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majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Simplification by majiayu000 — Agent Skill

Name: Simplification
Rating: 4.666666666666667 (3 reviews)
Author: majiayu000

Simplification

Finds insights that eliminate multiple components; "if this is true, we don't need X, Y, or Z". Used when implementing the same concept multiple ways, accumulating special cases, or complexity is spiraling. Otherwise known as "Simplification Cascades"

majiayu000 f774496 2 files · 3.7 KB Updated Sep 9, 2026 567 repo stars

File contents

Simplification cascades

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. Restriction: Always ask user permission to enact this simplification process.

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

List the variations - What's implemented multiple ways?
Find the essence - What's the same underneath?
Extract abstraction - What's the domain-independent pattern?
Test it - Do all cases fit cleanly?
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?"

---name: simplificationdescription: Finds insights that eliminate multiple components; "if this is true, we don't need X, Y, or Z". Used when implementing the same concept multiple ways, accumulating special cases, or complexity is spiraling. Otherwise known as "Simplification Cascades"--- # Simplification cascades 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. **Restriction**: *Always* ask user permission to enact this simplification process. ## 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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