gooseworks-aiInstall Analyze Performance Revenue Join
Pick your agent. Every command is ready to paste.
npx skills add gooseworks-ai/goose-skills --skill analyze-performance-revenue-joinThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads analyze-performance-revenue-join when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the analyze-performance-revenue-join skill”. In Codex, type $analyze-performance-revenue-join.
Revenue join (atom)
Load: ../analyze-performance/references/revenue-join.md.
Inputs: clean store/CRM numbers; total spend per platform; platform claims; break-even MER and allowable CAC (campaign brief economics box / measurement contract); last week's report (the story the marketer picked).
Do:
- Business-truth table: this week, last week, 4-week average, same week last year.
- MER, new-customer MER, nCAC, contribution after ads — each vs break-even / allowable / target.
- Overclaim ratio, like-for-like as in the reference (claimed purchases ÷ store orders, or claimed revenue ÷ store gross; a floor when a claimant is missing), with its 4-week trend.
- Marginal: Δ new-customer revenue ÷ Δ spend vs last week and vs the 4-week average.
- If the platform and blended stories point different ways: write both at the same grain, each ending "if true, you'd…", a recommendation, and the cheapest test that would settle it. Carry forward the story the marketer picked last time unless a test changed it.
- B2B: pipeline chain and cost per qualified lead / opportunity instead of revenue.
Output: the report's Business truth, overclaim line and Two stories sections.
Tips for Analyze Performance Revenue Join
- • Start a fresh session after installing so your agent picks up the new skill.
- • It is part of a pack with 29 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Analyze Performance Revenue Join
What does the Analyze Performance Revenue Join skill do?
Step of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.
How do I install Analyze Performance Revenue Join?
Run "npx skills add gooseworks-ai/goose-skills --skill analyze-performance-revenue-join" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Analyze Performance Revenue Join work in Cursor and Codex?
Yes. Analyze Performance Revenue Join uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Analyze Performance Revenue Join free?
Analyze Performance Revenue Join is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Analyze Performance Revenue Join?
Analyze Performance Revenue Join is published by gooseworks-ai in the gooseworks-ai/goose-skills repository, together with 28 other skills.
