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Simplification Cascades

Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"

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Part of vodailocz/kilo-kit-mcp — 142 skills

Install

skills CLI npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp/tree/main/skills/problem-solving/simplification-cascades
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install vodailocz-kilo-kit-mcp@llmmart
Git git clone https://github.com/VoDaiLocz/kilo-kit-mcp.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole vodailocz/kilo-kit-mcp collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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?"
Files (kilo-kit-mcp)
  • SKILL.md 2.8 KB
    ---
    name: Simplification Cascades
    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
    version: 1.1.0
    ---
    
    # 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?"
    

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