---
title: Meeseeks
emoji: ⚖️
colorFrom: indigo
colorTo: blue
sdk: docker
app_port: 7860
pinned: true
license: mit
short_description: Author skills once, run on any agent
---

# Meeseeks

Meeseeks turns repeatable computer workflows into structured, **agent-agnostic** skills. The same JSON skill description drops into Claude, GPT, Gemini, or any local model that speaks the open Anthropic Agent Skills format — no translation layer.

This Space is a live demo of the authoring + grounding pipeline:

- **Author** — hand-edit a skill JSON, see the placeholder plan substitute live
- **Bundle** — derive `SKILL.md`, `manifest.json`, and `actions.toon` (token-oriented action format) from one source of truth
- **Receipts** — see the executor's screenshot trail when the skill walks through a real DOM (Playwright + accessibility-tree grounding)

The full project (CLI, runtime, mock paralegal target, sample skills) lives at the root of the repo.

## Why this matters

Today, every agent platform reinvents skill capture: ChatGPT custom GPTs, Claude Skills, GLaDOS plugins, OpenAI Operator macros — all incompatible. Meeseeks is the smallest possible spec that keeps a skill portable across all of them while preserving the grounding metadata (bbox, accessibility role/name, success checks, fallbacks) that makes a skill safe to run.

## Domain

The current sample set is paralegal — discovery objections, meet-and-confer letters — because it's a high-value workflow domain where redacted templates + verified grounding genuinely save hours. The same shape applies to healthcare intake, financial back-office, and code-review workflows.