades/SKILL.md mrgoonie/claudekit-skills

Trigger Scenarios

存在多处相似概念的实现 特殊处理逻辑遍布代码 规则包含大量例外情况 配置选项过于繁杂

Install

npx skills add mrgoonie/claudekit-skills --skill Simplification Cascades -g -y
More Options

Non-standard path

npx skills add https://github.com/mrgoonie/claudekit-skills/tree/main/.claude/skills/problem-solving/simplification-cascades -g -y

Use without installing

npx skills use mrgoonie/claudekit-skills@Simplification Cascades

指定 Agent (Claude Code)

npx skills add mrgoonie/claudekit-skills --skill Simplification Cascades -a claude-code -g -y

安装 repo 全部 skill

npx skills add mrgoonie/claudekit-skills --all -g -y

预览 repo 内 skill

npx skills add mrgoonie/claudekit-skills --list

SKILL.md

Frontmatter
{
    "name": "Simplification Cascades",
    "version": "1.1.0",
    "description": "Find one insight that eliminates multiple components - \"if this is true, we don't need X, Y, or Z\"",
    "when_to_use": "when implementing the same concept multiple ways, accumulating special cases, or complexity is spiraling"
}

Simplification Cascades

Overview

Sometimes one insight eliminates 10 things. Look for the unifying principle that makes multiple components unnecessary.

Core principle: "Everything is a special case of..." collapses complexity dramatically.

Quick Reference

Symptom Likely Cascade
Same thing implemented 5+ ways Abstract the common pattern
Growing special case list Find the general case
Complex rules with exceptions Find the rule that has no exceptions
Excessive config options Find defaults that work for 95%

The Pattern

Look for:

  • Multiple implementations of similar concepts
  • Special case handling everywhere
  • "We need to handle A, B, C, D differently..."
  • Complex rules with many exceptions

Ask: "What if they're all the same thing underneath?"

Examples

Cascade 1: Stream Abstraction

Before: Separate handlers for batch/real-time/file/network data Insight: "All inputs are streams - just different sources" After: One stream processor, multiple stream sources Eliminated: 4 separate implementations

Cascade 2: Resource Governance

Before: Session tracking, rate limiting, file validation, connection pooling (all separate) Insight: "All are per-entity resource limits" After: One ResourceGovernor with 4 resource types Eliminated: 4 custom enforcement systems

Cascade 3: Immutability

Before: Defensive copying, locking, cache invalidation, temporal coupling Insight: "Treat everything as immutable data + transformations" After: Functional programming patterns Eliminated: Entire classes of synchronization problems

Process

  1. List the variations - What's implemented multiple ways?
  2. Find the essence - What's the same underneath?
  3. Extract abstraction - What's the domain-independent pattern?
  4. Test it - Do all cases fit cleanly?
  5. Measure cascade - How many things become unnecessary?

Red Flags You're Missing a Cascade

  • "We just need to add one more case..." (repeating forever)
  • "These are all similar but different" (maybe they're the same?)
  • Refactoring feels like whack-a-mole (fix one, break another)
  • Growing configuration file
  • "Don't touch that, it's complicated" (complexity hiding pattern)

Remember

  • Simplification cascades = 10x wins, not 10% improvements
  • One powerful abstraction > ten clever hacks
  • The pattern is usually already there, just needs recognition
  • Measure in "how many things can we delete?"

Version History

  • 80113d8 Current 2026-08-20 08:14

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