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ads-creative

@naveedharri · 收录于 1 周前

Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Collects brand context and creates branding.md if missing. Uses infographic-v2 for generating ad creatives. Use when user says "creative audit", "ad creative", "creative fatigue", "ad copy", "ad design", or "creative review".

适合你,如果你需要跨平台检查广告素材质量并提升投放效果

/ 下载安装
ads-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 naveedharri/benai-skills/ads-creative
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- naveedharri/benai-skills/ads-creative
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify naveedharri/benai-skills/ads-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 · 946a3d7

Cross-Platform Creative Quality Audit

Process
  1. Brand context check — look for ./branding.md. If not found, run the Brand Info Collection flow below before proceeding.
  2. Collect creative assets or performance data from active platforms
  3. Read ads/references/platform-specs.md for creative specifications
  4. Read ads/references/creative-volume.md for per-platform volume and refresh requirements
  5. Read ads/references/benchmarks.md for CTR/engagement benchmarks
  6. Read ads/references/scoring-system.md for weighted scoring algorithm
  7. Evaluate creative quality per platform
  8. Run Brand Consistency Audit using branding.md (advisory, not scored)
  9. Assess cross-platform creative consistency
  10. Generate production priority recommendations
  11. Offer to generate new creatives using /infographic-v2 for any flagged gaps

Brand Info Collection

Run this at the start if ./branding.md does not exist in the project root.

Goal: Extract the brand's actual styling, copy, and identity — primarily from their website — to personalize the creative audit and enable on-brand creative generation via infographic-v2.

Step 1: Ask for brand name and website
"Before I audit your creatives, I need your brand context to check consistency. What's your brand name and website URL?"

Ask for the brand name and website URL first. If the user provides a URL, immediately run the website extraction (step 2) before asking any further questions.

Step 2: Website extraction (when URL provided)

Do not guess or assume anything. Extract the actual values from the live website.

2a — Fetch the homepage

Use WebFetch on the homepage URL. Extract ALL of the following:

Visual identity:

  • All colors used prominently: backgrounds, buttons, headers, links, text, borders, footer. Report exact hex values. Identify which is primary (most prominent brand color, usually on CTAs and headers), secondary, accent, background, and text color.
  • Font families: read the actual font-family declarations used on headings and body text. Look in CSS, <link> tags for Google Fonts / Typekit / custom font URLs, and inline styles. Report the exact font names (e.g., "Plus Jakarta Sans", "DM Sans", "Geist"), not generic fallbacks like "sans-serif".
  • Logo: describe the logo from the header/nav. Note if it's text-based, icon-based, or both.
  • Visual style: describe what you observe — minimal with whitespace? Bold with saturated colors? Dark mode? Gradient-heavy? Illustration-driven? Corporate?
  • Button styles: rounded, square, pill-shaped? What color? What text color on buttons?
  • Spacing and density: tight and information-dense, or airy and spacious?

Copy and messaging:

  • Tagline / slogan from the hero section
  • Hero headline: the main H1 or hero text
  • Value proposition: what they do and why it matters
  • Key benefits: any benefit sections, feature highlights, selling points
  • Social proof: testimonials, customer logos, metrics, awards, trust badges, star ratings
  • CTAs: every call-to-action button text on the page
  • Navigation items: main nav labels reveal product/service categories

Brand voice signals:

  • Tone of the copy: formal or casual? Technical or plain? Playful or serious?
  • Person: first person ("We help...") or second person ("You can...")?
  • Specific words/phrases: any repeated brand language, trademarked terms
2b — Fetch additional pages (if needed)

If the homepage left gaps, also fetch:

  • /about or /about-us — company story, mission, team, more voice signals
  • /pricing — pricing model (free trial, freemium, tiers, contact-us)

Only fetch if there are genuine gaps. Don't fetch for the sake of it.

2c — Present extraction to user

Show everything extracted clearly:

Here's what I found on [website]:

  Brand: [name]
  Tagline: "[extracted tagline]"
  Industry: [detected industry]
  Business model: [detected model]

  Colors:
    Primary:    [name] #[hex] — used on [CTAs, headers, etc.]
    Secondary:  [name] #[hex] — used on [subheadings, etc.]
    Accent:     [name] #[hex] — used on [highlights, badges, etc.]
    Background: #[hex]
    Text:       #[hex]

  Fonts:
    Headings: [exact font name]
    Body:     [exact font name]

  Visual style: [description of what you observed]
  Button style: [pill/rounded/square], [color], [hover behavior if visible]

  Voice: [formal/casual], [serious/playful], [technical/simple]
  Hero: "[exact hero headline]"
  Value prop: "[extracted value proposition]"
  CTAs found: "[CTA 1]", "[CTA 2]", "[CTA 3]"
  Social proof: [what's shown — logos, metrics, testimonials]

Does this look right? Anything to correct or add?

The user confirms or corrects. Only after confirmation, proceed with remaining questions.

Step 3: Fill gaps with questions

After website extraction, only ask about things that could not be determined from the website. Skip any section where the website gave a clear answer.

Likely still needed (websites rarely cover these):

  • Target audience: who they sell to (job title/role, age), pain points, buying triggers, where they spend time online
  • Ad-specific guidelines: confirm extracted CTAs, pricing in ads?, required elements (trust badges, ratings), anything forbidden
  • Brand voice refinement (only if ambiguous from the site): words they always/never use

Do NOT re-ask about colors, fonts, tagline, visual style, or value proposition if the website extraction already captured them.

Step 4: No-URL fallback

If the user does not provide a website URL, collect everything manually:

  1. Brand colors — primary, secondary, accent (hex codes)
  2. Typography — headline and body fonts
  3. Visual style — clean/minimal, bold/colorful, professional, playful, premium
  4. Tagline / value proposition
  5. Brand voice — formal vs casual (1-10), serious vs playful, technical vs simple
  6. Target audience — who they sell to, main pain points
  7. Approved CTAs
  8. Anything forbidden in ads
Step 5: Save branding.md

Write ./branding.md in the project root using the canonical format from ads/references/brand-context.md.

Every value in branding.md must come from the website extraction or the user's direct answers. Never fill in defaults or placeholders. If a field has no data, leave it blank or omit the section.

Validate before writing:

  • Brand name is not empty
  • At least one color with hex value exists
  • At least one audience description exists
  • Business model is identified
Step 6: Confirm and continue
Brand context saved: ./branding.md

  Brand: [name]
  Colors: [primary hex] [secondary hex] [accent hex]
  Fonts: [heading font] / [body font]
  Voice: [tone summary]
  Audience: [persona summary]

Proceeding with creative audit...

Then continue with the normal creative audit flow (step 2 onward in the Process section).


Per-Platform Assessment
Google Ads Creative
  • RSA: ≥8 unique headlines, ≥3 descriptions per ad group
  • RSA ad strength: "Good" or "Excellent"
  • Pin usage: minimal and strategic (over-pinning kills RSA flexibility)
  • Extensions: sitelinks (≥4), callouts (≥4), structured snippets, image
  • PMax asset groups: text + image + video + optional product feed
  • YouTube: video quality, hook, subtitles (see ads-youtube sub-skill)
Meta Ads Creative
  • Format diversity: ≥3 formats active (image, video, carousel, collection)
  • Creative volume: Standard ≥5 per ad set (ideal 5-8 for Andromeda); ASC ≥50 (ideal 50-150)
  • Fatigue detection: CTR declining >20% over 14 days = FAIL; top brands refresh every 10.4 days
  • Video length: 15s max Stories/Reels, 30s max Feed
  • UGC/testimonial content tested
  • Advantage+ Creative enhancements enabled
  • Headline under 40 chars, primary text under 125 chars
LinkedIn Creative
  • Thought Leader Ads active, ≥30% budget for B2B
  • Format diversity: ≥2 formats tested (single image, carousel, video, document)
  • Video ads tested
  • Creative refresh: every 4-6 weeks
  • Professional tone appropriate for platform
TikTok Creative
  • ≥6 creatives per ad group (Critical; top performers: 10-20/campaign; Smart+ launch: ≥4)
  • All video 9:16 vertical 1080x1920 (non-negotiable)
  • Native-looking content (not corporate)
  • Hook in first 1-2 seconds
  • Fatigue onset: 3-5 days; typical lifespan: 7-10 days; refresh every 10-14 days
  • No creative active >7 days with declining CTR; hard ceiling: 30 days regardless
  • Spark Ads tested (~3% CTR vs ~2% standard)
  • Sound-on optimization (never silent)
  • Safe zone compliance: X:40-940, Y:150-1470
  • Trending audio used
Microsoft Creative
  • RSA: ≥8 headlines, ≥3 descriptions
  • Multimedia Ads tested (unique rich format)
  • Ad copy optimized for Bing demographics (older, higher income, professional)
  • Action Extension utilized (unique to Microsoft)
  • Filter Link Extension tested
Creative Fatigue Detection
Signals of Fatigue

| Signal | Threshold | Action | |--------|-----------|--------| | CTR declining | >20% over 14 days | Refresh creative | | Frequency (Meta) | >5.0 prospecting, >12.0 retargeting | New audience or creative | | Watch time declining (TikTok) | <3s average | New hook needed | | QS declining (Google) | Drop of 2+ points | Refresh ad copy | | Engagement rate drop | >30% decline | Full creative overhaul |

Refresh Cadence by Platform

| Platform | Recommended Refresh | |----------|-------------------| | Google Search | Every 8-12 weeks | | Meta | Every 10-14 days (top brands avg 10.4 days); hard ceiling 90 days | | LinkedIn | Every 2-4 weeks; 80/20 winner/testing split | | TikTok | Every 10-14 days (fatigue onset 3-5 days, lifespan 7-10 days); hard ceiling 30 days | | Microsoft | Every 8-12 weeks | | YouTube | Every 4-8 weeks |

Format Diversity Matrix

Evaluate which formats are active per platform:

| Format | Google | Meta | LinkedIn | TikTok | Microsoft | |--------|--------|------|----------|--------|-----------| | Static Image | RSA image ext | ✅ | ✅ | ❌ | Multimedia | | Video | YouTube, PMax | ✅ | ✅ | ✅ (required) | ❌ | | Carousel | ❌ | ✅ | ✅ | ❌ | ❌ | | Collection | ❌ | ✅ | ❌ | ❌ | ❌ | | Document | ❌ | ❌ | ✅ | ❌ | ❌ | | Shopping | PMax, Shopping | Catalog | ❌ | Shop | Shopping |

Universal Creative Best Practices
Cross-Platform Safe Zone
  • 900x1000px usable area works across all vertical placements
  • Keep critical elements centered and within safe margins
  • Test on mobile devices (75%+ of ad impressions are mobile)
Ad Copy Principles
  • Lead with benefit, not feature
  • Include clear CTA (what should they do next?)
  • Match ad message to landing page (message match)
  • Use numbers and specifics over vague claims
  • Test emotional vs rational appeals
Video Production Standards
  • H.264 codec, AAC audio, MP4 container
  • Minimum 720p (1080p preferred)
  • Subtitles/captions always (accessibility + sound-off viewing)
  • Brand mention within first 5s (awareness) or at CTA (performance)
Brand Consistency Audit (Advisory)

Using ./branding.md, evaluate these dimensions. Results are advisory only — they appear as "Brand Consistency Notes" in the report but are NOT included in the health score.

| Dimension | What to Check | |-----------|--------------| | Color compliance | Ad visuals use brand primary/secondary colors (hex match) | | Typography | Headlines and body text match brand font guidelines | | Tone alignment | Ad copy matches brand voice dimensions (formal/casual, etc.) | | CTA consistency | CTAs match approved CTA list from branding.md | | Visual style | Photography/illustration style matches brand guidelines | | Forbidden elements | No forbidden words or elements present in ads | | Audience match | Messaging addresses documented persona pain points |

Creative Generation with Infographic v2

After the audit, when the production priority list identifies creatives to produce (static images, infographics, data visuals for ads), offer to generate them using /infographic-v2.

Flow:

  1. Identify the highest-priority static creative gaps from the audit
  2. Ask: "I can generate ad creatives for the top gaps using the infographic tool. Want me to start with [highest priority gap]?"
  3. If yes, invoke /infographic-v2 — it will pick up ./branding.md for brand-consistent output
  4. The infographic skill handles concept selection, visualization approach, and generation
  5. After generation, return to the next creative gap or wrap up

What infographic-v2 uses from branding.md:

  • Brand colors → color palette for the infographic
  • Typography → font selection
  • Visual style → style anchors
  • Brand voice → headline and copy tone
  • Approved CTAs → CTA text in ad creatives
Output
Creative Quality Report
Cross-Platform Creative Health

Google:     ████████░░  X/X checks passing
Meta:       ██████████  X/X checks passing
LinkedIn:   ███████░░░  X/X checks passing
TikTok:     █████░░░░░  X/X checks passing
Microsoft:  ████████░░  X/X checks passing
Deliverables
  • CREATIVE-AUDIT-REPORT.md — Per-platform creative assessment
  • Fatigue alerts (any creative past refresh cadence)
  • Format diversity gaps per platform
  • Production priority list (most impactful creative to produce next)
  • Quick Wins (format conversions, CTA changes, Spark Ads setup)
  • Generated ad creatives via infographic-v2 (if user opts in)
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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