# Staffer

Delegate a general-purpose task to Google's Antigravity CLI (agy staffer, fast Gemini)...

- Repository: https://github.com/keli-wen/agy-staff (803 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add keli-wen/agy-staff --skill staffer -g -a claude-code -y`
Codex: `npx skills add keli-wen/agy-staff --skill staffer -g -a codex -y`
Cursor: `npx skills add keli-wen/agy-staff --skill staffer -g -a cursor -y`
Gemini CLI: `npx skills add keli-wen/agy-staff --skill staffer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add keli-wen/agy-staff`

## Description

Delegate a general-purpose task to Google's Antigravity CLI (agy staffer, fast Gemini) with a minimal, unopinionated prompt. Use when the user says /agy:staffer, "have agy do/handle X", "have agy generate an image", or the task fits none of the specialist personas (researcher / reviewer / implementer / ask), the template adds no role, rules, or output format, so the task text alone shapes the output. Also the route to agy-native tools no specialist covers, notably image generation (generate_image).

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# agy staffer

The general-purpose persona: a clean entry point for tasks that none of the specialists fit. Its prompt template is deliberately minimal, the task text, the environment (cwd, branch, date), and the safety guardrails, nothing else. No role framing, no rules, no output format: the task defines its own output, and no unrelated template context can pull the run off course.

Prefer a specialist when one fits: `researcher` for surveys and deep dives, `reviewer` for second opinions on code or plans, `implementer` for edits to the working tree, `ask` for a cheap one-shot question.

staffer is also the route to agy-native tools no specialist covers, notably **image generation**: agy ships a `generate_image` tool (verified on v1.1.15; a 1024×1024 PNG in ~30s). Name the output path in the task, e.g. `staffer --prompt "generate a pixel-art robot mascot, save it as assets/mascot.png"`.

## Locating the companion

This skill file lives at `<plugin-root>/skills/staffer/SKILL.md`; resolve the companion path relative to this skill directory:

```bash
node "<skill-dir>/../../companion/agy-companion.mjs" staffer [flags] --prompt "task"
```

Pass the user's task text verbatim via `--prompt`; use `--prompt-file <path>` or `--stdin` for long text.

> [!IMPORTANT]
> Run this command **unsandboxed**, agy needs a localhost port and its OAuth token file, which harness sandboxes hide. In Codex, request escalated permissions for the command. Details: `../jobs/references/troubleshooting.md`.

## Collecting the result

The command returns a job id. Read `../jobs/SKILL.md` for result collection and recovery: dispatch, wait for the final result, then validate as needed. Do not proactively observe progress, read logs or inspect intermediate artifacts while running. Observe only when the user explicitly asks for progress; diagnose a failure or a result requiring intervention under the jobs protocol.

## Flags (all optional)

The rest: https://github.com/keli-wen/agy-staff/blob/HEAD/skills/staffer/SKILL.md