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Groupby

Skill agenkin/telemetrydeck-analytics/skills/groupby

Break down an event count or user count by any TelemetryDeck dimension (license, OS version, country, etc.).From its SKILL.md

Install
npx -y skills add agenkin/telemetrydeck-analytics --skill groupby

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `tdq groupby $ARGUMENTS`.

SKILL.md

1.1 KB, 243 tokens by cl100k_base, as published. Nobody here has run it

Groupby

Run a one-dimension breakdown. $ARGUMENTS starts with the dimension name and then any flags:

tdq groupby $ARGUMENTS

Examples:

  • "License split for App_launched, last 30d" → tdq groupby license --event App_launched --interval last-30d
  • "OS major-version breakdown by users, this month" → tdq groupby majorSystemVersion --metric users --interval this-month
  • "License share vs. last period" → tdq groupby license --event App_launched --interval last-30d --compare prior-period
  • "Top countries last week" → tdq groupby countryCode --metric users --interval last-7d

If the user mentions "share" / "mix" / "split", compute percentages client-side from the result and include them in the summary. If they say "vs last month" / "trending", add --compare prior-period.

Always state what the metric represents: --metric count is event count (not users), --metric users is unique clientUser cardinality.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.