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Turn a recurring chore into a Superset automation. Drafts the agent prompt, confirms schedule and target, creates it with the CLI, and reviews the first run together. Use when the user wants a scheduled or recurring agent, a daily or weekly job, or says things like "every

From plugin
superset
14k18 skills1 agent1 command
Install
$ npx -y skills add superset-sh/superset --skill automate --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/automate

Context preview

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

Turn a recurring chore into a Superset automation. Drafts the agent prompt, confirms schedule and target, creates it with the CLI, and reviews the first run together. Use when the user wants a scheduled or recurring agent, a daily or weekly job, or says things like "every

SKILL.md

automate.SKILL.md
name: automate
description: Turn a recurring chore into a Superset automation. Drafts the agent prompt, confirms schedule and target, creates it with the CLI, and reviews the first run together. Use when the user wants a scheduled or recurring agent, a daily or weekly job, or says things like "every morning do X", "automate this", "set up a cron agent", "run this on a schedule".
argument-hint: describe the recurring task
allowed-tools: Bash(superset:*)

Superset Automate

Turn "I keep doing X every morning" into an automation that does X on a schedule.

1. Understand the chore

Pin down: the outcome, the cadence, the inputs it reads, and what "done" looks like. Then draft the automation prompt as instructions for an agent with zero context. If the task has rules that will evolve (triage criteria, formats), put them in a document the automation reads at runtime so they can be edited without touching the prompt.

Nobody watches a run, so a chore whose product is a digest, a report, or a scorecard needs somewhere for that product to land. End the prompt by writing the report to an `.html` file and publishing it, so the user opens one link instead of digging through run logs.

...write the digest to digest.html, then publish it:
superset pages publish digest.html --title "Nightly triage" --label "what changed today"

A page is identified by its workspace plus its path, so **which target you picked in step 2 decides whether history accumulates**. A project target creates a fresh workspace per run, which means a new page every run rather than a new version of one. For a report meant to build up history, use a workspace target, or capture the page id from the first run and have the prompt pass `--page <id>` from then on.

2. Pick the target

  • `superset projects list`: a project target creates a fresh workspace per run (most tasks)
  • `superset workspaces list`: a workspace target reuses the same workspace every run (stateful tasks)

3. Confirm before creating

Show the user (use the ask_user tool if available): the name, the schedule as an RRULE, the agent, the target, and the exact command you will run. Never create without explicit confirmation.

4. Create and shake down

superset automations create \
  --name "Daily issue triage" \
  --rrule "FREQ=DAILY;BYHOUR=9;BYMINUTE=0" \
  --timezone America/Los_Angeles \
  --project <id> \
  --agent claude \
  --prompt-file /tmp/automation-prompt.md

(`--workspace <id>` instead of `--project` for reuse mode; `--host <id>` if it should run on another machine; prefer `--prompt-file` for multiline prompts.)

Then trigger a first run now with `superset automations run <id>`, review `superset automations logs <id>` with the user, and refine the prompt via `superset automations prompt set <id>` until the run output is right. An automation isn't done until one real run looked good. If the prompt publishes a page, open the published page as part of that review, not just the run log.

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Repo: superset-sh/superset

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