Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    Brand+Type+Attr Title Optimizer

    1

    Turn basic product-feed titles into structured Brand + Product Type + Material + Color titles, validate Merchant Center rules, and export AI-aware structured_title candidates with a row-level audit.

    Free

    2 installsSecurity scanned
    Brand+Type+Attr Title Optimizer

    Brand+Type+Attr Title Optimizer

    Example session with this skill installed

    Optimize the product titles in spring-catalog.csv for our Google Shopping feed.

    Use the strict structure Brand + Product Type + Material + Color.

    Rules

    • only use values already present in the catalog;
    • never invent materials, colors, keywords, claims, or promotions;
    • preserve exact variant colors;
    • keep generated titles within 150 characters;
    • put the most important identifying information early;
    • flag products missing product type or other important attributes;
    • generate AI-aware Merchant Center structured_title values;
    • do not overwrite the original titles.

    Give me an optimized-title file, a Merchant Center structured-title patch candidate, a row-level audit, and a summary.

    • Read your context and instructions
    • Compiled the brand+type+attr title optimizer
    • Generated the data export

    Product-title optimization complete

    Products processed: 2,486
    Titles generated: 2,431
    Rows requiring review: 55
    Missing material values: 128
    Missing color values: 41
    Average original title length: 27.6 characters
    Average generated title length: 54.2 characters

    No product attributes were invented.

    Example transformations

    IDOriginalGenerated
    BP-104Classic BackpackNorthPeak Hiking Backpack Recycled Nylon Black
    TS-221Essential TeeAlder Essential T-Shirt Organic Cotton Navy Blue
    MG-019Coffee MugHearthline Coffee Mug Stoneware White

    Review queue

    55 products were flagged because at least one core requirement could not be safely satisfied.

    Examples

    • SH-442 — missing product type
    • BP-317 — core title exceeded the safe character limit
    • TS-981 — color field missing for a variant-specific item

    Missing attributes were not guessed.

    Merchant Center output

    Each AI-generated title is represented as a structured_title candidate using:

    trained_algorithmic_media:"..."

    Files generated

    • optimized_titles.csv
    • merchant_center_structured_title_patch.csv
    • title_audit.csv
    • summary.json

    Important publishing note

    The structured-title patch is a preparation artifact.

    Google states that if both title and structured_title are supplied for a product, title is used. Review your Merchant Center data-source configuration before publishing.

    These titles are feed-optimization candidates, not a guarantee of Google Ads performance.

    brand-type-attr-title-optimizer.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Many ecommerce catalogs use weak titles like “Classic Backpack” or “Cotton Tee.” Valuable product attributes remain buried in separate feed columns instead of helping identify the product clearly.

    Rewriting hundreds or thousands of titles manually is slow—and one-shot AI rewriting can invent materials, colors, claims, or promotional language that does not belong in the feed.

    What it does

    Brand+Type+Attr Title Optimizer transforms verified catalog attributes into structured product titles using a strict, repeatable format.

    Brand + Product Type + Material + Color

    • Reads CSV and XLSX product catalogs
    • Uses only attributes already present in the feed
    • Supports category-specific title templates
    • Removes duplicate attribute phrases
    • Preserves exact variant values such as color
    • Enforces the 150-character Merchant Center title limit
    • Shows a first-70-character preview for prominence review
    • Flags missing attributes instead of inventing them
    • Generates AI-aware structured_title values
    • Produces a row-level audit and review queue

    Why this beats prompting it yourself

    A generic prompt can rewrite titles, but it can silently invent descriptors, use inconsistent attribute order, forget variants, or exceed feed limits.

    This skill separates AI generation from deterministic validation. Every row records the original title, generated title, attributes used, missing attributes, character count, first-70 preview, and validation status.

    Built for current Merchant Center rules

    AI-generated title candidates are represented as structured_title values using trained_algorithmic_media.

    The skill also warns when an existing title could take precedence, so teams can review their actual Merchant Center data-source setup before publishing.

    No performance guarantees

    Better product data can improve relevance and feed quality, but this skill does not promise additional impressions, clicks, conversions, or ROAS.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Listed9 days ago

    What's inside

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