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AI Agent Skills Library
for reporting and analysis
Explore ready-to-use AI skills that help you analyze marketing, sales, finance, and ecommerce data faster with Coupler.io. Use AI skills for your repeated tasks inside Coupler.io to make your analytics routine faster and more efficient. Works with Claude, ChatGPT or your other preferred AI tools.
Create dataflow
Tells your AI which sources you want to connect and sets up the data flow for you. No manual configuration required or coding agent required.
Generate dataset context
Reads your dataset and documents its structure so analytics skills know exactly what data they're working with. Run this first for more accurate results. Think of it as giving the AI domain expertise about your specific data.
E-commerce analytics
Analyzes store performance across Shopify, WooCommerce, Magento, and more. Covers conversion funnel, average order value, repeat purchases, and top-performing products. Returns results in plain language or structured JSON for further data analysis.
Finance analytics
Breaks down financial health from QuickBooks, Xero, Stripe, and NetSuite. Covers P&L, margins, MRR/ARR, and cash runway. Runs SQL-style queries against your financial data without writing SQL.
Marketing analytics
Analyzes paid media performance across Google Ads, Meta, LinkedIn, and TikTok. Surfaces ROAS, CPA, budget pacing issues, and attribution gaps. Handles each specific task so your AI doesn't hallucinate metrics from thin air.
Sales analytics
Analyzes pipeline and CRM data from Salesforce, HubSpot, Pipedrive, and more. Covers win rate, deal velocity, stage conversion, and rep performance. Works as a standalone skill or combined with marketing-analytics for full-funnel orchestration.
Refine prompt
Turns a rough request into a precise system prompt so your AI returns the analysis you actually need. Handles prompt validation and formatting automatically.
Report generation
Turns raw analysis into a clean, decision-ready report. Runs validation on figures and claims before delivery so you can share it with stakeholders without a second pass. Outputs markdown, summarize-ready text, or formatted tables.
TikTok Ads Creative Analysis
Use for "which creative is working on TikTok", "which videos should I put money behind", "what should the next round of creative look like", "is my hook working", "which video is holding attention", "why do people scroll past my ad", or "what do my winners have in common" — even when the user never says "creative".
TikTok Ads Client Report
Use when someone asks for a monthly TikTok report for a client, wants the TikTok section of a client deck built, needs last month's paid social written up, asks for an end-of-month TikTok report, asks "what do I tell the client", or asks how to present a target they missed — even when they never say the word "report".
TikTok Ads Budget Pacing
Use for "am I on track with my TikTok budget", "will I overspend this month", "how much should I be spending a day", "which ad groups are capped", "we underspent and I don't know why", "why won't this ad group spend", or a mid-month spend check — even when the user never says "pacing".
TikTok Ads Audience Analysis
Use for "which audiences are working on TikTok", "is interest targeting worth it", "should I just go broad", "who is actually converting", "which age group should I bid on", "are my behaviour segments earning their spend", or "is my targeting or my creative doing the work" — even when the user never says "audience".
Paid Ads Performance Analysis (PPC)
Analyze paid-ads (PPC) performance over the ad data connected in your Coupler.io workspace — spend, impressions, clicks, CTR, CPC, CPM, conversions, CPA, ROAS — with per-platform funnel traces, an efficiency-first comparison table, brand vs non-brand splits, budget pacing, and a weekly PPC review.
Google Ads Waste And Scale
Use for "where am I wasting money on Google Ads", "which keywords should I pause", "find me negative keywords", "search terms report analysis", "which campaigns should I scale", "clean up my Google Ads account", "what should I cut and where should the money go" — even without the words "waste" or "scale".
Google Ads Settings Audit
Use for "audit my Google Ads settings", "is my account set up right", "I inherited this account, what's wrong with it", "why is my traffic showing outside my area", "check my campaign settings", "new client account review" — even when the user never says "settings".
Google Ads PMax Transparency
Use for "how is Performance Max doing", "is PMax cannibalising my Shopping campaigns", "I can't see anything inside PMax", "is Performance Max just buying my own brand traffic", "should I keep PMax or go back to Shopping", "what are my asset groups doing" — even when the user only says "PMax" or "my Google Ads black box".
Get Started
Use this skill when the user's Coupler.io workspace is NEW or EMPTY — no datasets, no credentials — and they want their data flowing, or when any data request arrives from an account with nothing set up yet.
TikTok Ads Creative Fatigue and Velocity
Use for "is my TikTok creative burning out", "my hook rate is dropping", "my CPMs keep rising", "how long before I need new videos", "which ads should I refresh", "how much new creative do I need a month", "how many videos should we shoot", or "this video used to work" — even when the user never says "fatigue".
TikTok Ads GMV Max and Shop Review
Use for "how is GMV Max doing", "should I use GMV Max or run campaigns manually", "is GMV Max cannibalising my other campaigns", "which products are selling on TikTok Shop", "my GMV Max ROI dropped", "I can't see anything inside GMV Max", or "is TikTok Shop worth the spend" — even when the user only says "Shop ads" or "my TikTok black box".
TikTok Ads Performance Review
Use for "how are my TikTok ads doing", "why did my cost per result go up", "what changed on TikTok this month", "which campaigns improved", "my CPMs are climbing", "my video views dropped", or a weekly or monthly account check — even when the user never says "review".
TikTok Ads Pixel and Attribution Audit
Use for "can I trust my TikTok conversion numbers", "why does TikTok claim more purchases than Shopify", "are my conversions double counted", "is my pixel firing", "why do standard and real-time conversions disagree", "my conversions dropped overnight", or "how much spend has no tracking" — and whenever someone doubts the numbers, even without the word "audit".
TikTok Ads Placement, Geo and Device
Use for "is Pangle wasting my money", "should I turn off automatic placement", "how is Search Feed doing", "which countries are working on TikTok", "is iOS or Android converting", "what time of day should I be running", or "where is my budget actually going" — even when the user never says "placement".
TikTok Ads Structure and Learning Review
Use for "is my TikTok account built right", "why are my ad groups stuck in learning", "do I have too many ad groups", "should I consolidate", "why won't this ad group exit learning", "I inherited this TikTok account, what's wrong with it", or "my delivery keeps restarting" — even when the user never says "structure".
TikTok Ads Waste and Scale
Use for "where am I wasting money on TikTok", "which ad groups should I pause", "what should I turn off", "which campaigns should I scale", "clean up my TikTok account", "find me negative keywords for Search Ads", or "what do I cut and where does the money go" — even without the words "waste" or "scale".
Coupler.io live artifact
Build a live Cowork artifact (persistent HTML widget) backed by a Coupler.io dataflow.
Google Ads Custom GAQL
Use this skill when the user needs Google Ads data that no packaged report type carries, or asks for a Custom GAQL source.
Facebook Ads Audience Analysis
Use for "which audiences are working on Meta", "is my lookalike better than broad", "is retargeting worth it", "who is actually converting", "should I still be running interest targeting", "which age group should I bid on", or "my audiences feel tired" — even when the user never says "audience".
Facebook Ads Budget Pacing
Use for "am I on track with my Meta budget", "will I overspend this month", "how much should I be spending a day", "which ad sets are capped", "we underspent and I don't know why", "why won't this ad set spend", or a mid-month spend check — even when the user never says "pacing".
Facebook Ads Client Report
Use when someone asks for a monthly Meta report for a client, wants the Facebook section of a client deck built, needs last month's paid social written up, asks for an end-of-month social ads report, asks "what do I tell the client", or asks how to present a target they missed — even when they never say the word "report".
Facebook Ads Creative Analysis
Use for "which creative is working on Meta", "which ads should I put money behind", "what should the next round of creative look like", "why is my quality ranking below average", "is my hook working", "which video is holding attention", or "what do my winners have in common" — even when the user never says "creative".
Facebook Ads Creative Fatigue
Use for "is my Meta creative burning out", "my CTR is dropping", "my CPMs keep rising", "how long before I need new ads", "which ads should I refresh", "how much new creative do I need a month", or "this ad used to work" — even when the user never says "fatigue".
Facebook Ads Performance Review
Use for "how are my Meta ads doing", "why did my cost per result go up", "what changed on Facebook this month", "which campaigns improved", "my CPMs are climbing", or a weekly or monthly account check — even when the user never says "review".
Facebook Ads Pixel and Attribution Audit
Use for "can I trust my Meta conversion numbers", "why does Facebook claim more purchases than Shopify", "are my conversions double counted", "is my pixel firing", "how much of this is view-through", "my conversions dropped overnight", or "how much spend has no tracking" — and whenever someone doubts the numbers, even without the word "audit".
Facebook Ads Placement Geo and Device
Use for "is Audience Network wasting my money", "should I turn off automatic placements", "how are Reels doing versus Feed", "which countries are working on Meta", "is mobile or desktop converting", "what time of day should I be running", or "where is my budget actually going" — even when the user never says "placement".
Facebook Ads Settings Audit
Use for "audit my Meta ads settings", "is this account set up right", "I inherited this Facebook account, what's wrong with it", "are the Advantage+ toggles on", "check my campaign settings", "why is this ad set optimising for the wrong thing", or "new client account review" — even when the user never says "settings".
Facebook Ads Structure and Learning Review
Use for "is my Meta account built right", "why are my ad sets stuck in learning", "do I have too many ad sets", "should I consolidate", "why won't this ad set exit learning", "I inherited this Facebook account, what's wrong with it", or "my delivery keeps restarting" — even when the user never says "structure".
Facebook Ads Waste and Scale
Use for "where am I wasting money on Meta", "which ad sets should I pause", "what should I turn off", "which campaigns should I scale", "clean up my Facebook account", "what do I cut and where does the money go" — even without the words "waste" or "scale".
Google Ads Budget Pacing
Use for "am I on track with my Google Ads budget", "will I overspend this month", "how much should I spend a day", "which campaigns are capped by budget", "we underspent and I don't know why", "where should I move budget", or a mid-month spend check — even when the user never says "pacing".
Google Ads Client Report
Use when someone asks for a monthly Google Ads report for a client, wants the client deck built, needs last month's Google Ads performance written up, asks for an end-of-month PPC report, asks "what do I tell the client", or asks how to present a target they missed — even when they never say the word "report".
Google Ads Conversion Tracking Audit
Use for "can I trust my Google Ads conversion numbers", "audit my conversion tracking", "why do Google Ads and Analytics disagree", "are my conversions double-counted", "my conversions dropped overnight", "how much of my spend has no tracking" — and whenever someone doubts their numbers, even without the word "audit".
Why use AI agent skills?
Works with your AI tools
Works with Claude, ChatGPT, and more. AI agent skills run inside Coupler and feed into whichever AI tool your team already uses.
Easy, no-code setup
Choose a skill from the library >
Connect your data sources >
The skill runs automatically inside your AI tool.
No engineering required.
Connect your data sources >
The skill runs automatically inside your AI tool.
No engineering required.
Always fresh data
AI Agent Skills pull from data that refreshes up to every 15 minutes so your AI is always working with what's actually happening, not last week's export.
How it works?
1
Connect Your Data Source
Link Google Ads, Meta, LinkedIn, TikTok, or GA4 to your AI chatbot.
2
Add Skill to Your Workflow
Drop the marketing analytics skill into Claude, ChatGPT, or any AI tool of choice.
3
Ask in Any Language
No SQL, formulas, and dashboard to build first. Just ask and get your response.
Find campaigns burning budget without conversions
Connect your Google Ads or Meta data and run the campaign audit skill. Your AI flags every campaign where spend is climbing but conversions haven't moved.
Explain a traffic drop before Monday standup
When GA4 shows a dip on Friday afternoon, run the traffic analysis skill. It checks the pattern against previous weeks and gives you a plain-language explanation ready to share with your team.
Spot which products are draining margin before the weekend
Add the ecommerce performance skill, connect your Shopify data, and ask your AI to rank products by revenue minus ad spend. You get a clear view of what's actually profitable without building a pivot table or waiting on a data analyst.
What AI Integrations does Coupler.io offer for business?
Frequently asked questions
AI agent skills are prebuilt analytical workflows in Coupler.io's skills library. Each skill targets a specific task: audit campaign performance, analyze a traffic drop, review pipeline health, etc.
Instead of writing a prompt from scratch every time, you pick a skill, connect your data sources, and your AI runs the analysis. LLM agent skills work by connecting your live business data directly to the model through MCP. So instead of uploading CSVs or writing complex queries, you just ask in plain language.
If you’ve used Coupler.io's dashboard templates before, agent skills follow the same logic: pre-built and ready to run, but for AI-powered analysis instead of static reports.
Start by setting up a data flow in Coupler.io. Connect your data source, set a refresh schedule, then open the skills library and pick the skill that fits your task. Add it to your workflow, open your AI tool, and prompt in plain language. The skill runs against your live Coupler.io data and returns analysis without you writing a single query or exporting anything manually.
Each skill is a predefined instruction set that tells your AI what data to pull, how to structure it, and what analysis to run.
When you trigger a skill, Coupler.io pulls fresh data from your connected sources, passes it to your AI tool through MCP (Model Context Protocol), and the AI runs the analysis based on the skill's parameters. The result comes back as a plain-language answer or report inside your AI chat.
The difference from feeding data manually is context. Coupler.io structures the data so the AI understands column meanings, metric definitions, relationships between tables, and more. That structured context window directly affects accuracy. It reduces vulnerabilities like hallucinated metrics or misinterpreted columns. Agent skills built on Coupler.io return more reliable results than manual uploads because the AI isn't guessing what the numbers mean.
MCP (Model Context Protocol) is the protocol that connects Coupler.io's data layer to your AI tool. It handles how data is transferred, structured, and made available for the AI to read. It's the foundation everything runs on.
Agent skills are built on top of that foundation. MCP gives your AI access to your data. A skill tells it exactly what to do with that data: which metrics to pull, how to structure the output, what kind of analysis to run, etc. Without a skill, you write those instructions yourself. With a skill, they're already there.
The practical difference: MCP suits users who want full control over their prompts and queries. Skills suit teams that want consistent, repeatable analysis without starting from a blank prompt every time.
Coupler.io agent skills currently work with Claude, ChatGPT, Gemini, Cursor, and Perplexity. Anthropic agent skills run natively inside Claude.ai. OpenAI agent skills and codex agent skills connect through OpenAI's MCP-compatible clients. Gemini agent skills work through Google's AI ecosystem. Cursor agent skills are available for technical and development workflows. Copilot skills agent functionality connects through Coupler.io's Custom MCP, which generates a unique endpoint any MCP-compatible tool can use.
Yes. Agent skills are available on Coupler.io's free tier. You can try them without a paid plan. All skills are included on every paid plan with no gating by tier.
Marketing teams, finance teams, agencies, and data analysts who run the same reports and analysis every week. If your job involves pulling data from multiple sources and turning it into answers for stakeholders, agent skills are built for that.
