2d-games
免费2D game development principles. Sprites, tilemaps, physics, camera.
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Force unrelated concepts together to discover emergent properties - "What if we treated X like Y?"
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Revolutionary insights come from forcing unrelated concepts to collide. Treat X like Y and see what emerges.
Core principle: Deliberate metaphor-mixing generates novel solutions.
| Stuck On | Try Treating As | Might Discover |
|---|---|---|
| Code organization | DNA/genetics | Mutation testing, evolutionary algorithms |
| Service architecture | Lego bricks | Composable microservices, plug-and-play |
| Data management | Water flow | Streaming, data lakes, flow-based systems |
| Request handling | Postal mail | Message queues, async processing |
| Error handling | Circuit breakers | Fault isolation, graceful degradation |
Problem: Complex distributed system with cascading failures
Collision: "What if we treated services like electrical circuits?"
Emergent properties:
Where it works: Preventing cascade failures Where it breaks: Circuits don't have retry logic Insight gained: Failure isolation patterns from electrical engineering
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2D game development principles. Sprites, tilemaps, physics, camera.
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3D game development principles. Rendering, shaders, physics, cameras.
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Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
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Use when implementing or managing persistent, hierarchical memory systems for AI agents. Covers cross-session state, fact supersession, and self-managed memory tools to enable long-term recall and adaptive agent behavior.
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Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.
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Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
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