ad-creative-analyze-winner

ad-creative-analyze-winner is a skill for Claude Code, Codex from S3YED/appie-kit. It costs 80 tokens per session (1,020 once invoked), scanned A, original, MIT.

A step that examines a proven ad image and turns its visual design and wording into a structured brief for creating related ads.

In plain words
What is it for?
Use it as the first step when adapting a winning ad into new angles or backgrounds. It recommends which variation path to follow and rates the ad’s text angle.
Why use it?
It records what makes the ad work before new versions are made, so later steps have a shared reference instead of relying on guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it as the first step when adapting a winning ad into new angles or backgrounds. It recommends which variation path to follow and rates the ad’s text angle.

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Install with agentmods
npx agentmods add skills/s3yed/appie-kit/ad-creative-analyze-winner
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 S3YED/appie-kit --skill ad-creative-analyze-winner
Clone the repo
git clone --depth 1 https://github.com/S3YED/appie-kit

Made for: Claude Code, Codex.

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 ad-creative-analyze-winner

README.md
[![agentmods](https://agentmods.dev/badge/skills/s3yed/appie-kit/ad-creative-analyze-winner/github.svg)](https://agentmods.dev/skills/s3yed/appie-kit/ad-creative-analyze-winner)
Your own site
<a href="https://agentmods.dev/skills/s3yed/appie-kit/ad-creative-analyze-winner"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/ad-creative-analyze-winner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ad-creative-analyze-winner

Your own site · 80×15
<a href="https://agentmods.dev/skills/s3yed/appie-kit/ad-creative-analyze-winner"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/ad-creative-analyze-winner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,020 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 $0.00080 $0.01020
Opus 5 $0.00040 $0.00510
Sonnet 5 $0.00016 $0.00204
Haiku 4.5 $0.00008 $0.00102

Measured 8d ago against content hash f7ab0bf7eea6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ad-creative-analyze-winner 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 8d 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.

skills/content-creation/ad-creative-analyze-winner/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ad Creative — Analyze Winner (Prompt 1)

Part of the ad-creative-variations family. Full context: ../ad-creative-variations/SKILL.md and ../ad-creative-variations/references/ad-creative-system-source.md.

When to use

  • First step whenever asked to scale/vary a winning ad.
  • Never skip this even if the user only wants "just the new angles" — every downstream prompt (new angles, new backgrounds, hook generation, weak-angle fix) needs this brief verbatim.

Prerequisites

  • The winning ad, as an image.
  • Confirm the ad actually qualifies as a winner first (Step 0 in the parent skill: minimum spend + ROAS/CPA threshold the user has set). If unproven, stop and say so.
  • Know the target market/language (ask if unclear — do not assume Swiss German).

Procedure

  1. Load the winning ad image.
  2. Run this analysis (adapt [LANGUAGE/MARKET] to the actual target, e.g. "Schweizer Hochdeutsch — Swiss Standard German, no ß, always 'ss'", or "German (Germany)", "Dutch", etc.):
Analyse this winning ad and extract the following elements.

START your answer with two clear labels:

A) RECOMMENDATION: "USE PROMPT 2" or "USE PROMPT 3" or "USE BOTH"
   + one sentence why.
B) TEXT ANGLE SCORE: "STRONG" or "WEAK" + a score from 1-10
   + one sentence why. Score 6 or lower = WEAK.

Then extract:

1. VISUAL STYLE: How is the image composed?
   (close-up, lifestyle, product shot, before/after etc.)

2. FORMAT: What is the ad format?
   (split screen, single image, text overlay, two-zone with bottom strip etc.)
   List every layout element that is actually present. Do not assume elements
   that are not visible.

3. HOOK STYLE: What emotional trigger does the headline use?
   (curiosity, fear, social proof, problem-aware, authority etc.)

4. CORE MESSAGE: What is the main promise or benefit?

5. TEXT ELEMENTS: List all text visible in the ad exactly as written.

6. PRODUCT PLACEMENT: Where and how is the product shown?
   If no product is visible, say so.

7. MAIN SUBJECT: Is there a person in the image? If yes: age, gender,
   expression, pose. If no: describe the main subject (product, scene, object).

8. TARGET AUDIENCE: Who is this ad clearly targeting?

9. WINNING DNA: Summarize in 2-3 sentences what makes this ad work
   and what must be preserved in all variations.

Recommendation logic you must follow:
* USE PROMPT 3 if the TEXT is the main reason this ad wins.
  The text must stay exactly as is; only the background image gets refreshed.
* USE PROMPT 2 if the VISUAL FORMAT is the main reason this ad wins.
  The format stays; the text angle can be varied.
* USE BOTH if text AND format are both clearly strong.

Output this as a structured brief I can use to brief an AI image generator.
All ad copy in [LANGUAGE/MARKET].

Read the full file on GitHub · 89 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. 8d ago First seen · 89 lines · 80 tokens per session scan A f7ab0bf7eea6

Subscribe to this mod's changes

ad-creative-analyze-winner is a skill published in the GitHub repository S3YED/appie-kit (9 stars, last pushed 16d ago), licensed MIT. It adds 80 tokens to every session and 1,020 once invoked, about $0.0004 per session on Opus 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 2026-09-03.

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