2d-games
Free2D game development principles. Sprites, tilemaps, physics, camera.
The English summary is being prepared. Showing the original description.
A template for creating new modular and scalable agent skills.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
This is a blueprint for creating new skills. Follow this folder structure and the guidelines in STRUCTURE.md.
SKILL.md: Metadata and high-level instructions.scripts/: Implementation logic (Python/Node).resources/: Prompts, reference documents, or static data.examples/: Sample usage for the agent to learn from.tests/: Basic verification to ensure the skill works.SKILL.md updated with the latest capabilities.../common/ for logging and environment management.artifacts/ (don't commit these).Refer to examples/basic_usage.md for a demonstration.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
2D game development principles. Sprites, tilemaps, physics, camera.
The English summary is being prepared. Showing the original description.
3D game development principles. Rendering, shaders, physics, cameras.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.
The English summary is being prepared. Showing the original description.
Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
The English summary is being prepared. Showing the original description.