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Skill906 estrellas del repoactualizado 16d ago

ad-creative

The ad-creative skill generates platform-specific advertising copy variations for Google Ads RSA, Meta, LinkedIn, TikTok, and other channels. Use it when launching multi-platform campaigns that require tailored headlines, descriptions, and calls-to-action formatted to each platform's specifications, with quality scoring and compliance checking for each variation.

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git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro /tmp/ad-creative && cp -r /tmp/ad-creative/skills/ad-creative ~/.claude/skills/ad-creative
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SKILL.md

# /digital-marketing-pro:ad-creative

## Purpose

Generate high-performing ad copy variations tailored to specific platforms and formats. Each variation is scored for quality and compliance, with recommendations for testing strategy.

## Input Required

The user must provide (or will be prompted for):

- **Product/service**: What is being advertised
- **Platform(s)**: Google Ads, Meta (Facebook/Instagram), LinkedIn, TikTok, X, Pinterest
- **Ad format**: RSA, single image, carousel, video script, story, etc. For video ad scripts (6s bumper, 15s skippable, 30s spot, UGC-style), route to /digital-marketing-pro:video-script — its step 2.4 carries the per-format structural rules (the 5-second skip deadline, one-message bumpers, native-style disclosure) and its output passes the /check gate. This skill owns the copy layer around the video: headlines, descriptions, and CTAs.
- **Campaign objective**: Awareness, traffic, leads, conversions, app installs
- **Target audience**: Who the ads are for
- **Key offer/CTA**: Promotion, value prop, or desired action
- **Landing page URL**: Where the ad will drive traffic (optional)

## Process

1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
2. Identify platform-specific constraints: character limits, format requirements, policy restrictions
3. Generate 3-5 ad copy variations per platform, each with a distinct angle (benefit, urgency, social proof, curiosity, direct)
4. Score each variation on: brand alignment, clarity, emotional impact, CTA strength, policy compliance
5. Flag any potential policy violations (restricted claims, prohibited language)
6. Recommend A/B testing groupings and priority order
7. If landing page URL is provided, check message match between ad and page

## Output

Per platform, a set of ad copy variations including:

- Headlines, descriptions, and CTAs formatted to platform specifications
- Quality score (1-10) with reasoning per variation
- Policy compliance check with flagged issues
- A/B testing recommendation with hypothesis for each test
- Message match assessment (if landing page provided)
- Creative direction notes for visual/video assets (see AI image/video generation guidance below)

### AI image & video generation guidance (May 2026)

When the brief includes static visuals or short-form video, recommend the model that fits the use case and call out the compliance overhead:

| Asset type | Recommended model (May 2026) | When to use | Compliance note |
|---|---|---|---|
| Product hero stills, lifestyle photography, e-commerce tiles | **Google Nano Banana Pro** (Gemini 3 Pro Image, multi-image composition, character/object consistency) | Strong text rendering inside images (logos, on-pack copy), brand-character consistency across a campaign, high-fidelity product realism. | Outputs ship with SynthID watermarking by default; ALSO sign with C2PA via `/digital-marketing-pro:c2pa-metadata` before any EU distribution. |
| Short-form social video (≤8s reels, organic vertical) | **Gemini Veo 3.1** (synchronized native audio, longer/more coherent clips than Veo 3.0) | Reels, TikTok, Shorts cut-downs, ad-creative experimentation. | Synthetic-voice / synthetic-human content must carry a visible deepfake disclosure under EU Article 50 — see `skills/context-engine/compliance-rules.md` §1.1b. |
| Long-form video with native audio / multi-modal storytelling | **Gemini Omni** (multimodal generation, May 2026 I/O launch — text + image + audio + video unified) | Connected-content campaigns where a single brief produces a hero film, social cut-downs, audio version, and stills consistently. Best for brands with disciplined creative governance — Omni's range outpaces most brand-safety review processes. | Default Omni outputs carry SynthID + Gemini provenance markers. Add C2PA before EU publish. Run synthetic-person outputs past Legal — Omni's photoreal humans frequently hit "substantial AI manipulation" thresholds under Article 50. |
| Static image — fast iteration / mood-boarding | OpenAI gpt-image-2, Midjourney v7, Adobe Firefly | Internal mood boards, concept exploration. Not for shipped EU creative without C2PA. | None of these auto-embed C2PA — manually sign with `/digital-marketing-pro:c2pa-metadata` before EU publish. |

**Workflow recommendation:**

1. Brief the visual concept in this skill's output (subject, composition, brand-character constraints, on-pack text if any).
2. Hand the visual spec to whichever production track owns image/video — your design team, any AI image/video tool (the model table above maps use-case → generator), or a connected design platform (e.g. the Canva / Figma MCP connectors listed in `/digital-marketing-pro:integrations`). The spec is deliberately tool-agnostic: any production track can consume it unchanged.
3. Treat all AI-generated visuals as **Article 50 in-scope** until proven otherwise. The pre-publish gate (`/digital-marketing-pro:check`) blocks unsigned AI assets for EU-targeted campaigns.

## Agents Used

- **content-creator** — Ad copy generation, angle development, CTA crafting
- **media-buyer** — Platform specs, policy compliance, testing strategy
- **brand-guardian** — Voice alignment, compliance review, claim verification
ab-test-planSkill

Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on \"/digital-marketing-pro:ab-test-plan\", \"set up an A/B test\", \"how long should my test run\", \"calculate sample size for an experiment\", \"is this test result significant\". Reads the brand profile and past campaign-tracker results to avoid re-testing validated hypotheses; finished tests are evaluated with significance-tester.py by the cro-specialist agent.

add-integrationSkill

Walk through adding a custom MCP server integration to the plugin — searches npm for an existing MCP package (or scaffolds a custom server from the plugin's guide), generates the exact .mcp.json entry, sets up environment-variable credentials, tests connectivity, and documents the tools the new server exposes. Triggers on \"/digital-marketing-pro:add-integration\", \"connect Ahrefs to the plugin\", \"add a new MCP server\", \"integrate our internal API\", \"hook up Stripe data\". Reads the brand profile and agency credential profiles at ~/.claude-marketing/credentials/ to map client-specific keys; custom builds follow skills/context-engine/custom-mcp-guide.md.

aeo-auditSkill

Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization playbook behind a four-gate quality scorecard. Triggers on \"/digital-marketing-pro:aeo-audit\", \"does ChatGPT know about our brand\", \"check our AI search visibility\", \"how does Perplexity describe us\", \"are we showing up in AI Overviews\". Reads the brand profile; reconciles probes against GSC actuals via /digital-marketing-pro:gsc-ai-performance and defines the AI-visibility scoring standard reused by geo-monitor and share-of-voice.

aeo-geoSkill

Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content strategy. Triggers on \"/digital-marketing-pro:aeo-geo\", \"how do we get cited by AI\", \"optimize for AI Overviews\", \"fix our entity consistency\", \"do we need llms.txt\". Reads the brand profile, compliance rules, and industry benchmarks; its measurement counterpart is /digital-marketing-pro:aeo-audit, with GSC actuals via /digital-marketing-pro:gsc-ai-performance.

agency-dashboardSkill

Generate a portfolio-level dashboard across ALL client brands — per-client RAG health scores, campaign activity, budget pacing, aggregate KPIs, team utilization, pending approvals, upcoming deadlines, and an alerts panel — built for agency standups and weekly reviews. Triggers on \"/digital-marketing-pro:agency-dashboard\", \"how are all our clients doing\", \"portfolio health check\", \"budget pacing across accounts\", \"which accounts are at risk\". Enumerates every brand under ~/.claude-marketing/brands/ and pulls data via campaign-tracker.py, execution-tracker.py, and team-manager.py; drill into a single client with /digital-marketing-pro:performance-report or /digital-marketing-pro:client-report.

agency-operationsSubagent

Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.

analytics-analystSubagent

Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution reporting, performance analysis, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.

analytics-insightsSkill

Marketing measurement module — builds KPI trees per business model, reporting templates (weekly, monthly, QBR, campaign), anomaly root-cause diagnosis, MMM and incrementality guidance, dark-social tracking, and privacy-first cookieless measurement architecture, including the GA4 AI Assistant channel group for attributing AI-referred traffic. Triggers on \"/digital-marketing-pro:analytics-insights\", \"why did traffic drop\", \"define our KPIs\", \"design an executive dashboard\", \"can we do marketing mix modeling\". Reads the brand profile, industry benchmarks, and campaign history; pairs with /digital-marketing-pro:gsc-ai-performance and /digital-marketing-pro:aeo-audit to triangulate AI-surface impressions against actual traffic.