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Agent Skill

Analytics Tracking skill

analytics-trackingsickn33/agentic-awesome-skillsplugins/agentic-awesome-skills-claude/skills/analytics-tracking/SKILL.md

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.

48kMIT

always on

21 tokname + description

once used

1,863 tokSKILL.md body

bundled files

0

repo stars

48kGitHub

Install the Analytics Tracking skill

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

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill analytics-tracking

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/analytics-tracking ~/.claude/skills/analytics-tracking

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 description21 tok
When the agent uses itThe SKILL.md instructions1,863 tok
Only if openedNo bundled files—

Until it is used, analytics-tracking costs about 65× 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.

  • Analytics Tracking & Measurement Strategy
  • Phase 0: Measurement Evidence and Optional Review Rubric
  • Purpose
  • 🔢 Measurement Readiness & Signal Quality Index
  • Total Score: 0–100
  • Scoring Categories & Weights
  • Category Definitions
  • Illustrative planning bands (not validation gates)
  • Phase 1: Context & Decision Definition
  • 1. Business Context
  • 2. Current State
  • 3. Technical & Compliance Context
  • Core Principles (Non-Negotiable)
  • 1. Track for Decisions, Not Curiosity
  • 2. Start with Questions, Work Backwards
  • 3. Events Represent Meaningful State Changes
  • 4. Data Quality Beats Volume
  • Event Model Design
  • Event Taxonomy
  • Event Naming Conventions
  • Event Properties (Context, Not Noise)
  • Conversion Strategy
  • What Qualifies as a Conversion
  • Conversion Counting Rules

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