Agent skill

Device Performance Split

by irinabuht12-oss in irinabuht12-oss/marketing-skills

Analyzes how your campaigns perform across mobile, desktop, and tablet.

No licenceAuto-check passedFrontend & Design

Install Device Performance Split

skills CLI
$ npx skills add irinabuht12-oss/marketing-skills --skill device-performance-split -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install irinabuht12-oss/marketing-skills device-performance-split --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/device-performance-split .claude/skills/device-performance-split && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
device-performance-split
GitHub stars
3.9k
Token cost
~704 tokens
SKILL.md length
348 words
Files
1
Skills in repo
48
Repo updated
First seen
Licence
None found

At a glance

Analyzes how your campaigns perform across mobile, desktop, and tablet.

  • Tasks that involve Landing pages
  • SKILL.md covers What it does, How it works, Practical example and What you get back, plus 2 more sections
  • Calls claude; reaches connector.get-ryze.ai
  • Tasks that involve Paid advertising

What it does

Device Performance Split is an agent skill from irinabuht12-oss/marketing-skills. Analyzes how your campaigns perform across mobile, desktop, and tablet. Identifies where device performance diverges significantly and recommends bid adjustments, campaign splits, or creative/landing page changes to capture the gap. Platform: Google and Meta.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Landing pages and Paid advertising. The repository describes itself as: Claude skills for marketing: 49 free marketing skills for Claude Code and claude.ai (Google Ads, Meta Ads, SEO, AI visibility) + the Ryze Google Ads MCP / Meta Ads MCP: claude….

When your agent uses it

  • Tasks that involve Landing pages
  • Tasks that involve Paid advertising

Example prompts

  • “Use the device-performance-split skill to analyz how your campaigns perform across mobile, desktop, and tablet”
  • “/device-performance-split”

What it can do on your machine

Read from SKILL.md and the folder at commit 1bb135e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • connector.get-ryze.ai

    Also links to:

    • get-ryze.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Device Performance Split loads about 704 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 348 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~704

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 348 words (~704 tokens).

“Analyzes how your campaigns perform across mobile, desktop, and tablet. Identifies where device performance diverges significantly and recommends bid adjustments, campaign splits, or creative/landing page changes to capture the gap.”

— opening of SKILL.md by irinabuht12-oss
name
device-performance-split
metadata
platform: Google and Meta

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/device-performance-split of irinabuht12-oss/marketing-skills.

Open the folder on GitHubat commit 1bb135e

Compare with similar skills

Device Performance Split next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Device Performance Split compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Device Performance Split this skillirinabuht12-oss/marketing-skills3.9k—~704Automated safety check: PassNone
Launch Videopexoai/pexo-skills801—~1.4kAutomated safety check: PassMIT
Suede AdsJasonColapietro/suede-creator-skills127—~6.1kAutomated safety check: PassMIT
Competitor Ad Intelligencesickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT
Ad Creative Builderaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0
DesignOhh-889/skyroc7959 repos~3.1kAutomated safety check: PassMIT

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Questions about Device Performance Split

What does Device Performance Split do?

Analyzes how your campaigns perform across mobile, desktop, and tablet. Device Performance Split is an agent skill from irinabuht12-oss/marketing-skills. Analyzes how your campaigns perform across mobile, desktop, and tablet.

When should I use Device Performance Split?

Device Performance Split fits situations like: tasks that involve Landing pages; tasks that involve Paid advertising.

How do I install Device Performance Split in Claude Code?

Run `npx skills add irinabuht12-oss/marketing-skills --skill device-performance-split -a claude-code`. Or copy the skill folder (skills/device-performance-split in irinabuht12-oss/marketing-skills) into .claude/skills/device-performance-split in your project. Claude Code loads it when a task matches its description.

How do I install Device Performance Split in Codex?

Run `npx skills add irinabuht12-oss/marketing-skills --skill device-performance-split -a codex`. Or copy the skill folder (skills/device-performance-split in irinabuht12-oss/marketing-skills) into .agents/skills/device-performance-split in your project. Codex loads it when a task matches its description.

Can I use Device Performance Split in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add irinabuht12-oss/marketing-skills --skill device-performance-split -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/device-performance-split, .gemini/skills/device-performance-split, .github/skills/device-performance-split and .opencode/skills/device-performance-split in your project.

What does Device Performance Split need to run?

Going by SKILL.md and its folder, Device Performance Split needs the command-line tools its instructions call (claude).

Does Device Performance Split access the network?

SKILL.md names 2 domains. In commands or code: connector.get-ryze.ai; the agent is likely to contact it when it follows the instructions. As links in the text: get-ryze.ai. This is read from the text; nothing was executed.

Is Device Performance Split safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Device Performance Split use?

No licence was found for Device Performance Split or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Device Performance Split use?

About 704 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Device Performance Split?

Skills that share tags, products or a category with Device Performance Split: Launch Video (pexoai/pexo-skills, 801 stars), Suede Ads (JasonColapietro/suede-creator-skills, 127 stars), Competitor Ad Intelligence (sickn33/agentic-awesome-skills, 47k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Device Performance Split?

irinabuht12-oss (a GitHub user) maintains it in irinabuht12-oss/marketing-skills, which has 3,908 GitHub stars. The repository holds 48 skills in this directory. The repository was last updated on September 24, 2026.

Source: irinabuht12-oss/marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.