2d-games
Free2D game development principles. Sprites, tilemaps, physics, camera.
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Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
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See how to installReview the instructions the agent will receive before you install.
Check for package-lock.json (npm), pnpm-lock.yaml (pnpm), yarn.lock (yarn), bun.lockb (bun). Use whichever is present. Default to npm if unclear.
Install as devDependencies:
husky lint-staged prettier
npx husky init
This creates .husky/ dir and adds prepare: "husky" to package.json.
.husky/pre-commitWrite this file (no shebang needed for Husky v9+):
npx lint-staged
npm run typecheck
npm run test
Adapt: Replace npm with detected package manager. If repo has no typecheck or test script in package.json, omit those lines and tell the user.
.lintstagedrc{
"*": "prettier --ignore-unknown --write"
}
.prettierrc (if missing)Only create if no Prettier config exists. Use these defaults:
{
"useTabs": false,
"tabWidth": 2,
"printWidth": 80,
"singleQuote": false,
"trailingComma": "es5",
"semi": true,
"arrowParens": "always"
}
.husky/pre-commit exists and is executable.lintstagedrc existsprepare script in package.json is "husky"prettier config existsnpx lint-staged to verify it worksStage all changed/created files and commit with message: Add pre-commit hooks (husky + lint-staged + prettier)
This will run through the new pre-commit hooks: a good smoke test that everything works.
prettier --ignore-unknown skips files Prettier can't parse (images, etc.)No reviews yet. Tell others what you thought.
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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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