2d-games
Free2D game development principles. Sprites, tilemaps, physics, camera.
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Advanced Agentic Coding framework providing mission briefs, guardrails, and integration hints for complex tasks. This skill ensures high-quality output through disciplined automation and systematic workflows.
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See how to installReview the instructions the agent will receive before you install.
Claukit là meta-skill điều phối được căn chỉnh theo hệ sinh thái ClaudeKit Skills. Trong cài đặt local này, claukit đóng vai trò wrapper/orchestrator cho các skill đang có sẵn, chứ không phải một upstream skill độc lập.
https://github.com/mrgoonie/claudekit-skillsmission briefs + guardrails + integration hints để điều phối các skill chuyên biệt.C:\Users\Admin\.gemini\antigravity\skills\ và các junction của Codex.Sử dụng khi:
claukit, ClaudeKit, hoặc muốn làm việc theo phong cách ClaudeKit.references/mission-briefs.md để chốt nguyên tắc vận hành và ưu tiên tổng thể.references/guardrails.md để biết các ranh giới bắt buộc trước khi phân tích hay sửa code.references/integration-hints.md để chọn đúng chain skill cho task hiện tại.references/skills-directory.md để chọn 1-3 skill phù hợp nhất thay vì bật cả hệ thống.claukit riêng nếu thực tế không có. Local claukit là wrapper dựa trên ClaudeKit ecosystem.backend-development; task debug vẫn phải đọc systematic-debugging; task UI vẫn phải đọc frontend-design hoặc aesthetic.claukit -> brainstorming -> writing-plans -> subagent-driven-development -> code-review -> verification-before-completionclaukit -> systematic-debugging -> root-cause-tracing/defense-in-depth -> verification-before-completionclaukit -> frontend-design -> aesthetic -> ui-styling -> chrome-devtoolsclaukit -> backend-development -> databases -> better-auth -> devopsclaukit -> docs-seeker -> repomix -> mermaidjs-v11Lưu ý: Claukit là skill điều phối. Chất lượng đầu ra phụ thuộc vào việc chọn đúng skill chuyên biệt và tuân thủ guardrails.
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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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