Skip to content
cccskills

Results for “cva”

29 skills · sorted by relevance

Implements Riverpod (v3.3.x) compile-safe state management for Flutter apps. Use when implementing @riverpod code generation providers, handling AsyncValue loading/error/data states, using ref.watch/ref.read/ref.listen, setting up ProviderScope, writing Notifier/AsyncNotifier classes, using FutureProvider/StreamProvider, applying autoDispose and family modifiers, combining providers, testing providers in isolation, scoping rebuilds with Consumer instead of ConsumerWidget, using ref.watch with select() for field-level precision, migrating from StateNotifierProvider or Riverpod 2.x patterns, handling Notifier resource lifecycle with ref.onDispose, or using experimental Mutation and offline persistence APIs.

The English summary is being prepared. Showing the original description.

Poorgramer-Zack/dart-expert-skills7Updated Aug 11, 2026

Use Kanpeki component library in React projects. Activate when user wants to add, use, customize, or compose accessible UI components from Kanpeki (@kanpeki/*). Covers installation, component patterns, forms, theming, and dark mode with React Aria Components + Tailwind CSS 4.1 + CVA.

The English summary is being prepared. Showing the original description.

fellipeutaka/denji6Updated Aug 3, 2026

风险管理核心skill套件 — CVaR实时风控、动态仓位管理(风控版)。对标Bridgewater全天候策略、PIMCO风控体系的工程化实现。

The English summary is being prepared. Showing the original description.

aAAaqwq/openclaw-team2Updated Jun 18, 2026

Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.

The English summary is being prepared. Showing the original description.

aAAaqwq/openclaw-team2Updated Jun 18, 2026

Production-grade AI trading agent for cryptocurrency markets with advanced mathematical modeling, multi-layer validation, probabilistic analysis, and zero-hallucination tolerance. Implements Bayesian inference, Monte Carlo simulations, advanced risk metrics (VaR, CVaR, Sharpe), chart pattern recognition, and comprehensive cross-verification for real-world trading application.

The English summary is being prepared. Showing the original description.

danstrem2/clawdbot-skill-master-pack2Updated Feb 1, 2026