AsyncAPI 事件目录生成器 是做什么的?
解析 AsyncAPI 2.x/3.x 规范,利用 AsyncAPI 生成器生成事件驱动架构目录,包括频道文档、消息模式验证器和 EventBridge 规则模板。
安装
无法自动提取基于源代码的安装或使用说明。在敏感工作流中运行此技能之前,请先审查上游项目。
解析 AsyncAPI 2.x/3.x 规范,利用 AsyncAPI 生成器生成事件驱动架构目录,包括频道文档、消息模式验证器和 EventBridge 规则模板。
AsyncAPI 事件目录生成器是一款专为事件驱动架构(EDA)设计的技能。它能够解析 AsyncAPI 2.x 和 3.x 规范,并利用 AsyncAPI 生成器自动生成完整的事件目录。该技能生成的输出包括:详细的频道文档(描述事件流和发布/订阅关系)、消息模式验证器(确保消息格式符合规范)、以及 AWS EventBridge 规则模板(便于集成到云环境中)。这对于需要管理复杂事件系统的开发者来说非常有用——能够从单一规范文件自动生成文档、验证器和部署配置,显著减少手动工作量。该技能支持多种 AI 代理平台(如 Claude Code、Cursor 等),其工作方式基于解析 AsyncAPI 规范并调用 AsyncAPI 生成器库进行模板渲染。用户只需提供规范文件,即可获得结构化的目录输出,适用于微服务监控、事件审计和基础设施即代码等场景。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/asyncapi-event-catalog-generator解析 AsyncAPI 2.x/3.x 规范,利用 AsyncAPI 生成器生成事件驱动架构目录,包括频道文档、消息模式验证器和 EventBridge 规则模板。
无法自动提取基于源代码的安装或使用说明。在敏感工作流中运行此技能之前,请先审查上游项目。
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
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Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
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Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
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