plugins/faos-ux-designer/skills/zustand-store-ts/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: zustand-store-ts description: Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand. tags: [cloud, zustand] --- # Zustand Store Create Zustand stores following established patterns with proper TypeScript types and middleware. ## Quick Start Copy the tem
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-ux-designer/skills/zustand-store-tsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create Zustand stores following established patterns with proper TypeScript types and middleware.
Copy the template from assets/template.ts and replace placeholders:
{{StoreName}} → PascalCase store name (e.g., Project){{description}} → Brief description for JSDocimport { create } from 'zustand';
import { subscribeWithSelector } from 'zustand/middleware';
export const useMyStore = create<MyStore>()(
subscribeWithSelector((set, get) => ({
// state and actions
}))
);
export interface MyState {
items: Item[];
isLoading: boolean;
}
export interface MyActions {
addItem: (item: Item) => void;
loadItems: () => Promise<void>;
}
export type MyStore = MyState & MyActions;
// Good - only re-renders when `items` changes
const items = useMyStore((state) => state.items);
// Avoid - re-renders on any state change
const { items, isLoading } = useMyStore();
useMyStore.subscribe(
(state) => state.selectedId,
(selectedId) => console.log('Selected:', selectedId)
);
src/frontend/src/store/src/frontend/src/store/index.tssrc/frontend/src/store/*.test.tsdevelopment
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU