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Agent Skill

Ad Campaign Analyzer skill

ad-campaign-analyzersickn33/agentic-awesome-skillsplugins/agentic-awesome-skills-claude/skills/ad-campaign-analyzer/SKILL.md

Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.

48kMIT

always on

28 tokname + description

once used

4,021 tokSKILL.md body

bundled files

0

repo stars

48kGitHub

Install the Ad Campaign Analyzer skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ad-campaign-analyzer

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p ~/.claude/skills
cp -R /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/ad-campaign-analyzer ~/.claude/skills/ad-campaign-analyzer

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description28 tok
When the agent uses itThe SKILL.md instructions4,021 tok
Only if openedNo bundled files—

Until it is used, ad-campaign-analyzer costs about 49× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from sickn33/agentic-awesome-skills would load 5,255 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Ad Campaign Analyzer
  • Overview
  • When to Use This Skill
  • Phase 0: Intake
  • Phase 1: Data Ingestion & Normalization
  • Accepted Data Formats
  • Multi-Channel Normalization
  • Funnel-Adjusted CAC (If Funnel Data Available)
  • Phase 2: Performance Diagnostics
  • 2A: Campaign-Level Health Check
  • 2B: Investigation Candidates
  • 2C: Observed High Performers
  • 2D: Statistical Significance Check
  • Phase 3: Funnel Analysis
  • Click → Conversion Path
  • Funnel Drop-Off Diagnosis
  • Phase 4: Budget Reallocation
  • 4A: Historical Relative Efficiency
  • 4B: Marginal Return Analysis
  • 4C: Funnel Stage Coverage
  • 4D: Budget Shift Recommendations
  • 4E: Scenario Modeling
  • Phase 5: Output Format
  • Limitations

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