2d-games
無料2D game development principles. Sprites, tilemaps, physics, camera.
日本語の概要は準備中です。原文の説明を表示しています。
Dispatch to the right problem-solving technique based on how you're stuck
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Different stuck-types need different techniques. This skill helps you quickly identify which problem-solving skill to use.
Core principle: Match stuck-symptom to technique.
digraph stuck_dispatch {
rankdir=TB;
node [shape=box, style=rounded];
stuck [label="You're Stuck", shape=ellipse, style=filled, fillcolor=lightblue];
complexity [label="Same thing implemented 5+ ways?\nGrowing special cases?\nExcessive if/else?"];
innovation [label="Can't find fitting approach?\nConventional solutions inadequate?\nNeed breakthrough?"];
patterns [label="Same issue in different places?\nFeels familiar across domains?\nReinventing wheels?"];
assumptions [label="Solution feels forced?\n'This must be done this way'?\nStuck on assumptions?"];
scale [label="Will this work at production?\nEdge cases unclear?\nUnsure of limits?"];
bugs [label="Code behaving wrong?\nTest failing?\nUnexpected output?"];
stuck -> complexity;
stuck -> innovation;
stuck -> patterns;
stuck -> assumptions;
stuck -> scale;
stuck -> bugs;
complexity -> simp [label="yes"];
innovation -> collision [label="yes"];
patterns -> meta [label="yes"];
assumptions -> invert [label="yes"];
scale -> scale_skill [label="yes"];
bugs -> debug [label="yes"];
simp [label="skills/problem-solving/\nsimplification-cascades", shape=box, style="rounded,filled", fillcolor=lightgreen];
collision [label="skills/problem-solving/\ncollision-zone-thinking", shape=box, style="rounded,filled", fillcolor=lightgreen];
meta [label="skills/problem-solving/\nmeta-pattern-recognition", shape=box, style="rounded,filled", fillcolor=lightgreen];
invert [label="skills/problem-solving/\ninversion-exercise", shape=box, style="rounded,filled", fillcolor=lightgreen];
scale_skill [label="skills/problem-solving/\nscale-game", shape=box, style="rounded,filled", fillcolor=lightgreen];
debug [label="skills/debugging/\nsystematic-debugging", shape=box, style="rounded,filled", fillcolor=lightyellow];
}
| How You're Stuck | Use This Skill |
|---|---|
| Complexity spiraling - Same thing 5+ ways, growing special cases | skills/problem-solving/simplification-cascades |
| Need innovation - Conventional solutions inadequate, can't find fitting approach | skills/problem-solving/collision-zone-thinking |
| Recurring patterns - Same issue different places, reinventing wheels | skills/problem-solving/meta-pattern-recognition |
| Forced by assumptions - "Must be done this way", can't question premise | skills/problem-solving/inversion-exercise |
| Scale uncertainty - Will it work in production? Edge cases unclear? | skills/problem-solving/scale-game |
| Code broken - Wrong behavior, test failing, unexpected output | skills/debugging/systematic-debugging |
| Multiple independent problems - Can parallelize investigation | skills/collaboration/dispatching-parallel-agents |
| Root cause unknown - Symptom clear, cause hidden | skills/debugging/root-cause-tracing |
Some problems need multiple techniques:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
2D game development principles. Sprites, tilemaps, physics, camera.
日本語の概要は準備中です。原文の説明を表示しています。
3D game development principles. Rendering, shaders, physics, cameras.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.
日本語の概要は準備中です。原文の説明を表示しています。
Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
日本語の概要は準備中です。原文の説明を表示しています。