ReddRadar
Agent skill
parameter-specific-logic-rules
Rules for implementing parameter-specific logic in the cellular automata simulation. These rules detail how each parameter influences the simulation.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/parameter-specific-logic-rules
SKILL.md
Parameter Specific Logic Rules Skill
- Implement Parameter-Specific Logic:
- For each parameter in the region structure, create dedicated functions or methods to apply its effects. For example:
- Obstacle: Turns the cell into an obstacle, preventing it from being randomly selected, and preventing neighbor soup cells from interacting with it.
- Directional influence: Adjust the probability of a cell interacting with neighbors in specific directions.
- Randomness: Introduce variability in state transitions or cell behavior.
- Temperature: Affect the overall activity level or energy of cells within the region.
- Energy level: Influence the likelihood of certain operations or state changes.
- Design these functions to be modular and easily expandable, allowing for the addition of new parameters in the future without major code restructuring.
- For each parameter in the region structure, create dedicated functions or methods to apply its effects. For example:
Memory Protocol (MANDATORY)
Before starting:
cat .claude/context/memory/learnings.md
After completing: Record any new patterns or exceptions discovered.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
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