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affaan-m/todo-marketing-claude-code

Name: affaan-m/todo-marketing-claude-code
Author: Community

¿Qué es todo-marketing-claude-code?

Esta habilidad para asistentes de IA como Claude Code proporciona una capa de orquestación completa para la planificación y ejecución de campañas de marketing multicanal. Está diseñada para gestionar todo el flujo de trabajo de un lanzamiento de producto, desde la investigación inicial de la audiencia y la definición del posicionamiento y ángulo de la campaña, hasta la creación de contenido específico para cada canal. La herramienta unifica la producción de textos para páginas de aterrizaje, secuencias de correo electrónico, publicaciones en redes sociales, textos de anuncios publicitarios, guiones para videos cortos y calendarios de contenido. Es particularmente útil para equipos de marketing y desarrolladores que necesitan automatizar y estandarizar la generación de materiales para lanzamientos de productos complejos, asegurando coherencia en todos los puntos de contacto. Al integrar esta habilidad, los usuarios pueden reducir significativamente el tiempo de planificación y ejecución, manteniendo un enfoque estratégico y alineado con los objetivos de la campaña.

Compatible con✓Claude Code~Codex CLI~Cursor

npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/manim-video

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Documentación

¿Qué hace todo-marketing-claude-code?

Planificación y ejecución integral de campañas de marketing. Cubre investigación de audiencia, posicionamiento, definición de ángulo de campaña, texto de página de aterrizaje, secuencias de correo electrónico, publicaciones en redes sociales, texto de anuncios, guiones de video cortos y calendarios de contenido. Úsalo como capa de orquestación para lanzamientos multicanal. Úsalo al planificar o ejecutar un lanzamiento multicanal de producto, o al producir texto para páginas de aterrizaje, correos electrónicos, publicaciones en redes sociales o anuncios.

Individual skills in this repo

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

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

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