菜单
Design and validate AI-driven anomaly/fraud-style detection workflows for game operations. Use when defining signal features, model scoring thresholds, investigation routing, or validating detection pipeline reliability and false-positive controls.
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基于 SOC 职业分类
Create structured game info/rules content for slot games. Invoke when drafting game info sections, symbol payouts, bonus purchase rules, or required disclaimers.
End-to-end Stake game development workflow for math, RGS contract, frontend playback, and compliance gating. Use when building or updating Stake games, defining game modes and RTP targets, validating generated books/index metadata, validating event streams, integrating frontend event playback, implementing RGS communication and replay mode, or preparing publication checks including social-language and jurisdiction requirements.
Define auto-play UX, stop conditions, and safeguards for slot games. Invoke when implementing autoplay controls, confirmations, or stop-on-event rules.
Design, mix, and integrate slot game audio including ambient loops, spin sounds, win celebrations, and feature music. Use when defining audio assets, tuning volume levels, synchronizing sound with animations, or validating audio loop seamlessness.
Design and execute test plans for slot games covering math correctness, UI logic, performance, and compliance. Use when validating game rules, running regression tests, verifying error handling, checking jurisdiction constraints, or preparing release sign-off reports.
Design and implement visual effects for slot games using shaders, particle systems, and sprite animations. Use when defining big win sequences, feature transitions, symbol animations, or optimizing VFX performance for mobile devices.
| name | freud-detection-ai |
| description | Design and validate AI-driven anomaly/fraud-style detection workflows for game operations. Use when defining signal features, model scoring thresholds, investigation routing, or validating detection pipeline reliability and false-positive controls. |
Use this skill to implement anomaly-detection workflows with explainable gating and review paths.
Return:
Context: goals, assumptions, constraints.Validation: pass/fail checks and key deltas.Changes: concrete file-level updates.Commands: commands and expected outputs.Risks: unresolved issues and limits.references/workflow.md: detailed execution flow.references/checklist.md: sign-off checklist.