Ai Behavior Patterns
Design maintainable AI behavior structures for decision-making, navigation, combat, and systemic interaction.
Install
$ agentstack add skill-mrcalderon3d-everything-game-dev-code-ai-behavior-patterns ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-mrcalderon3d-everything-game-dev-code-ai-behavior-patterns) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- define behavior goals and state or decision model
- separate sensing, decision, and action execution
- create tuning hooks and readable debug outputs
- handle fail states, navigation issues, and fallback behavior
- 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.
- Author: MRCalderon3D
- Source: MRCalderon3D/everything-game-dev-code
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.