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POWER.md

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name ona
displayName Offload to Ona
author Ona
license MIT
description Detect when work belongs in Ona, resolve the current repo to a project, and use the Ona CLI to launch environments, start one-off AI executions, or create, update, and start AI automations with explicit confirmation.
keywords
ona
ona cli
run in ona
launch in ona
create ona environment
ona project
ona automation
prepare repo for ona
dev container for ona
gitpod
linear in ona
sentry in ona
draft pr in ona
private network in ona

Onboarding

Use this power when the user wants help deciding whether work belongs in Ona, launching the next step with the Ona CLI, or preparing a repository so it is ready for Ona later.

When this power first activates:

  1. Decide whether the task should stay local or move to Ona.
  2. If the user wants direct Ona execution and Kiro can run shell commands, use the safe preflight checks listed below.
  3. If the Ona CLI is unavailable but the user wants to prepare the repository for Ona, switch to the local setup path instead of stopping.

License and support

Safe preflight checks

When command execution is available, use these in order:

  • command -v ona
  • ona whoami -o json
  • git remote get-url origin
  • ona project list --limit 1000 -o json
  • ona environment list -a -o json
  • ona ai automation list -o json

Do not run side-effecting commands during preflight.

For project selection specifically:

  • do not reason directly from the raw ona project list --limit 1000 -o json output in chat
  • after preflight, use the combined filtering and ranking command from steering/login-and-readiness.md
  • only present repo-matching, ranked candidates to the user
  • prefer a single shell command that invokes ona project list, ona environment list, and python3 together
  • do not ask Kiro to materialize intermediate JSON temp files from prior command output for ranking

Side-effecting commands

Only run these after explicit user confirmation:

  • ona login
  • ona login --no-browser
  • ona project create <repo-url> ...
  • ona environment create <project-id> --dont-wait --set-as-context ...
  • ona environment start <environment-id> --set-as-context
  • ona ai automation execute - --environment-id <environment-id>
  • ona ai automation create <path-to-yaml>
  • ona ai automation update <automation-id> <path-to-yaml>
  • ona ai automation start <automation-id> --project <project-id>

When building a command:

  • use only flags that were validated from the live CLI help or from a successful earlier run
  • do not assume every command supports -o json
  • for ona environment create, prefer the plain command because it already prints the environment ID directly

Response contract

For Ona-oriented responses, keep this section order:

  1. Why Ona
  2. Recommended path
  3. Readiness
  4. Next step
  5. Ona prompt
  6. Additional setup needed

Next step should say whether the power can run the action now or what setup or confirmation is still needed.

What not to claim

This version is a CLI-backed launcher and local setup helper. Do not claim that it can:

  • run arbitrary ona environment exec commands
  • create brand new automation task definitions or services from natural language alone
  • write automation config directly into an existing remote environment
  • open an editor automatically unless the user asks

Steering Instructions

Use steering files for the detailed workflows and best practices instead of repeating them here:

  • Deciding whether to stay local or move to Ona: steering/delegate-to-ona.md
  • Determining readiness, project resolution, Git auth, or integration gaps: steering/login-and-readiness.md
  • Running the CLI-backed launch flow: steering/execution-flow.md
  • Preparing a repository locally for Ona: steering/local-setup-flow.md
  • Turning repeated work into an automation recommendation: steering/automation-handoff.md
  • Checking whether a repo is ready for project creation: steering/repo-readiness.md

Global Rules

  • Prefer Ona for long-running, secure, internal-network-dependent, or repeatable work.
  • Prefer staying local for short, interactive work.
  • Use a project-first strategy whenever a project match exists.
  • Filter and rank matching projects before presenting them. Do not dump raw ona project list output into the chat.
  • For multiple project matches, use the explicit combined ranking command from steering/login-and-readiness.md instead of improvising from the raw JSON.
  • Treat one-off long-running requests as prompt-driven AI execution, not as recurring automation.
  • Treat user-facing recurring requests as AI automations. Do not route them to .ona/automations.yaml tasks or ona automations task ....
  • For recurring AI automations, persist the automation definition in the repo before creating or updating it in Ona.
  • Scope environment reuse to the current Kiro session by default. Do not attach a new task to some other existing environment unless the user explicitly asks.
  • Ask for confirmation before starting a side-effecting flow, not before every single command inside an already approved flow.
  • Treat one-off AI executions as background handoffs. Once Ona has accepted the run, report that it was handed off instead of waiting for completion in chat.
  • After a one-off AI execution is handed off, stop. Do not poll, retry, or issue follow-up status-check commands unless the user explicitly asks for an update later.
  • For one-off AI execution, prefer a wrapped shell command that captures noisy CLI logs and prints a short handoff confirmation plus the environment link.
  • For one-off AI execution, never interpolate raw user prompt text into a fixed shell heredoc delimiter. Serialize the prompt into a temp spec file safely and clean up temp files with trap.
  • Separate Ona login from Git auth and integrations in both reasoning and user-facing output.
  • If the Ona CLI is missing and the user wants direct Ona execution or AI automations, tell them how to install it first. Prefer brew install gitpod-io/tap/ona, and also point them to https://ona.com/docs/ona/integrations/cli.
  • If the user is trying to get a repo Ona-ready, do not block on the CLI; offer local Dev Container and automation setup instead.
  • Use the canonical setup prompt for local repo-preparation flows rather than inventing a shorter one.
  • Preserve the user's original prompt for one-off Ona execution instead of replacing it with a repo task name.
  • Keep one-off AI execution YAML ephemeral. Only suggest saving YAML under .ona/ when the user wants a reusable workflow.