gooseworks-aiInstall Analyze Performance Rank And Read
Pick your agent. Every command is ready to paste.
npx skills add gooseworks-ai/goose-skills --skill analyze-performance-rank-and-readThe 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-rank-and-read when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the analyze-performance-rank-and-read skill”. In Codex, type $analyze-performance-rank-and-read.
Creative ranking and channel reads (atom)
Load: ../analyze-performance/references/creative-and-channels.md.
Inputs: meta_read performance (ranked by spend; the scorecard on the settled days: 14 minus days: 3 window, 7- and 28-day reads for the fatigue trend); each Goose ad's angle annotation (ads_creative_read and the campaign concepts); the non-Goose export; UTM store conversion per angle; email export; social_analytics_get posts and accounts; Google export and search terms; app/local exports.
Do:
- Creative: group by angle → hook → format; rank by spend; apply minimum-spend gates; verdict with confidence; fatigue trend; name no winner if
insight.availableis false; state coverage. - Build the per-channel and per-ad scorecards against last run's rows and the angle history line (
../analyze-performance/references/run-memory.md). - Draft "what to make next" from the history: tiring 2+-run winners first, retire losers, fair test for too-early, organic overperformers as paid candidates; nothing that already failed without a new reason; unmade items carried with their first date — producer and date for each.
- Email & SMS, organic, Google (+ wasted-spend terms), apps, local: one short block each, or "not measured this week" / "not used".
- Future rows: creators (codes), outreach (reply rates), WhatsApp — named, never dropped.
Output: the scorecards for the run record; the report's Creative ranking, channel blocks, channel-table rows and What-to-make-next draft.
Tips for Analyze Performance Rank And Read
- • 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 Rank And Read
What does the Analyze Performance Rank And Read skill do?
Step of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.
How do I install Analyze Performance Rank And Read?
Run "npx skills add gooseworks-ai/goose-skills --skill analyze-performance-rank-and-read" 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 Rank And Read work in Cursor and Codex?
Yes. Analyze Performance Rank And Read 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 Rank And Read free?
Analyze Performance Rank And Read is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Analyze Performance Rank And Read?
Analyze Performance Rank And Read is published by gooseworks-ai in the gooseworks-ai/goose-skills repository, together with 28 other skills.
