sveltekit-builder
Use when building SvelteKit apps with Svelte 5. Covers runes, SSR, forms, and stack patterns (Kysely, Better Auth, shadcn-svelte).
Explorez les skills IA publiés de bfmcneill et consultez leurs instructions source.
Skills indexés
10Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Use when building SvelteKit apps with Svelte 5. Covers runes, SSR, forms, and stack patterns (Kysely, Better Auth, shadcn-svelte).
Use when building loading states, progress indicators, success confirmations, or error messages. Covers feedback loops and patterns that feel satisfying.
Use at the start of any coding session to establish activity tracking and working patterns. Defines how the agent should document its work and communicate progress.
Use when creating Python projects, managing dependencies, or running Python scripts. Covers uv package manager commands, best practices, and common patterns for modern Python development.
Use when designing interactions, workflows, or interfaces where user focus matters. Covers protecting flow state, reducing interruptions, and creating immersive experiences.
Use when releasing, tagging, or bumping versions. Defines semver rules and keeps package.json/pyproject.toml synced with git tags.
Use when designing error handling, confirmation dialogs, undo functionality, or any interaction where user trust matters. Covers building confidence through predictability and graceful failure.
Use when refactoring code or designing flexible systems. Covers creational, structural, and behavioral patterns with Python examples.
Use when designing interfaces with complex functionality, settings panels, or expert features. Covers layering information so beginners aren't overwhelmed and experts aren't held back.
Use when you need to understand WHY certain UX patterns work. Covers cognitive psychology, behavioral science, and neuroscience foundations that underpin satisfying experiences.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.