Install
$ agentstack add skill-zubair-trabzada-ai-ads-claude-ads-quick ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
60-Second Ad Readiness Snapshot
Skill Purpose
Perform a rapid ad readiness assessment of a website or business without launching subagents. Fetches the homepage, evaluates value proposition strength, offer clarity, CTA quality, landing page readiness, and trust signal presence. Outputs a compact scorecard with a platform recommendation and estimated starting budget. The entire output must be under 40 lines.
When to Use
- User wants a quick gut-check before investing in a full ad strategy
- User asks "should I run ads?" or "am I ready for ads?"
- User wants a fast assessment without waiting for the full 5-agent analysis
- User is exploring whether paid advertising makes sense for their business
- Triggered by
/ads quick
When NOT to Use
- User wants a detailed, comprehensive strategy (use
/ads strategyinstead) - User already has ad data to analyze (use
/ads auditinstead) - User needs creative briefs (use
/ads creativeinstead) - No URL is provided (this skill requires a URL to fetch)
How to Execute
Step 1: Fetch and Analyze the Homepage
Use WebFetch to retrieve the homepage content. Extract these elements:
WebFetch(url) -> Analyze:
1. Headline / Hero Section — What is the main promise?
2. Value Proposition — Is it clear what they sell and why it matters?
3. CTA(s) — What action are they asking visitors to take?
4. Offer — Is there a specific offer (pricing, free trial, discount)?
5. Trust Signals — Reviews, testimonials, badges, client logos, certifications?
6. Visual Quality — Professional images, consistent branding, modern design?
7. Mobile Indicators — Responsive hints, fast-loading signals?
8. Contact Info — Phone, email, chat, address visible?
Step 2: Score 5 Dimensions
Rate each dimension on a 0-20 scale:
1. Value Proposition Strength (0-20) | Score | Criteria | |-------|----------| | 17-20 | Crystal clear what they do, for whom, and why it's better. Unique mechanism stated. | | 13-16 | Clear offering, target audience implied, some differentiation. | | 9-12 | Generic value prop, could apply to many businesses. | | 5-8 | Vague or buried value proposition. Requires effort to understand. | | 0-4 | No clear value proposition. Visitor would not know what this business does. |
2. Offer Clarity (0-20) | Score | Criteria | |-------|----------| | 17-20 | Specific offer with pricing, clear next step, and urgency/scarcity element. | | 13-16 | Offer is visible but lacks urgency or specific pricing. | | 9-12 | Generic "contact us" or "learn more" without a defined offer. | | 5-8 | No clear offer — visitor must dig to find what to do next. | | 0-4 | No offer whatsoever. No pricing, no CTA, no next step. |
3. CTA Quality (0-20) | Score | Criteria | |-------|----------| | 17-20 | Strong, specific CTA above the fold. Action-oriented language. Multiple CTAs in logical places. | | 13-16 | CTA exists above the fold but is generic ("Learn More", "Contact Us"). | | 9-12 | CTA exists but is below the fold or hard to find. | | 5-8 | Weak or confusing CTAs. Multiple competing actions with no hierarchy. | | 0-4 | No CTA visible. No clear path for the visitor to take action. |
4. Landing Page Readiness (0-20) | Score | Criteria | |-------|----------| | 17-20 | Fast-loading, mobile-friendly, professional design, conversion-optimized layout. | | 13-16 | Good design, loads reasonably, but not optimized for conversions. | | 9-12 | Functional but dated design, some UX issues, average load time. | | 5-8 | Slow, outdated, poor mobile experience, or cluttered layout. | | 0-4 | Broken, extremely slow, or unprofessional. Would hurt ad performance. |
5. Trust Signal Presence (0-20) | Score | Criteria | |-------|----------| | 17-20 | Multiple trust signals: reviews with star ratings, testimonials with names/photos, client logos, certifications, media mentions. | | 13-16 | Some trust signals present (reviews or testimonials, but not both). | | 9-12 | Minimal trust signals — maybe a generic "trusted by" without specifics. | | 5-8 | Almost no social proof. Only basic contact info as trust signal. | | 0-4 | No trust signals. Anonymous website with no credibility markers. |
Ad Readiness Score = Sum of all 5 dimensions (0-100)
Step 3: Determine Platform Recommendation
Based on the business type and readiness score, recommend the best starting platform:
| Business Type | Primary Platform | Why | Min Budget/Month | |---------------|-----------------|-----|-----------------| | Local Service | Google Ads (Search) | High-intent search traffic | $500-$1,500 | | E-commerce | Meta (FB/IG) | Visual products, impulse purchases | $1,000-$3,000 | | SaaS B2B | LinkedIn + Google | Professional targeting, search intent | $2,000-$5,000 | | SaaS B2C | Meta + Google | Broad reach + search capture | $1,000-$3,000 | | Restaurant | Meta (Local) | Visual food content, local targeting | $300-$800 | | Course/Creator | YouTube + Meta | Video content, retargeting | $1,000-$2,500 | | Agency/Consulting | LinkedIn + Google | B2B targeting, authority | $1,500-$4,000 |
Secondary Platform Recommendation: After the primary platform is established (30-60 days), recommend a secondary platform: | Primary | Secondary | Why Add It | |---------|-----------|-----------| | Google Search | Meta (retargeting) | Capture search visitors who did not convert | | Meta | Google Search | Catch high-intent searchers your social ads prompted | | LinkedIn | Google Search | Capture branded searches from LinkedIn awareness | | YouTube | Meta | Retarget video viewers with direct response ads |
Step 4: Estimate CPC and CPA Ranges
Provide realistic cost expectations based on industry and platform:
CPC Ranges by Industry and Platform: | Industry | Google Search CPC | Meta CPC | LinkedIn CPC | TikTok CPC | |----------|------------------|----------|-------------|-----------| | Local Services | $3-$12 | $0.80-$2.50 | N/A | $0.50-$1.50 | | E-commerce | $0.50-$3 | $0.40-$1.50 | N/A | $0.20-$0.80 | | SaaS B2B | $3-$15 | $1.50-$4.00 | $4-$12 | N/A | | SaaS B2C | $1-$5 | $0.50-$2.00 | N/A | $0.30-$1.00 | | Education/Courses | $1-$6 | $0.60-$2.00 | $3-$8 | $0.25-$0.80 | | Restaurant/Hospitality | $0.50-$3 | $0.30-$1.00 | N/A | $0.20-$0.60 | | Agency/Consulting | $3-$10 | $1.00-$3.50 | $5-$12 | N/A |
Expected CPA by Business Type: | Business Type | Low CPA | Avg CPA | High CPA | Notes | |---------------|---------|---------|----------|-------| | Local Service (lead) | $15 | $35 | $75 | Phone call or form submission | | E-commerce (purchase) | $10 | $30 | $60 | Depends heavily on AOV | | SaaS B2B (demo/trial) | $50 | $150 | $300 | Higher LTV justifies higher CPA | | SaaS B2C (sign-up) | $5 | $25 | $60 | Free trial vs paid sign-up | | Course (enrollment) | $20 | $60 | $120 | Webinar funnel reduces CPA | | Restaurant (visit) | $3 | $10 | $25 | Tracked via offer redemption |
Step 5: Competitive Quick Check
Before finalizing the snapshot, do one quick competitive signal check:
WebSearch query:
"[Industry]" "[City]" ads OR advertising OR sponsored
Note: Are competitors actively advertising? If yes, the market is validated but competitive. If no, there may be an opportunity or the market may not support paid ads.
Step 6: Generate Readiness Verdict
| Score Range | Verdict | Recommendation | |-------------|---------|---------------| | 80-100 | Ready to Launch | Start ads immediately. Focus on testing and scaling. | | 60-79 | Almost Ready | Fix 1-2 gaps first, then launch. Estimate 1-2 weeks of prep. | | 40-59 | Needs Work | Significant improvements needed before ads will be effective. 2-4 weeks. | | 20-39 | Not Ready | Major landing page and offer issues. Fix fundamentals first. 4-8 weeks. | | 0-19 | Rebuild Required | Website/offer needs major overhaul before any ad spend. |
Output Format
Output directly to terminal. Do NOT save a file. Keep output under 40 lines.
============================================
AD READINESS SNAPSHOT: [Business Name]
URL: [url]
============================================
AD READINESS SCORE: [XX]/100 — [Verdict]
SCORECARD:
Value Proposition ... [XX]/20 [status word]
Offer Clarity ....... [XX]/20 [status word]
CTA Quality ......... [XX]/20 [status word]
Landing Page ........ [XX]/20 [status word]
Trust Signals ....... [XX]/20 [status word]
TOP 3 STRENGTHS:
1. [strength]
2. [strength]
3. [strength]
TOP 3 GAPS TO FIX:
1. [gap + specific fix]
2. [gap + specific fix]
3. [gap + specific fix]
RECOMMENDED PLATFORM: [Platform]
ESTIMATED STARTING BUDGET: $[X]-$[Y]/month
EXPECTED CPC RANGE: $[X]-$[Y]
NEXT STEP: [One specific action to take]
Full strategy: /ads strategy [url]
============================================
Important Rules
- This is a SPEED tool — complete the entire analysis in under 60 seconds
- Do NOT launch any subagents — this is a single-pass analysis
- Output must be under 40 lines — be concise
- Do NOT save a file — output to terminal only
- Always end with a recommendation to run
/ads strategyfor the full analysis - If the homepage cannot be fetched, explain the issue and suggest the user provide a different URL
- Be honest about readiness — do not inflate scores to be encouraging
- Budget recommendations should be realistic monthly minimums, not aspirational
- Always consider the business type when recommending platforms
- One specific next step is more valuable than a list of generic advice
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zubair-trabzada
- Source: zubair-trabzada/ai-ads-claude
- License: MIT
- Homepage: https://www.skool.com/aiworkshop
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.