Agent skill · Data & Analytics

measure-instrumentation-spec

Specifies what analytics events to track, when they fire, and what properties to include, as a contract between product and engineering that prevents undertracked features. Use before engineering builds a feature or when auditing existing tracking for gaps. For the dashboard built on top of these events, use measure-dashboard-requirements instead.

product-on-purposegithub.com/product-on-purposeGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add product-on-purpose/pm-skills --skill measure-instrumentation-spec --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 4 KB
Bundled scripts: none
Version: 2.2.0
Declared author: product-on-purpose
Path: skills/measure-instrumentation-spec/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 518
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Instrumentation Spec An instrumentation spec defines what analytics events to track, when to fire them, and what properties to include. It serves as a contract between product and engineering, ensuring consistent data collection that enables accurate measurement. Good instrumentation specs prevent the "we can't answer that question because we didn't track it" problem. ## When to Use - Before engineering implements a new feature - When defining analytics requirements for experiments - When auditing existing tracking for gaps or inconsistencies - When onboarding a new analytics tool - Before launch to ensure measurement is in place ## When NOT to Use - You are specifying the dashboard built on top of the events -> use `measure-dashboard-requirements` - You need experiment-specific metrics and variants, not product-wide tracking -> use `measure-experiment-design` - The feature itself is not yet specified (no flows to instrument) -> use `deliver-prd` first - You are analyzing data you already collect -> use `measure-experiment-results` or `measure-survey-analysis` ## Instructions When asked to create an

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Instructions
  4. Output Format
  5. Quality Checklist
  6. Examples
Ships with 4 files
  • HISTORY.md
  • evals/trigger-fixtures.json
  • references/EXAMPLE.md
  • references/TEMPLATE.md
More from pm-skills
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About this skill
What does the measure-instrumentation-spec skill do?

Specifies what analytics events to track, when they fire, and what properties to include, as a contract between product and engineering that prevents undertracked features. Use before engineering builds a feature or when auditing existing tracking for gaps. For the dashboard built on top of these events, use measure-dashboard-requirements instead.

How do I install it?

Run `npx skills add product-on-purpose/pm-skills --skill measure-instrumentation-spec --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From product-on-purpose/pm-skills, a repository with 518 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going