发现最适合你需求的 AI 技能
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Comprehensive garden planning — track plants, get planting recommendations, watering schedules, and frost alerts. Use when: garden, plant, planting, harvest, frost warning, watering schedule, what should I plant, garden status, garden planner.
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Audit interaction feedback quality: input acknowledgment, hit/collect/reward/failure signaling, danger telegraphing, and state-transition clarity.
Turn a vague game idea into a sharp fantasy, design pillars, player verbs, and acceptance bar before implementation begins. This is the proper “brainstorm” stage, not endless ideation.
Run a narrow compare between two or three backend profiles when architecture uncertainty is real. Use carefully, because it usually costs more tokens and time.
Decide the AI-native development mode, quality target, task granularity, and refactor policy based on project state and user intent. This skill prevents both over-cautious iteration and reckless live-product rewrites.
Choose or compare backend profiles based on required capabilities, project state, and quality target. Stay stack-neutral at the top level while still giving sharp recommendations and tradeoffs.
Summarize audit findings into a structured multi-dimensional scorecard for UI/UX, feedback, mechanics, scope completeness, maintainability, and live risk.
Audit the project's audio layer as UX feedback: UI sounds, success/failure signals, danger cues, layering, and semantic sound priorities.
Audit architecture, state management, boundaries, coupling, and maintainability risks that will make future AI or human iteration harder.