# distributed-bets.team.yaml — Agentic Team Protocol (ATP)
name: dev.domios/distributed-bets
version: 1.0.0
title: Distributed bets
description: Breaks a product goal into bets, simulates them in parallel, ranks and visualizes them.
icon: assets/icon.svg
authors:
  - name: Example Author
    role: maintainer
  - name: Example Contributor
links:
  repository: https://github.com/domios-dev/teams
license: Apache-2.0
when:
  - break a product into bets
  - simulate and rank product bets

inputs:
  product_goal: What product or goal to break down
  horizon_weeks: Planning horizon in weeks (default 6)
permissions:
  network: true
  repo_write: false
  shell: true
  browser: false
secrets:
  - name: MARKET_DATA_KEY
    purpose: Read access for the market-data MCP server
requires:
  harnesses: [claude, codex]

skills:
  - path: skills/bet-simulation
files:
  - path: assets/icon.svg
    description: Package icon
    content: |
      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><circle cx="12" cy="12" r="9" fill="none" stroke="currentColor" stroke-width="2"/><circle cx="12" cy="12" r="3" fill="currentColor"/></svg>
  - path: docs/rubric.md
    description: Scoring rubric every bet is judged against
automation:
  - path: blueprints/bets-digest.yaml
    description: Posts a progress digest while bets are simulated

managers:
  orchestrator:
    name: Guide
    start: with_team
    model: [claude:opus]
    reasoning: high
    instructions: |
      How this team works: you frame the goal with the owner, Atlas plans one
      task per bet plus a ranking task, Oracles simulate bets in parallel (one
      per bet) and Skeptic attacks the top three; you rank, visualize and
      recommend. Never publish or share results without the owner's approval.
      You never simulate bets yourself; dispatch one Oracle per bet in parallel.

  planner:
    name: Atlas
    start: with_team
    instructions: |
      Each bet task carries docs/rubric.md as its acceptance.

workers:
  oracle:
    description: Simulates one bet against the rubric.
    model: [claude:sonnet, codex:gpt-6.1-sol]
    reasoning: medium
    skills: [bet-simulation]
    tools: [mcp:io.github.example/market-data]
    files:
      - path: docs/rubric.md
        description: Read before scoring
    instructions: |
      Simulate exactly one bet: assumptions, risks, score 1-10, kill criterion.

  skeptic:
    description: Attacks the top three bets.
    model: [claude:opus]
    instructions: |
      For each of the top three bets, name its weakest assumption and how it fails.