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/analyze-performance-rank-and-read

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.

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goose-skills
1.3k200 skills
Install
$ npx -y skills add gooseworks-ai/goose-skills --skill analyze-performance-rank-and-read --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/analyze-performance-rank-and-read

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

analyze-performance-rank-and-read.SKILL.md
name: analyze-performance-rank-and-read
description: >-
  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.
version: 0.1.0

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:** 1. Creative: group by angle → hook → format; rank by spend; apply minimum-spend gates; verdict with confidence; fatigue trend; name no winner if `insight.available` is false; state coverage. 2. Build the per-channel and per-ad scorecards against last run's rows and the angle history line (`../analyze-performance/references/run-memory.md`). 3. 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. 4. Email & SMS, organic, Google (+ wasted-spend terms), apps, local: one short block each, or "not measured this week" / "not used". 5. 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.

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