pi-goals

Make a short list of goals in one Markdown plan file. This is easy to review, and a subagent can check whether each goal is complete.

The plan file looks like this:

## <short plan title>

<context: one short paragraph. What the human wants and why.>

### User-visible result

<one concrete sentence naming the final artifact or behavior the human will inspect>

### User voice

- │ "<the human's requirement, quoted in full word for word (with spelling fixes)>"

### Goals

1. [ ] goal: <one short judgeable imperative outcome>
- subtle failure mode: <a way this could look done but isn't>
- discriminator: <the concrete observation that tells real success from that failure>
- tasks:
    1. [ ] <subtask>
- evidence: (empty until sign-off)

### Future work / out of scope

### Log

### Interview

### Learnings

### Papercuts - problems, gotchas, suggestions

Related work

Like pi-milestones and burneikis/pi-plan, it guides rather than guards. The reminder cadence is copied from tintinweb/pi-tasks and the resync-after-compaction from tmonk/pi-goal-x.

Install

pi install npm:@wassname2/pi-goals

Or for development:

git clone https://github.com/wassname/pi-goals && cd pi-goals && npm install
pi -e ./src/index.ts

Use

/goals CSV export for the report view

/goals enters plan mode and starts a conversation; the objective is an optional seed. From there:

1. Plan. The agent explores read-only and drafts the plan.
2. Review. After Pi settles, the full plan is printed in the transcript. Check that User-visible result names the final artifact or behavior you expect. The menu offers Ready, Refine, Edit, or Cancel. Refine collects short notes. Edit opens the full plan in Pi's editor.
3. Work. Ready is the only review action that starts work. The agent ticks subtasks, appends to ## Log and ## Learnings, fills evidence:, and calls CompleteGoal when a discriminator is satisfied. Every human reply and Refine note in plan mode is saved verbatim under ## Interview. After eight turns without a change above ## Log, the working set is sent back with a short upkeep reminder.

Other commands: /goals --clear disconnects this session from its active plan, preserving the versioned file on disk; /goals --auto [minutes|off] continues active goals after the agent settles and then on that interval. It pauses after two automatic wakes with no working-plan change; /goals --judge <model-ref> picks a sign-off judge model (default: your current session model, else pi's default). The -- prefix keeps ordinary objectives such as judge model quality from being parsed as commands.

Prompts

All model-facing text lives in src/prompts.ts, in flow order.

Develop

pi -e ./src/index.ts        # load locally
npm test                    # all unit, flow, and Pi RPC tests
npm run test:rpc            # Pi RPC review flow with a local offline model
npm run typecheck
npm run lint

License

MIT