Hatchet CLI Agent Skills
This skill package teaches AI agents how to use the Hatchet CLI to manage workflows, workers, and runs.
When to use these skills
Read the relevant reference document before performing any Hatchet CLI task:
- Setting up the CLI or creating a profile →
references/setup-cli.md - Starting a worker →
references/start-worker.md - Triggering a workflow and waiting for results →
references/trigger-and-watch.md - Debugging a failed or stuck run →
references/debug-run.md - Replaying a run with the same or new input →
references/replay-run.md
Key conventions
- Always specify a profile with
-p HATCHET_PROFILEunless a default profile is set. - Use
-o jsonfor machine-readable output when parsing responses. - Write workflow input to a temp file (e.g.
/tmp/hatchet-input-$(date +%s)-$$.json) to avoid collisions. - Clean up temp files after use.
Source: hatchet-dev/hatchet — distributed by TomeVault.