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Ai Behavior Patterns

skill-mrcalderon3d-everything-game-dev-code-ai-behavior-patterns · by MRCalderon3D

Design maintainable AI behavior structures for decision-making, navigation, combat, and systemic interaction.

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Install

$ agentstack add skill-mrcalderon3d-everything-game-dev-code-ai-behavior-patterns

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Ai Behavior Patterns

Purpose

Design maintainable AI behavior structures for decision-making, navigation, combat, and systemic interaction.

Use When

  • NPC behavior needs structure
  • AI tuning is opaque
  • behavior authoring is hard to debug

Inputs

  • enemy or NPC roles
  • world rules
  • combat or systemic constraints
  • performance targets

Process

  1. define behavior goals and state or decision model
  2. separate sensing, decision, and action execution
  3. create tuning hooks and readable debug outputs
  4. handle fail states, navigation issues, and fallback behavior
  5. profile high-density scenarios early

Outputs

  • AI behavior model
  • tuning hooks
  • debugging checklist
  • performance risk notes

Quality Bar

  • makes ownership, state flow, and failure behavior explicit
  • improves maintainability without over-abstracting
  • supports testing, debugging, and safe iteration

Common Failure Modes

  • coupling systems through hidden globals or timing assumptions
  • writing logic that is hard to test or debug
  • optimizing the wrong layer before measuring

Related Agents

  • ai-programmer
  • combat-designer
  • performance-reviewer

Related Commands

  • tech-design
  • verify
  • playtest-report

Notes

  • Keep this skill aligned with the relevant rules layer and current project documentation.
  • If engine-specific constraints materially change the workflow, hand off to the matching engine skill or engine-specific reviewer.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.