How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ads support?

ads works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ads is free to install and use. It is available from the open explainx.ai skill registry published by agricidaniel.

Where can I read ratings and reviews for ads?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ads?

Run `npx skills add https://github.com/agricidaniel/claude-ads --skill ads` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

ads▌

agricidaniel/claude-ads · updated May 6, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/agricidaniel/claude-ads --skill ads

0 commentsdiscussion

summary

Comprehensive ad account analysis across all major platforms (Google, Meta,

›LinkedIn, TikTok, Microsoft). Orchestrates 17 specialized sub-skills and
›10 agents (6 audit + 4 creative).

skill.md

Ads: Multi-Platform Paid Advertising Audit & Optimization

Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 17 specialized sub-skills and 10 agents (6 audit + 4 creative).

Quick Reference

Command	What it does
`/ads audit`	Full multi-platform audit with parallel subagent delegation
`/ads google`	Google Ads deep analysis (Search, PMax, YouTube)
`/ads meta`	Meta Ads deep analysis (FB, IG, Advantage+)
`/ads youtube`	YouTube Ads specific analysis
`/ads linkedin`	LinkedIn Ads deep analysis (B2B, Lead Gen)
`/ads tiktok`	TikTok Ads deep analysis (Creative, Shop, Smart+)
`/ads microsoft`	Microsoft/Bing Ads deep analysis (Copilot, Import)
`/ads creative`	Cross-platform creative quality audit
`/ads landing`	Landing page quality assessment for ad campaigns
`/ads budget`	Budget allocation and bidding strategy review
`/ads plan <business-type>`	Strategic ad plan with industry templates
`/ads apple`	Apple Search Ads (ASA) deep analysis
`/ads competitor`	Competitor ad intelligence analysis
`/ads dna <url>`	Extract brand DNA from website, outputs `brand-profile.json`
`/ads create`	Generate campaign concepts + copy briefs, outputs `campaign-brief.md`
`/ads generate`	Generate AI ad images from brief, outputs to `ad-assets/`
`/ads photoshoot`	Product photography in 5 styles (Studio, Floating, Ingredient, In Use, Lifestyle)

Context Intake (Required: Always Do This First)

Before any audit or analysis, collect this context. Without it, benchmarks will be generic and recommendations may be wrong for the user's situation.

Ask these questions upfront (combine into one message):

Industry / Business type: Which best describes you? SaaS · E-commerce · Local Service · B2B Enterprise · Info Products · Mobile App · Real Estate · Healthcare · Finance · Agency · Other
Monthly ad spend: Total budget and per-platform breakdown (approximate is fine)
Primary goal: Sales / Revenue · Leads / Demos · App Installs · Calls · Brand
Active platforms: Which platforms are you advertising on?

If the user provides data upfront (e.g. "audit my Google Ads, I spend $5k/mo on SaaS"), extract context from that and proceed without re-asking.

Use the provided context to:

Select the correct industry benchmarks from references/benchmarks.md
Apply budget-appropriate recommendations (e.g. Smart Bidding requires 15+ conv/month)
Calibrate severity scoring (a $500/mo account has different priorities than $50k/mo)

Orchestration Logic

When the user invokes /ads audit, delegate to subagents in parallel:

Collect context (see Context Intake above; do this first)
Collect account data (exports, screenshots, or pasted metrics)
Detect business type and identify active platforms
Spawn subagents via Task tool with context: fork: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance
Validate: verify each subagent returned valid JSON scores with required fields before aggregating
Collect results and generate unified report with Ads Health Score (0-100)
Create prioritized action plan with Quick Wins

For individual commands (/ads google, /ads meta, etc.), load the relevant sub-skill directly. Still collect context first if not already provided.

Creative Workflow

Sequential pipeline (each step is independently runnable):

/ads dna <url> → brand-profile.json in current directory
/ads create → reads profile + optional audit results → campaign-brief.md
/ads generate → reads brief + profile → ad-assets/ directory
/ads photoshoot → standalone or reads profile for style injection

Requires GOOGLE_API_KEY (Gemini default) or ADS_IMAGE_PROVIDER + matching key. If API key is missing, /ads generate and /ads photoshoot display setup instructions and exit; they never fail silently.

Industry Detection

Detect business type from ad account signals:

SaaS: trial_start/demo_request events, pricing page targeting, long attribution windows
E-commerce: purchase events, product catalog/feed, Shopping/PMax campaigns
Local Service: call extensions, location targeting, store visits, directions events
B2B Enterprise: LinkedIn Ads active, ABM lists, high CPA tolerance ($50+), long sales cycle
Info Products: webinar/course funnels, lead gen forms, low-ticket offers
Mobile App: app install campaigns, in-app events, deep linking
Real Estate: listing feeds, property-specific landing pages, geo-heavy targeting
Healthcare: HIPAA compliance flags, healthcare-specific ad policies
Finance: Special Ad Categories declared, financial products compliance
Agency: multiple client accounts, white-label reporting needs

Quality Gates

Hard rules (never violate these):

Never recommend Broad Match without Smart Bidding (Google)
3x Kill Rule: flag any ad group/campaign with CPA >3x target for pause
Budget sufficiency: Meta ≥5x CPA per ad set, TikTok ≥50x CPA per ad group
Learning phase: never recommend edits during active learning phase
Compliance: always check Special Ad Categories for housing/employment/credit/finance
Creative: never run silent video ads on TikTok (sound-on platform)
Attribution: default to 7-day click / 1-day view (Meta), data-driven (Google)

Reference Files

Load these on-demand as needed; do NOT load all at startup.

Path resolution: All references are installed at ~/.claude/skills/ads/references/. When sub-skills or agents reference ads/references/*.md, resolve to ~/.claude/skills/ads/references/*.md.

references/scoring-system.md: Weighted scoring algorithm and grading thresholds
references/benchmarks.md: Industry benchmarks by platform (CPC, CTR, CVR, ROAS)
references/bidding-strategies.md: Bidding decision trees per platform
references/budget-allocation.md: Platform selection matrix, scaling rules, MER
references/platform-specs.md: Creative specifications across all platforms
references/conversion-tracking.md: Pixel, CAPI, EMQ, ttclid implementation
references/compliance.md: Regulatory requirements, ad policies, privacy
references/google-audit.md: 74-check Google Ads audit checklist
references/meta-audit.md: 46-check Meta Ads audit checklist
references/linkedin-audit.md: 25-check LinkedIn Ads audit checklist
references/tiktok-audit.md: 25-check TikTok Ads audit checklist
references/microsoft-audit.md: 20-check Microsoft Ads audit checklist
references/brand-dna-template.md: Brand DNA schema and extraction guide
references/image-providers.md: Provider config (Gemini/OpenAI/Stability/Replicate)
references/google-creative-specs.md: PMax/RSA/YouTube generation-ready specs
references/meta-creative-specs.md: Feed/Reels/Stories specs + safe zones
references/linkedin-creative-specs.md: Single image/video B2B constraints
references/tiktok-creative-specs.md: 9:16 only + safe zone overlay
references/youtube-creative-specs.md: Skippable/Bumper/Shorts/Thumbnail
references/microsoft-creative-specs.md: Multimedia Ads + RSA subset
references/gaql-notes.md: GAQL field compatibility, deduplication patterns, filter scope best practices
references/voice-to-style.md: Brand voice axis to visual attribute mapping for image generation
references/copy-frameworks.md: 6 ad copy frameworks (AIDA, PAS, BAB, 4P, FAB, Star-Story-Solution)

Scoring Methodology

Ads Health Score (0-100)

Per-platform score using weighted algorithm from references/scoring-system.md. Cross-platform aggregate weighted by budget share:

Aggregate = Sum(Platform_Score x Platform_Budget_Share)

Grading

Grade	Score	Action Required
A	90-100	Minor optimizations only
B	75-89	Some improvement opportunities
C	60-74	Notable issues need attention
D	40-59	Significant problems present
F	<40	Urgent intervention required

Priority Levels

Critical: Revenue/data loss risk (fix immediately)
High: Significant performance drag (fix within 7 days)
Medium: Optimization opportunity (fix within 30 days)
Low: Best practice, minor impact (backlog)

Sub-Skills

This skill orchestrates 17 specialized sub-skills:

ads-audit: Full multi-platform audit with parallel delegation
ads-google: Google Ads deep analysis (Search, PMax, YouTube)
ads-meta: Meta Ads deep analysis (FB, IG, Advantage+)
ads-youtube: YouTube Ads specific analysis
ads-linkedin: LinkedIn Ads deep analysis
ads-tiktok: TikTok Ads deep analysis
ads-microsoft: Microsoft/Bing Ads deep analysis
ads-creative: Cross-platform creative quality audit
ads-landing: Landing page quality for ad campaigns
ads-budget: Budget allocation and bidding strategy
ads-plan: Strategic ad planning with industry templates
ads-competitor: Competitor ad intelligence
ads-apple: Apple Search Ads (ASA) deep analysis
ads-dna: Brand DNA extraction from website URL
ads-create: Campaign concepts, copy decks, creative briefs
ads-generate: AI image generation with pluggable providers
ads-photoshoot: Product photography in 5 professional styles

Subagents

For parallel analysis during full audits:

audit-google: Google Ads checks (G01-G74)
audit-meta: Meta Ads checks (M01-M46)
audit-creative: Creative quality for LinkedIn, TikTok, Microsoft
audit-tracking: Conversion tracking health across all platforms
audit-budget: Budget, bidding, structure for LinkedIn, TikTok, Microsoft
audit-compliance: Compliance, settings, performance across all platforms
creative-strategist: Campaign concepts from brand profile + audit results (Opus, maxTurns: 25)
visual-designer: Image generation with brand injection via generate_image.py (Sonnet, maxTurns: 30)
copy-writer: Headlines, CTAs, primary text within platform limits (Sonnet, maxTurns: 20)
format-adapter: Asset dimension validation and spec compliance reporting (Haiku, maxTurns: 15)

how to use ads

How to use ads on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add ads

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/agricidaniel/claude-ads --skill ads

The skills CLI fetches ads from GitHub repository agricidaniel/claude-ads and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ads

Reload or restart Cursor to activate ads. Access the skill through slash commands (e.g., /ads) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.5★★★★★69 reviews

★★★★★Dhruvi Jain· Dec 28, 2024
I recommend ads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Lucas Chen· Dec 20, 2024
Useful defaults in ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Chinedu Liu· Dec 16, 2024
Solid pick for teams standardizing on skills: ads is focused, and the summary matches what you get after install.
★★★★★Lucas Zhang· Dec 12, 2024
ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Naina Chen· Dec 4, 2024
Keeps context tight: ads is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Oshnikdeep· Nov 19, 2024
ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Chinedu Nasser· Nov 11, 2024
ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Chinedu Farah· Nov 7, 2024
ads has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Jin Brown· Nov 3, 2024
Useful defaults in ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Advait Verma· Oct 26, 2024
ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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