productivity▌

一条命令完成：读论文 → 生成解读 → 铸成卡片。支持多篇并行。

Automated agent-driven development loop that executes AI agents against user story acceptance criteria. \n \n Structures features as JSON-formatted user stories with testable acceptance criteria that agents can verify and track \n Runs AI agents in a continuous loop to implement features, check acceptance criteria, and log progress for subsequent agent iterations \n Requires prerequisite setup of AI coding agent configuration and user stories framework before running the Ralph agent loop \n Inte

Comprehensive best practices for writing reliable, maintainable Pulumi infrastructure code. \n \n Avoid creating resources inside apply() callbacks; pass Output objects directly as inputs to preserve dependency tracking and preview visibility \n Use ComponentResource classes to group related resources into reusable logical units with proper parent-child hierarchy via parent: this \n Encrypt secrets from the start with --secret flag or config.requireSecret() to prevent credential leakage in state

Kling 3.0 is a unified multimodal video model. It understands cinematic direction, not keyword lists. Write prompts like a director — describe what the audience sees, hears, and feels over time.

Polars is a lightning-fast DataFrame library for Python and Rust built on Apache Arrow. Work with Polars' expression-based API, lazy evaluation framework, and high-performance data manipulation capabilities for efficient data processing, pandas migration, and data pipeline optimization.

NgRx state management rules for global state with actions, reducers, effects, and selectors. Use with the core angular-best-practices skill for comprehensive Angular coverage.

This skill enables comprehensive Apple App Store Optimization (ASO) analysis and metadata generation. Analyze existing app listings, generate optimized metadata following Apple's guidelines and character limits, provide competitive insights, and recommend screenshot storyboard strategies.

Analyze and manage investment portfolios by integrating with Alpaca MCP Server to fetch real-time holdings data, then performing comprehensive analysis covering asset allocation, diversification, risk metrics, individual position evaluation, and rebalancing recommendations. Generate detailed portfolio reports with actionable insights.

Type-safe Vue state management with intuitive store patterns and first-class TypeScript support. \n \n Supports both Options API and Composition API styles, with built-in devtools integration for debugging \n Core capabilities include defining stores with state, getters, actions, subscriptions, and store-to-store composition \n Extensible via plugins to add custom properties and behavior across stores \n Includes testing utilities via @pinia/testing for mocking and stubbing, plus SSR and Nuxt in

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.