The skill
Install once. Attach exports from each platform and get a unified table, pacing and anomaly flags, and a ranked reallocation list.
What's inside
Three files, one job: the cross-channel read, daily
Built for performance marketers and agencies, not data engineers.
Install guide
A two-minute setup, plus the exact columns to export so the read is accurate and the metrics line up.
Plan B prompt
No skills access? Paste the included prompt into any Claude chat with your exports. Same normalization, same recommendations, zero setup.
How it works
Three steps, from per-platform exports to a reallocation list you approve.
Step 1Export each platform
Pull the campaign report from each ad platform for the same date range, with spend, conversions, value, and budget where you have it.
Step 2Hand them to Claude
The skill maps and normalizes the files into one schema, computes pacing and change, and names where platform metrics are not truly comparable.
Step 3Approve the moves
Back comes a ranked reallocation list with the numbers behind each move. You decide and apply, the skill never touches your accounts.
No connection to your ad accounts. You bring the exports, the skill does the read. Reallocations are recommendations you approve, it never changes a budget, pauses a campaign, or edits a bid.
How to read your ad campaigns across every platform at once
Pulling numbers from six dashboards and stitching them into one view is the daily slog of cross-platform advertising. This free Claude skill does it in one pass. It normalizes your exports, flags where spend is pacing off, surfaces what moved, and ranks where the next dollar should go, with every change left for you to approve.
What a cross-channel read gives you
Each platform reports in its own format, so the real work is normalizing them into one comparable view. The skill maps every export to a common schema, computes your goal metric (CPA, ROAS, or CPL), checks pacing against your plan, and detects what changed since the prior period. The result is the unified read that has always been too slow to do every day.
Why it keeps the human in the loop
Most ad platforms now expose their data to AI agents read-only, agents can read but not change budgets or bids. This skill follows the same principle by design. It recommends reallocations with the numbers behind them and leaves the decision to you. That is the right governance while agent tooling is young, and it is how you get an agent's speed on analysis without handing over the spend.
Why it names its own caveats
Conversions, ROAS, and attribution windows are defined differently on each platform, so a single blended number can mislead. The skill aligns what it honestly can and flags what it cannot, rather than forcing unlike metrics into one figure. A read you can trust is one that tells you where the comparison breaks down.
Why now
As of mid-June 2026, nearly every major ad platform has shipped an official MCP server, so AI agents can read live campaign data through one protocol. The export-based workflow here is the same read, available today, that swaps to a live connection later with no rework. The full background is in the source article, AI Agents Can Now Read Your Ad Accounts Across Platforms. The Read-Only Phase Is Your Window.
Who it is for
Performance marketers and agencies running paid media across several platforms, growth teams that need a daily pacing and reallocation read, and anyone tired of rebuilding the same cross-channel spreadsheet every morning.