Communitygithub.com

marketing-campaign

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

¿Qué es marketing-campaign?

marketing-campaign is a Claude Code agent skill that end-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/marketing-campaign

Preguntar en tu IA favorita

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

Documentación

Marketing Campaign

Plan and execute launch campaigns that convert — not just campaigns that ship.

When to Activate

  • planning a product or feature launch
  • building a full content suite from a single product brief
  • defining positioning and campaign angle before writing any copy
  • orchestrating multiple content types across channels
  • reviewing copy for conversion quality and brand consistency

Non-Negotiables

  1. Define positioning before writing any copy. All copy flows from the angle.
  2. Research the audience before assuming you know their language or fears.
  3. Each deliverable must serve one clear purpose in the campaign arc.
  4. Specificity beats adjectives in every format and on every channel.
  5. The same voice must run across every channel and every piece.
  6. No copy ships without passing the quality gate.

Campaign Workflow

Phase 1: Research

Use market-research to:

  • profile the target audience (jobs-to-be-done, fears, language, alternatives they use)
  • map 3+ direct or adjacent competitors (positioning, gaps, messaging weaknesses)
  • identify 1–3 audience insights the campaign angle will exploit

Deliverable: a short research brief (audience profile + competitive summary + key insights).

Phase 2: Positioning

Produce:

  • core benefit statement (one sentence, no feature list, no jargon)
  • positioning formula: "[Product] helps [audience] [achieve outcome] by [mechanism]"
  • campaign angle: the specific tension, insight, or moment the whole campaign lives in
  • tone profile: lock before writing (delegate to brand-voice for durable, session-reusable voice capture)

Do not write any copy until positioning and angle are approved.

Phase 3: Content Production

Produce in this order — each layer informs the next:

  1. Landing page copy (all sections: hero, problem, solution, features, how it works, proof, CTA)
  2. Email sequence (each email has one purpose; follow the arc: problem → education → agitation → solution → proof → urgency → final CTA)
  3. Social posts (platform-native via content-engine; LinkedIn and X are different formats, not the same copy resized)
  4. Short-form video scripts (timestamp-blocked; written for screen and ear, not the page)
  5. Ad copy variants (3–4 variants testing different angles or audience segments)
  6. Content calendar (day-by-day schedule with channel, type, timing, and dependencies)

Phase 4: Review

Gate every deliverable:

  • 5-second test on all hero / above-fold copy (clear who it's for, what it does, why act now)
  • CTA audit (one per piece, specific, earned — not demanded)
  • Tone consistency check across all channels
  • Claim audit (every claim is specific and supportable)
  • Cross-channel consistency (ad claims match landing page; email body matches subject)

Output Contract

A full campaign delivers:

  1. Positioning brief — angle, core benefit statement, tone profile
  2. Landing page copy — hero, problem, solution, features, how it works, proof, CTA
  3. Email sequence — subject + preview + body + CTA for each email, labelled by day and purpose
  4. LinkedIn posts — 3+ platform-native posts with distinct angles
  5. X posts — 5+ standalone posts + 1 thread
  6. Short-form video scripts — 2+ timestamp-blocked scripts with visual direction notes
  7. Ad copy variants — short headline / long headline / body per variant
  8. Content calendar — day-by-day schedule with channel, content type, timing, and dependencies
  9. Copy review summary — flagged issues and open questions before anything goes live

Quality Gate

Before delivering any piece:

  • every deliverable sounds like the same author
  • no hollow superlatives or filler adjectives remain
  • every CTA is specific and earned (never "learn more" or "click here")
  • no copy is duplicated verbatim across platforms
  • hero copy passes the 5-second test
  • email subjects match email body (no bait-and-switch)
  • ad claims match landing page claims exactly
  • no copy would work unchanged for any other product in the category

Hard Bans

Delete and rewrite any:

  • "game-changing", "revolutionary", "world-class", "cutting-edge"
  • "In today's competitive landscape"
  • fake urgency not backed by a real deadline
  • hollow social proof without specifics ("thousands trust us")
  • generic CTAs ("learn more", "find out more", "click here")
  • copy that could be unplugged and dropped into a competitor's campaign unchanged

Related Skills

  • brand-voice — source-derived voice capture (run before content production)
  • content-engine — platform-native content production
  • crosspost — multi-platform distribution
  • market-research — audience and competitive intelligence
  • seo — on-page optimisation for landing page copy

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.

Skills relacionados