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API de Imágenes Dinámicas de Bannerbear

Genera gráficos para redes sociales e imágenes OG (Open Graph) de forma dinámica mediante la API REST de Bannerbear. Permite modificar plantillas, manejar capas de texto y generar URL firmadas para personalizar imágenes al instante.

¿Qué es API de Imágenes Dinámicas de Bannerbear?

Esta habilidad te permite integrar la API de Imágenes Dinámicas de Bannerbear en tu agente de IA para generar gráficos personalizados para redes sociales e imágenes Open Graph (OG) sobre la marcha. Es ideal para crear automáticamente imágenes de redes sociales, miniaturas de videos, banners y cualquier otro contenido visual dinámico a partir de plantillas. Soporta múltiples lenguajes de programación como Node.js, PHP (vía Composer) y Ruby (vía Gem). La API gestiona modificaciones de plantillas, capas de texto (incluyendo fuentes personalizadas) y generación de URL firmadas para personalización segura. También permite crear vistas previas en GIF animadas de baja resolución para videos, aunque la generación de videos puede tardar desde segundos hasta minutos. La habilidad verifica cuotas de uso y devuelve errores claros, como el código 402 cuando se agota la cuota de imágenes o videos.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/bannerbear-dynamic-image-api

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Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

¿Qué hace API de Imágenes Dinámicas de Bannerbear?

Genera gráficos para redes sociales e imágenes OG de forma dinámica mediante la API REST de Bannerbear. Permite modificar plantillas, manejar capas de texto y generar URL firmadas para personalizar imágenes al instante.

Instalación

Usa la ruta de instalación estándar que coincida con tu entorno:

  • $ npm install bannerbear
  • $ composer require yongfook/bannerbear
  • $ gem install bannerbear

Requisitos y notas importantes:

  • Node
  • gif_preview_url (cadena): Una vista previa en GIF de baja tasa de cuadros del video final. Requiere establecer create_gif_preview en true.
  • Este endpoint responde con 202 Accepted, después de lo cual tu video se encolará para generarse. El tiempo de renderizado depende de la duración y complejidad del video. Puede variar desde unos segundos hasta varios minutos.

Notas de uso básico:

  • Para verificar el estado de tu cuenta en cualquier momento, usa este endpoint. Responderá con tus niveles de cuota y uso actual. El uso se reinicia al inicio de cada mes.

  • 402 Payment Required — Has agotado tu cuota de imágenes y/o videos.

  • Ejemplo de solicitud

  • Fuente: https://developers.bannerbear.com/v2/

Documentación

Fuente

Individual skills in this repo

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

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ACF to Gutenberg Block Migrator

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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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