hatchet-cli

# 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` - **Running Hatchet locally without a token (embedded mode)** → `references/local-dev-embedded.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 - For local development, prefer embedded mode: no token, account, or server needed (`references/local-dev-embedded.md`). - Always specify a profile with `-p HATCHET_PROFILE` unless a default profile is set. Embedded mode needs no profile. - Use `-o json` for 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.