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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.
Passed 15 of 20 test cases with the skill, and 10 of 20 without it.
and 6 more in the full report
6 fixed11 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running `superset automations create` for a scheduled task, which CLI flag specifies which underlying LLM agent engine (e.g., claude) executes the task prompt?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the --agent flag. | Missed | Passed |
The instructions your model reads when the skill loads.
Turn "I keep doing X every morning" into an automation that does X on a schedule.
Pin down: the outcome, the cadence, the inputs it reads, and what "done" looks like. Then draft the automation prompt — write it as instructions for an agent with zero context, and 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.
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)Show the user (use the ask_user tool if available): the name, the schedule as an RRULE, the agent, and the target — plus the exact command you will run. Never create without explicit confirmation.
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.
test cases passed, vs 10 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.