measure-dashboard-requirements SKILL.md skillA

measure-dashboard-requirements from product-on-purpose/pm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/pm-skills/measure-dashboard-requirements@v2.2.0

Pins v2.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/pm-skills
Path
skills/measure-dashboard-requirements/SKILL.md
Versions recorded
5
Latest version
v2.2.0, committed Jul 5, 2026
First version recorded
Mar 25, 2026
Size
4,178 bytes
Repository stars
790
License
Apache-2.0

Specifies what questions a dashboard must answer and the metrics, visualizations, filters, and data sources it needs, so data teams build something that informs decisions rather than displaying numbers. Use when requesting a dashboard or formalizing ad-hoc reporting. For the event tracking that feeds the dashboard, use measure-instrumentation-spec instead; instrument first, visualize second.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
# Dashboard Requirements

A dashboard requirements document specifies what questions a dashboard should answer, what metrics it displays, and how data should be visualized. Clear requirements help data teams build dashboards that actually inform decisions rather than just displaying numbers.

## When to Use

- When requesting a new dashboard from data/analytics teams
- To define KPI tracking for a product, feature, or team
- When formalizing ad-hoc reporting into a persistent dashboard
- Before quarterly planning to specify what visibility you need
- When onboarding stakeholders who need self-serve analytics

## When NOT to Use

- You need the event tracking that feeds dashboards -> use `measure-instrumentation-spec`; instrument first, visualize second
- You are designing an experiment readout, not a standing dashboard -> use `measure-experiment-design` and `measure-experiment-results`
- You want OKR progress scored at cycle close -> use `measure-okr-grader`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/pm-skills/measure-dashboard-requirements@sha256:750eec4476610386

The line at the top of this page pins the label v2.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6amy5tapar4xkz7f.svg)](https://markdownregistry.com/a/art_6amy5tapar4xkz7f)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jul 5, 2026, about one every 26 days.

versioncommittedcommitsizeaudit
v2.2.0 latest2026-07-05 87e423c 4,178 BA view · diff
v2.1.02026-06-11 695f126 3,998 BA view · diff
v2.0.02026-05-20 be1352b 3,229 BA view · diff
v2.0.02026-04-23 8ab0f81 3,223 BA view · diff
v2.0.02026-03-25 0ab0a60 3,225 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4178 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/pm-skills · 790 stars · license Apache-2.0 · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6amy5tapar4xkz7f
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/pm-skills/measure-dashboard-requirements
GET https://markdownregistry.com/api/v1/blob/750eec4476610386e3b003455900f1fc26d35670b0a250097afc5a47e8703e36

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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