meta-creative-fatigue-analyzer

meta-creative-fatigue-analyzer is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 55 tokens per session (3,663 once invoked), scanned A, original, MIT.

An analysis guide for detecting creative fatigue in Meta ads, when people see the same ads repeatedly and engagement or results decline. It compares changes in frequency and click-through rate over time.

In plain words
What is it for?
Use it to assess falling click-through rates, relate performance changes to ad frequency, and plan when to refresh creative assets.
Why use it?
It helps distinguish worn-out ad creative from problems caused by the audience, delivery, or other campaign factors.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to assess falling click-through rates, relate performance changes to ad frequency, and plan when to refresh creative assets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill meta-creative-fatigue-analyzer
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for meta-creative-fatigue-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-creative-fatigue-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.03663
Opus 5.5 $0.00022 $0.01465
Sonnet 5.5 $0.00011 $0.00733
Haiku 4.5 $0.00006 $0.00366

Measured 1mo ago against content hash df920868423d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meta-creative-fatigue-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/meta-creative-fatigue-analyzer/SKILL.md · 441 lines

How it starts

The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meta Ads Creative Fatigue Analyzer

Purpose

Detect and prevent creative fatigue on Meta Ads (Facebook/Instagram). Help advertisers understand when performance drops are due to creative fatigue vs other factors, and provide actionable recommendations for refresh timing and strategies.

When to Use This Skill

Invoke when user mentions:

  • CTR questions: "Is my CTR declining due to high frequency?"
  • Refresh timing: "When should I refresh my Meta creatives?"
  • Frequency concerns: "What frequency is too high for conversion campaigns?"
  • Audience vs creative: "Should I expand my audience or refresh creatives?"
  • Prevention: "How do I prevent Meta creative fatigue proactively?"
  • Diagnosis: "Is my campaign fatigued or is there another issue?"

Key Questions This Skill Answers

Q1: Is my CTR dropping due to high frequency?

Analysis Framework:

  1. Calculate CTR trend over time
  2. Correlate with frequency increase
  3. Check if CTR decline matches frequency curve

Answer: If frequency >3-4 for conversion campaigns AND CTR declining >10% week-over-week, creative fatigue is likely the cause.

Q2: When should I refresh my creatives?

Scenario Refresh Every
Standard budget, broad audience 10-14 days
High budget, small audience 5-7 days
High budget, large audience 14-21 days
Low budget 14-21 days

Q3: What frequency is too high?

Campaign Type Max Frequency/Week
Conversion 3-4/week
Consideration 4-5/week
Awareness 6-8/week

Q4: Should I expand audience or refresh creative?

┌─────────────────────────────────────────────────────────────────────────────┐
│                    AUDIENCE vs CREATIVE DECISION                             │
└─────────────────────────────────────────────────────────────────────────────┘
                                    │
                    What's happening with your metrics?
                                    │
        ┌───────────────────────────┼───────────────────────────┐
        │                           │                           │
        ▼                           ▼                           ▼
FREQUENCY HIGH              FREQUENCY NORMAL            REACH EXHAUSTED
+ CTR DECLINING             + CTR DECLINING             (can't reach more)
        │                           │                           │
        ▼                           ▼                           ▼
REFRESH CREATIVE            TEST NEW AUDIENCE          EXPAND AUDIENCE
(Primary issue)             (Targeting issue)          (Audience issue)
        │                           │                           │
        └───────────────────────────┼───────────────────────────┘
                                    │
                                    ▼
                          BOTH ISSUES?
                    Refresh creative + expand audience

Read the full file on GitHub · 441 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 441 lines · 55 tokens per session scan A df920868423d

Subscribe to this mod's changes

meta-creative-fatigue-analyzer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 55 tokens to every session and 3,663 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.

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