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Automation
Skill

/performance-tracking

Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.

From plugin
gtm-agents
368200 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --skill performance-tracking --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/performance-tracking

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.

SKILL.md

performance-tracking.SKILL.md
name: performance-tracking
description: Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.

Performance Tracking Skill

When to Use

  • Before launch to define metrics, data sources, and reporting cadence.
  • During active campaigns to monitor pacing vs goals and trigger optimizations.
  • Post-campaign retros to capture learnings and benchmarks.

Framework

1. **Metric Hierarchy** – define business (pipeline, revenue), leading (MQL, CTR), and diagnostic metrics (CPC, landing page CVR). 2. **Data Plumbing** – map sources (ad platforms, MA, CRM, BI) and ensure consistent IDs/UTMs. 3. **Dashboard Build** – create executive + operator views with automated refresh. 4. **Alerting** – set thresholds for spend pacing, CPA, conversion drops, SLAs. 5. **Insight Cadence** – daily standups, weekly deep dives, end-of-campaign retros. 6. **Documentation** – record hypotheses, experiments, and outcomes.

Templates

  • KPI tree worksheet.
  • Dashboard spec (dataset, visualization, owner, refresh schedule).
  • Optimization log (date, insight, action, result).

Tips

  • Automate alert routing (Slack, email) so anomalies are actioned quickly.
  • Pair dashboards with narrative summaries to help execs interpret shifts.
  • Capture experiment context in the optimization log to prevent repeating failed tests.
  • Align BI/RevOps early so new metrics get logged before launch.

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