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ad-creative

@indranilbanerjee · 收录于 1 周前

Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.

适合你,如果你需要为不同广告平台快速生成高质量文案。

/ 下载安装
ad-creative.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add indranilbanerjee/digital-marketing-pro/ad-creative
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- indranilbanerjee/digital-marketing-pro/ad-creative
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify indranilbanerjee/digital-marketing-pro/ad-creative
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · ba1468e

/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.
  • 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 2.5 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-1, 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 — typically SocialForge (/socialforge:image for stills, /socialforge:video for short-form, with Vertex AI / Nano Banana / Veo wired up via /socialforge:setup) or an external creative team.
  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
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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