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/analyze-performance-diagnose

Step of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence, confidence and ruled-out causes. 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-diagnose --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-diagnose

Context preview

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

Step of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence, confidence and ruled-out causes. Run analyze-performance instead; not for direct use.

SKILL.md

analyze-performance-diagnose.SKILL.md
name: analyze-performance-diagnose
description: >-
  Step of the analyze-performance playbook: flags tracking breaks with fixes and explains each big
  metric move with evidence, confidence and ruled-out causes. Run analyze-performance instead; not for
  direct use.
version: 0.1.0

Plumbing and the why (atom)

**Load:** `../analyze-performance/references/diagnosis.md`.

**Inputs:** the clean dataset; the overclaim ratio and its trend; the change log (`decisions.md`); push failures/disapprovals reported by run-paid-campaigns or the marketer; the competitor watch digest; research-market's "What people are saying" section (newest `research/market/<D>-read.md`; check its window); the promo calendar and stock notes from the brief; destination URLs of top ads.

**Do:** 1. Plumbing: test each break signature (ratio jump/collapse, zero-conversion days with spend, ROAS spike with flat orders, LPV/click drop, UTM traffic missing). For each break: symptom, likely location, what to check, the fix when identifiable, what it blocks. Mark affected numbers suspect. 2. For each metric that moved materially at equal maturity: read the change log, check noise, mix shift, breakdown effect and denominator changes, then walk the cause checklist in order. One piece of evidence per named cause; confidence; ruled-out and unconfirmed causes listed. 3. Page/message match for the top 2–3 winners and losers (open the page if the host can browse; else ask for a screenshot): product, promise, offer, price, stock.

**Output:** the report's Plumbing and Why-it-moved sections, and mismatches to note.

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