free skill — weekly report automation
Turn Monday's exports into a finished report draft
If someone on your team spends part of every Monday exporting the same numbers from the same systems and writing the same three paragraphs, this recipe replaces the assembly. One setup session, then a weekly routine: export, paste, prompt, review. Works with ChatGPT, Claude, Gemini, or any capable assistant. Free, no email gate.
Free download · Markdown recipe
Weekly report automation recipe
One markdown file with the full method: a one-time setup (report spec, saved export views, template extraction), the weekly assembly prompt with anti-hallucination rules baked in, a sanity-check list, and an honest note on when this stops being enough.
- Download the recipe and read the setup section once
- Do the one-time setup: report spec, saved export views, extracted template
- Each week: pull the exports, paste them with last week's report, run the prompt
- Work the review list, spot-check three numbers, send
What this handles
The assembly and the first draft of any recurring report built from exports: CRM pipeline, ad spend, revenue, project status, whatever your Monday numbers are. The assistant fills your template, compares each metric to last week, and drafts the narrative — with hard rules that force it to flag missing or conflicting numbers instead of papering over them. Anything it can't verify gets a visible [CHECK] tag, not a confident guess.
What it doesn't handle: pulling the data itself. You still export the files each week. That's deliberate — a human pulling saved views is the simplest reliable data layer you can run without building anything.
How to run it
Setup happens once. You write a report spec (every metric, its source, its comparison), save an export view in each source system so the weekly pull is identical every time, and use the included prompt to turn your best past report into a reusable template.
The weekly run is four moves: export the saved views, paste them into a fresh chat with last week's report and the template, run the assembly prompt, then work through the review list it produces. The recipe ends with a sanity-check list (spot-check three numbers, confirm date ranges match, resolve every flag) because the draft is only as good as the check you run on it.
When to upgrade
Honest limit: this recipe works while your sources are few, the exports are clean, and the report stays internal. It breaks quietly — a system changes its export format, a date filter drifts, and the report is wrong for three weeks before anyone notices. If the report goes to clients or drives real decisions, the monitoring is the actual product: an agent that pulls directly from your systems, checks totals against the source, and escalates anomalies. That's the done-for-you version, and a free audit will tell you whether your reporting justifies it.
Keep going
Want the version that runs itself?
The recipe covers the assembly. An installed agent covers the pulling, the checking, and the schedule — with someone watching so a changed export never ships a wrong number. The free AI opportunity audit maps what that looks like on your systems. Same team. Double the output.
We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.