cc-table-driven-methods

Replace conditional logic with lookup tables for data-driven decision making.

351|31|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/ryanthedev/code-foundations --skill cc-table-driven-methods
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cc-table-driven-methods
Source: https://github.com/ryanthedev/code-foundations/tree/main/skills/cc-table-driven-methods
Command: npx skills add https://github.com/ryanthedev/code-foundations --skill cc-table-driven-methods

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Replace complex conditional logic with table-driven lookups to simplify maintenance and improve clarity.

Core Features & Use Cases

  • CHECKER mode identifies opportunities where 4+ if/else or growing switch/inheritance can be replaced by tables.
  • APPLIER mode designs table structures, access methods, and key transformations to implement data-driven behavior.
  • Use cases include refactoring decision logic, grade cutoffs, category mapping, feature flags, and configuration-driven behavior.

Quick Start

Provide a simple example of refactoring a six-branch if/else into a lookup table and a minimal lookup routine.

Frequently Asked Questions about cc-table-driven-methods

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

FAQPage Schema
How do I replace a growing switch statement with a lookup table?

Yes, you can refactor inheritance hierarchies by driving behavior with data instead of code. Replace polymorphic conditional logic with table contents and access methods to implement configuration-driven behavior.

When do I need table-driven methods for code optimization?

You need table-driven methods for code optimization when you have 4 or more if/else chains or growing switch statements. This technique simplifies maintenance and improves clarity for decision logic like grade cutoffs.

What is the best way to handle complex conditional logic in refactoring?

The best way to handle complex conditional logic in refactoring is replacing if/else chains with lookup tables. This design pattern captures decisions for access methods like direct, indexed, or stair-step to simplify decision making.

Does table-driven design work for category mapping and feature flags?

Yes, table-driven design works for category mapping and feature flags. By considering external data when appropriate, you can structure table contents to drive configuration-driven behavior and simplify maintenance.

What are the limitations of using lookup tables for conditional logic?

Limitations of using lookup tables include the requirement to isolate key transformations accurately. If your table contents rely on routine references or action codes, complex external data dependencies might make direct if/else logic simpler to maintain.