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-data-set-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.

Ecom-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.

Why use AI agent skills?

Works with your AI tools icon

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 icon

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.
Always fresh data icon

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.
image-block/campaigns-burning-budget

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.

image-block/traffic-drop

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.

image-block/draining-margin

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.

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.

Try Coupler.io today