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Design and implement append-only event stores for event-sourced systems. \n \n Covers architecture patterns, technology comparison (EventStoreDB, PostgreSQL, Kafka, DynamoDB), and core requirements including append-only semantics, ordering, versioning, and subscriptions \n Includes production-ready PostgreSQL schema with indexing strategy, snapshots table, and subscription checkpoints for managing consumer state \n Provides Python event store implementation with optimistic concurrency control, s

Event prospecting skill that extracts speakers from events and ranks them based on user-defined criteria.

event (v1) \n \n 前置条件： 先阅读 ../lark-shared/SKILL.md 了解认证、权限处理和安全规则。 \n \n Shortcuts（推荐优先使用） \n Shortcut 是对常用操作的高级封装（ lark-cli event +<verb> [flags] ）。有 Shortcut 的操作优先使用。 \n \n \n \n Shortcut \n 说明 \n \n \n \n \n +subscribe \n Subscribe to Lark events via WebSocket long connection (read-only, NDJSON output); bot-only; supports compact agent-friendly format, regex routing, file output \n \n \n

Automatically share Google Drive files with all attendees of a Calendar event. \n \n Requires gws-calendar and gws-drive skills as dependencies \n Retrieves event attendee list from Google Calendar, then grants each attendee reader access to specified Drive files \n Includes verification step to confirm sharing permissions were applied successfully \n

When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.

扮演特殊情况分析师。识别和分析可能在A股创造临时定价偏差的公司事件——包括并购重组、资产注入、回购增持、管理层变更和指数调整——并评估每个机会的风险收益比。

Comprehensive guide to designing event stores for event-sourced applications.

Basic event emission:

Creates event extensions for Wix CLI applications. Events are triggered when specific conditions occur—on a Wix user's site for app projects, or on your project's site for headless projects. Your project responds using event extensions built on JavaScript SDK webhooks; the CLI subscribes your project to these webhooks.

Event-Driven Architecture patterns for Spring Boot using domain events, transactional listeners, and Kafka messaging. \n \n Covers domain event design, ApplicationEventPublisher integration, and @TransactionalEventListener configuration for local event handling with AFTER_COMMIT phase guarantees \n Supports distributed messaging via Kafka and Spring Cloud Stream for inter-service communication with functional consumer beans \n Implements the transactional outbox pattern for reliable event publis