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Extractor de Esquemas de Apache Kafka

Extrae y transforma definiciones de esquemas Avro, Protobuf y JSON Schema desde Confluent Schema Registry. Genera modelos de datos tipados y valida la compatibilidad de esquemas usando la API REST de Schema Registry.

¿Qué es Extractor de Esquemas de Apache Kafka?

Esta habilidad para agentes de IA se especializa en la extracción y transformación de definiciones de esquemas desde Confluent Schema Registry, soportando los formatos Avro, Protobuf y JSON Schema. Es particularmente útil para desarrolladores y agentes que trabajan con ecosistemas Apache Kafka, ya que permite generar modelos de datos con tipos específicos (typed data models) y validar la compatibilidad de versiones de esquemas mediante la API REST de Schema Registry. Compatible con entornos como Claude Code, Cursor y Codex, la habilidad automatiza tareas críticas como la verificación de compatibilidad entre esquemas, reduciendo errores manuales y acelerando el desarrollo de aplicaciones basadas en eventos. Su funcionamiento se basa en la interacción directa con el Schema Registry, utilizando la API REST para obtener, comparar y transformar esquemas, y puede integrarse fácilmente en pipelines de CI/CD o flujos de trabajo de agentes que requieran gestión de esquemas.

Compatible con~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-kafka-schema-extractor
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Documentación

¿Qué hace Extractor de Esquemas de Apache Kafka?

Extrae y transforma definiciones de esquemas Avro, Protobuf y JSON Schema desde Confluent Schema Registry. Genera modelos de datos tipados y valida la compatibilidad de esquemas usando la API REST de Schema Registry.

Instalación

Usa la ruta de instalación o configuración ascendente que coincida con tu entorno:

  • docker run -p 9092:9092 apache/kafka:latest

Requisitos y advertencias de la fuente original:

  • Usando la imagen Docker:
  • Consulta docker/README.md para obtener información detallada.

Notas de uso básico o primeros pasos:

Fuente

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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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.

ACF Extended for Advanced Custom Fields Workflows

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.

ACF to Gutenberg Block Migrator

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 Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

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.

Add Claude design-system and accessibility workflows with UX/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.

Add executable smoke tests for shell scripts and CLIs before ref

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.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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