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Ecommerce Ppc Strategy Planner

OrganizationPopular
nexscope-ai
ecommerce-ppc-strategy-planner

Cross-platform PPC strategy planner for ecommerce businesses. Analyzes your product and margins, recommends the right advertising platforms (Google Ads, Meta Ads, TikTok Ads), calculates ROAS targets, allocates budget across channels, and generates platform-specific campaign briefs with ad copy and creative direction. Two modes: (A) Build — design a multi-platform ad strategy from scratch, (B) Optimize — audit existing cross-platform campaigns and reallocate budget. Works for Shopify, WooCommerce, standalone stores, and marketplace sellers expanding to external traffic. No API key required.

Overview

Publishernexscope-ai
RepositoryeCommerce-Skills
Skill nameecommerce-ppc-strategy-planner
Stars
1K
Forks
134
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nexscope-ai on GitHub. Read the source before you install it.

Installation

Install the Ecommerce Ppc Strategy Planner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nexscope-ai/eCommerce-Skills/tree/main/ecommerce-ppc-strategy-planner
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git /tmp/eCommerce-Skills
mkdir -p .claude/skills
cp -r /tmp/eCommerce-Skills/ecommerce-ppc-strategy-planner .claude/skills/ecommerce-ppc-strategy-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecommerce Ppc Strategy Planner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecommerce Ppc Strategy Planner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecommerce Ppc Strategy Planner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

E-Commerce PPC Strategy Planner 📊

Plan your cross-platform advertising strategy: which platforms to use, how much to spend on each, and what campaigns to run. Generates actionable briefs for Google Ads, Meta Ads, and TikTok Ads — with ad copy and creative direction included.

Installation

bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-ppc-strategy-planner -g

Two Modes

ModeWhen to UseInputOutput
A — BuildStarting ads for the first timeProduct info + budget + marginsPlatform recommendation + budget split + campaign briefs + ad copy
B — OptimizeRunning ads but want better resultsPer-platform ROAS/CPA dataCross-platform audit + budget reallocation + optimization actions

Capabilities

  • ROAS financial framework: Calculate break-even ROAS, target ROAS, and max CPA from product margins — the foundation for all platform decisions
  • Platform recommendation: Match your product type to the right ad channels (search-intent → Google, visual/impulse → Meta, demo/novelty → TikTok)
  • Cross-platform budget allocation: Split budget across channels based on expected ROAS and funnel stage
  • Google Ads brief: Shopping, Search, and Performance Max campaign structures with keyword direction
  • Meta Ads brief: Audience targeting, ad set structure, and creative hooks for Facebook + Instagram
  • TikTok Ads brief: Video hook concepts, Spark Ads strategy, and audience targeting
  • Ad copy generation: Headlines, descriptions, and CTAs for each platform
  • Creative brief: Image/video specs, style direction, hook angles (not actual image/video creation)
  • Cross-platform audit: Compare ROAS/CPA across channels and identify where to shift budget

Usage Examples

Mode A — Build New Strategy

I sell handmade candles on Shopify. Price $34, cost $8. Monthly ad budget $2,000. Help me plan which platforms to advertise on.
I'm launching a fitness resistance band set, $29.99, 60% margin. $5,000/month budget. Where should I advertise and how much on each platform?
I have a Shopify store selling pet accessories. Best sellers are dog bandanas ($15) and cat toys ($12). $1,000/month to start. What's my ad strategy?

Mode B — Optimize Existing

Running Google Shopping (ROAS 3.2x, $3,000/mo) and Facebook ($1,800/mo, ROAS 1.4x). Margin is 45%. Should I shift budget?
My TikTok ads get tons of views but barely convert. Google Shopping is profitable. Total budget $4,000/month. Help me optimize.

How This Skill Collects Information

Step 1: Extract from the prompt. Parse product type, price, margins, budget, platforms mentioned, ROAS data, store type.

Step 2: Identify gaps. Compare against what's needed:

Mode A critical info:

InfoWhy It's Needed
Product price + cost/marginCalculate break-even ROAS and Max CPA
Monthly ad budgetAllocate across platforms
Buyer behavior typeDetermines which platform is primary (see below)
Existing website traffic / email listDetermines if retargeting is viable

Mode B critical info:

InfoWhy It's Needed
Per-platform spend + ROAS/CPAAudit each platform's performance
Profit marginCalculate break-even ROAS
Campaign durationNew campaigns need 2-4 weeks before optimization

Step 3: One follow-up. Ask only for missing critical items. Always include the buyer behavior question for Mode A:

Mode A example:
"Nice — handmade candles at $34 with $2,000/month budget. To plan your 
strategy, I need a few things:

  1. Your product cost per unit (to calculate break-even ROAS)
  2. How do customers typically find products like yours?
     a) They search for it (e.g., 'soy candles') — they know what they want
     b) They discover it visually — they see it and want it (lifestyle, fashion, decor)
     c) They need to see it in action — demo/video is what sells it
     d) Not sure — I'll analyze and recommend
  3. Do you have existing website traffic or an email list?
     (This affects whether retargeting is viable from day one)"

Mode B example:
"Got it — Google and Facebook running. To audit properly:
  1. Your product margin (or cost + price, I'll calculate)
  2. How long have these campaigns been running? (New campaigns 
     need 2-4 weeks before optimization)"

The buyer behavior answer directly determines platform selection:

  • a) Search → Google Shopping / Search is primary
  • b) Visual → Meta Ads (Facebook / Instagram) is primary
  • c) Demo → TikTok Ads is primary
  • d) Not sure → Infer from product type, mark as ⚠️ estimated

Step 4: Use estimates when stuck. Don't block on missing data — use category benchmarks, but:

  • Mark every estimate clearly in the output with ⚠️ (e.g., "⚠️ Estimated: conversion rate 2.5% based on home decor category average")
  • Explain what better data would change (e.g., "If you can share your actual Shopify conversion rate, I can recalculate the ROAS target and budget split more accurately")
  • List what to provide next time at the end of the report for more precise results

Key Concepts

ROAS (Return on Ad Spend)

The universal metric across all platforms. ROAS = Revenue ÷ Ad Spend. A 4:1 ROAS means $4 revenue for every $1 spent.

Break-even ROAS

The minimum ROAS needed to not lose money: Break-even ROAS = 1 ÷ Profit Margin

Profit MarginBreak-even ROASMeaning
25%4.0xNeed $4 revenue per $1 ad spend just to break even
33%3.0x
50%2.0x
60%1.67x
75%1.33xHigher margin = more room for ad spend

Target ROAS

Break-even ROAS + profit buffer. Typically 1.5-2x the break-even ROAS for sustainable growth.

Platform ROAS Benchmarks (2025-2026)

PlatformAverage ROASTop QuartileBest For
Google Ads (Shopping)4.5x6x+High-intent buyers (they're already searching)
Meta Ads (FB/IG)2.2x4-5xVisual products, impulse buys, retargeting (3.6x)
TikTok Ads1.4x2x+Product discovery, demo-driven, younger audiences

Industry-wide ecommerce average: 2.87x

Max CPA (Cost per Acquisition)

Maximum you can pay to acquire one customer: Max CPA = Average Order Value × Profit Margin. Example: $34 product × 50% margin = $17 max CPA.


Mode A Workflow — Build Strategy

Step A1: Collect Product Info

DetailHow to Get ItCritical?
Product type and descriptionFrom user's prompt✅ Yes
Selling price (or AOV)Ask or infer✅ Yes
Product cost / profit marginMust ask user✅ Yes
Monthly ad budgetMust ask user✅ Yes
Buyer behavior typeAsked in follow-up (see "How This Skill Collects Information")✅ Yes
Store platform (Shopify, WooCommerce, etc.)Ask or inferHelpful
Existing website traffic / email listAsked in follow-upHelpful
Target market / geographyAsk or inferHelpful

Step A2: Calculate ROAS Framework

📊 CROSS-PLATFORM FINANCIAL FRAMEWORK

Product Price (AOV):     $34.00
Product Cost:            $8.00
Profit Margin:           76.5%

Break-even ROAS:         1.31x ($1 ad spend must generate $1.31 revenue)
Target ROAS:             2.5x (maintains ~36% profit after ads)
Max CPA:                 $26.01 (max cost to acquire one sale)

Monthly Ad Budget:       $2,000
At Target ROAS (2.5x):   $5,000 expected monthly ad revenue
At Break-even (1.31x):   $2,620 minimum monthly ad revenue

Step A3: Recommend Platform Mix

Match the product to the right platforms based on product characteristics:

Product TypePrimary PlatformSecondaryWhy
Commodities (people search for them)Google ShoppingMeta retargetingCapture existing demand
Visual / lifestyle productsMeta AdsGoogle ShoppingCreate demand through imagery
Novel / demo-driven productsTikTok AdsMeta Ads"Wow" factor drives discovery
High-ticket / considered purchasesGoogle SearchMeta retargetingResearch-heavy buyer journey
Repeat consumablesMeta + EmailGoogle BrandBuild loyalty, retarget buyers

Platform selection logic (based on buyer behavior answer from follow-up):

  1. User answered a) Search → Google Shopping is primary
  2. User answered b) Visual → Meta is primary
  3. User answered c) Demo → TikTok is primary
  4. User answered d) Not sure → infer from product type using the table above (mark as ⚠️ estimated, explain reasoning)
  5. Always include retargeting (Meta or Google Display) if budget > $1,000/mo AND user has existing website traffic or email list
  6. If budget < $1,000/mo → pick ONE primary platform only, don't spread thin

Step A4: Allocate Budget Across Platforms

Use this framework, adjusted for product type:

For search-intent products (Google primary):

Channel% of BudgetPurpose
Google Shopping / PMax50-60%Capture high-intent buyers
Meta Ads (prospecting)20-25%Create demand + build audiences
Meta/Google retargeting10-15%Convert visitors who didn't buy
Testing (TikTok / new)5-10%Discover new channels

For visual/impulse products (Meta primary):

Channel% of BudgetPurpose
Meta Ads (prospecting)45-55%Primary demand creation
Google Shopping20-25%Capture search spillover
Meta/Google retargeting15-20%Highest ROAS channel
TikTok Ads5-10%Discovery + younger audience

For demo/novelty products (TikTok primary):

Channel% of BudgetPurpose
TikTok Ads40-50%Product discovery via video
Meta Ads20-30%Broader audience + retargeting
Google Shopping10-20%Capture search from viral interest
Retargeting10-15%Convert viewers who didn't buy

Step A5: Generate Platform Briefs

For each recommended platform, output a campaign brief:

Google Ads Brief:

  • Campaign type recommendation (Shopping, Search, Performance Max)
  • Keyword themes (not full keyword list — that's for google-ads-ecommerce skill)
  • Bidding strategy recommendation (Target ROAS, Maximize Conversions)
  • Daily budget
  • Key settings (location targeting, device bids, scheduling)

Meta Ads Brief:

  • Campaign objective (Sales, Traffic, Engagement)
  • Audience targeting: demographics, interests, behaviors, lookalikes
  • Ad set structure (how many ad sets, what audiences)
  • Placement recommendations (Feed, Stories, Reels)
  • Daily budget per ad set

TikTok Ads Brief:

  • Campaign objective (Conversions, Traffic)
  • Targeting: demographics, interests, behaviors
  • Spark Ads vs In-Feed vs TopView recommendation
  • Content style recommendation (UGC, product demo, before/after)
  • Daily budget

Step A6: Generate Ad Copy and Creative Direction

For each platform, generate 3 ad copy variations AND a creative brief using these specs:

Google Ads Copy Specs
ElementMax LengthNotes
Headline30 charactersWrite 3-5 headlines; Google rotates them
Long headline90 charactersFor Performance Max / Display
Description90 charactersWrite 2-4 descriptions
Display path15 characters × 2e.g., /soy-candles/shop

CTA: Chosen from Google's preset list (Shop Now, Learn More, Get Offer, Sign Up).

Example:

Headline 1: Handmade Soy Candles – $34    (30 chars)
Headline 2: 60+ Hour Clean Burn            (22 chars)
Headline 3: Free Shipping Over $50         (25 chars)
Description 1: Hand-poured soy candles with natural essential oils. Clean burn, long-lasting fragrance. Shop now.  (90 chars)
Description 2: Eco-friendly candles perfect for gifts or self-care. Made in small batches with premium soy wax.    (90 chars)
Meta Ads (Facebook / Instagram) Copy Specs
ElementRecommendedMaxNotes
Primary text125 chars2,200First 125 visible before "See more"
Headline40 chars255Below the image/video
Description30 chars—Shows in some placements only
Image1080×1080—Square for Feed
Stories/Reels1080×1920—Vertical 9:16
Video length15-60s240 min15-30s performs best

CTA: Shop Now, Learn More, Get Offer, Sign Up, Order Now.

Example:

Primary text: Your evening ritual, upgraded. Hand-poured soy candles that fill your space with natural fragrance for 60+ hours. 🕯️
Headline: Shop Handmade Soy Candles
Description: From $34 · Free Shipping
CTA: Shop Now
TikTok Ads Copy Specs
ElementMax LengthNotes
Ad text / caption100 charactersKeep short — users scroll fast
Display name40 charactersYour brand name
Video9:16 vertical720×1280 minimum
Video length9-15 secondsSweet spot; max 60s
Spark AdsN/ABoost existing organic posts — no separate copy needed

CTA: Shop Now, Learn More, Download, Contact Us.

Hook rule: First 2-3 seconds must grab attention. Start with motion, a question, or a surprising visual — never a logo or slow intro.

Example:

Hook (0-3s): [Close-up of match striking, candle being lit in cozy room]
Caption: The only candle that lasts 60+ hours 🕯️ #soycandle #cozyvibes
CTA: Shop Now
Creative Brief (all platforms)

For each platform, also provide:

  • Visual style direction: lifestyle, product-only, UGC, comparison, or before/after
  • Video hook concept: What happens in the first 3 seconds (the make-or-break moment)
  • Key messages: 2-3 bullet points the creative must communicate
  • What NOT to do: Common mistakes for this product type (e.g., "Don't use stock photos for a handmade product")
Creative Asset Prompts

Generate ready-to-use prompts that users can take directly to a designer or AI image tool (Midjourney, DALL-E, Flux, etc.):

For each recommended platform, provide 2-3 image prompts:

📸 AI Image Prompt (Product Shot):
"[Product] on [surface/background], [lighting style], [camera angle], 
[mood/aesthetic], commercial product photography, [aspect ratio]"

📸 AI Image Prompt (Lifestyle):
"[Scene description with product in context], [lighting], [color palette], 
[mood], editorial photography style, [aspect ratio]"

📸 AI Image Prompt (Ad Creative):
"[Scene] with space for text overlay on [top/bottom/left], 
[style], [dimensions for platform]"

For video ads, provide a shot list:

🎬 Video Shot List (15s):
0-3s: [Hook — what grabs attention]
3-8s: [Product showcase — key features/benefits]
8-12s: [Social proof or lifestyle context]
12-15s: [CTA — clear next step + end card]

For designer briefs, include:

  • Deliverables: exact sizes and quantities needed per platform
  • Reference mood/style (e.g., "Aesop-style minimalist" or "Glossier-style friendly")
  • Brand colors and fonts (if user provides them)
  • What assets the designer should deliver (PSD, PNG, video files)

This section ensures the user can immediately act on the strategy — either by generating visuals with AI tools or briefing a designer/photographer.

Step A7: Generate Complete Strategy

Compile Steps A1-A6 into the Mode A Output template below.


Mode B Workflow — Optimize Existing

Step B1: Collect Platform Data

DetailCritical?Notes
Platforms running✅ YesGoogle, Meta, TikTok, etc.
Per-platform spend✅ YesMonthly or daily
Per-platform ROAS or CPA✅ YesThe core metric
Product profit margin✅ YesTo calculate break-even
Campaign durationHelpfulNew campaigns need 2-4 weeks before optimization
CTR and conversion ratesBonusDeeper performance analysis
Best/worst performing audiencesBonusFor audience optimization

Step B2: Cross-Platform Audit

Compare each platform against break-even and target ROAS:

PlatformSpendROASvs Break-evenvs TargetStatusAction
Google Shopping$3,0004.5x✅ +3.2x✅ +2.0x🟢Scale budget
Meta Prospecting$1,2001.8x✅ +0.5x❌ -0.7x🟡Optimize audiences
Meta Retargeting$6005.2x✅ +3.9x✅ +2.7x🟢Scale budget
TikTok$8000.9x❌ -0.4x❌ -1.6x🔴Cut or restructure

Step B3: Budget Reallocation

Shift money from underperformers to winners:

  • 🟢 Platforms beating target ROAS → increase budget 20-30%
  • 🟡 Platforms between break-even and target → optimize before scaling
  • 🔴 Platforms below break-even → cut budget 50% or pause

Step B4: Per-Platform Optimization

For each underperforming platform, provide specific actions:

  • Google: keyword negative list, bidding strategy change, campaign type switch
  • Meta: audience refinement, creative refresh, placement optimization, lookalike expansion
  • TikTok: creative hook changes, targeting adjustments, Spark Ads pivot

Step B5: Generate Optimization Plan

Compile into the Mode B Output template below with prioritized actions and timeline.


Output Formats

Mode A Output — Multi-Platform Strategy

# ✅ E-Commerce PPC Strategy — Ready to Implement

## Financial Framework
Product: [name] | Price: $XX | Margin: XX%
Break-even ROAS: X.Xx | Target ROAS: X.Xx | Max CPA: $XX
Monthly Budget: $X,XXX

## Platform Mix
[Visual showing recommended platforms and % allocation]

## Platform 1: [Google Ads / Meta / TikTok]
  Budget: $XXX/month (XX%)
  Campaign Type: [type]
  Targeting: [audiences / keywords]
  Bidding: [strategy]

  Ad Copy (3 variations):
    V1: [headline] | [description] | [CTA]
    V2: ...
    V3: ...

  Creative Brief:
    Format: [dimensions + type]
    Style: [lifestyle / UGC / product demo / comparison]
    Hook: [first 3 seconds concept for video, or key visual for static]
    Key Messages: [2-3 bullet points]

  Creative Asset Prompts:
    📸 Product Shot: "[AI image prompt ready to paste into Midjourney/DALL-E]"
    📸 Lifestyle: "[AI image prompt for lifestyle scene]"
    📸 Ad Creative: "[AI image prompt with text overlay space]"
    🎬 Video (15s):
      0-3s: [Hook]
      3-8s: [Product showcase]
      8-12s: [Social proof / lifestyle]
      12-15s: [CTA + end card]

## Platform 2: [...]
  [same structure]

## Budget Summary
| Platform | Monthly | Daily | % | Expected ROAS | Expected Revenue |
|----------|---------|-------|---|:-------------:|-----------------:|
| [name]   | $XXX    | $XX   | XX% | X.Xx       | $X,XXX           |

## 30-Day Test Plan
Week 1: [launch actions]
Week 2: [check metrics, early optimizations]
Week 3: [scale winners, cut losers]
Week 4: [full review, reallocate]

Mode B Output — Cross-Platform Optimization

# ✅ PPC Optimization Actions — Ready to Implement

## Priority 1: Budget Shifts (Do Today)
  [Platform]: $XX/mo → $XX/mo (reason)
  [Platform]: $XX/mo → $XX/mo (reason)

## Priority 2: Platform-Specific Fixes (This Week)
  [Platform]: [specific actions — audience changes, creative refresh, etc.]

## Priority 3: Testing (Next Week)
  [New audience / creative / platform to test]

## Cross-Platform Audit
[Full comparison table from Step B2]

## Expected Results (4 Weeks)
| Metric | Current | Target | Impact |
|--------|---------|--------|--------|
| Blended ROAS | X.Xx | X.Xx | +XX% |
| Monthly Revenue | $X,XXX | $X,XXX | +$X,XXX |

Other Skills

This skill covers cross-platform strategy. For platform-specific execution, check out these dedicated skills:

  • google-ads-ecommerce — Google Shopping, Search, and Performance Max campaign setup (coming soon)
  • meta-ads-ecommerce — Facebook and Instagram ad campaign setup (coming soon)
  • tiktok-ads-ecommerce — TikTok ad campaign setup (coming soon)

More e-commerce skills: nexscope-ai/eCommerce-Skills

Selling on Amazon?

amazon-ppc-campaign — Build and optimize Amazon Sponsored Products / Brands / Display campaigns. Calculates ACoS targets, groups keywords by campaign type, sets bid strategies based on Amazon's suggested ranges. Output follows Seller Central hierarchy — ready to implement.

bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -g

See all Amazon seller skills: nexscope-ai/Amazon-Skills

Limitations

This skill provides strategic planning and creative direction based on industry benchmarks and product analysis. It cannot access live ad platform data, create actual images/videos, set up tracking pixels, or manage ad accounts directly. For deeper optimization with live data, check out Nexscope — Your AI Assistant for smarter E-commerce decisions.


Built by Nexscope — research, validate, and act on e-commerce opportunities with AI.

Frequently asked questions

What does the Ecommerce Ppc Strategy Planner AI skill do?

Cross-platform PPC strategy planner for ecommerce businesses. Analyzes your product and margins, recommends the right advertising platforms (Google Ads, Meta Ads, TikTok Ads), calculates ROAS targets, allocates budget across channels, and generates platform-specific campaign briefs with ad copy and creative direction. Two modes: (A) Build — design a multi-platform ad strategy from scratch, (B) Optimize — audit existing cross-platform campaigns and reallocate budget. Works for Shopify, WooCommerce, standalone stores, and marketplace sellers expanding to external traffic. No API key required.

Why use Ecommerce Ppc Strategy Planner on TypingMind?

Because you install it once and use it with any model. Ecommerce Ppc Strategy Planner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecommerce Ppc Strategy Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexscope-ai/eCommerce-Skills/tree/main/ecommerce-ppc-strategy-planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ecommerce Ppc Strategy Planner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecommerce Ppc Strategy Planner?

As many as you like. As long as a model supports skills, you can use Ecommerce Ppc Strategy Planner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecommerce Ppc Strategy Planner AI skill free?

Yes. It is published on GitHub by nexscope-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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