Skills

Teammode

Codex-only team orchestration: run a named team of cooperating Codex workers with...

Install

npx skills add code-yeongyu/oh-my-openagent --skill teammode -g -a claude-code -y
Category
AI and agents
Updated
3d ago
License
See repository
Context cost
Mediumabout 3,000 tokens
Runs scripts
Yes, review before use

What it does

Codex-only team orchestration: run a named team of cooperating Codex workers with durable, script-managed state. MUST USE when the user asks Codex to create, run, coordinate, inspect, archive, or delete a team of agents/threads/sessions, or to work on something as a team in parallel. FIRST inspects the active tool surface (checking tool_search for deferred tools) and tells the user the route: native MultiAgentV2 agents (flat spawn_agent with task_name) when available, Codex App threads as the fallback, or a plain-subagent split when neither set exists. The main session is always the leader; members are defined by a concrete part, ownership area, or perspective - never a vague job role; a bundled cross-platform script writes the .omo/teams state plus an auto-generated member field manual. Use a team when the work is not perfectly isolated but parallelizing helps; use plain subagents when scope is perfectly isolated or the goal is ambiguous. Triggers: team mode, teammode, make a team, run as a team, team of agents, coordinate threads, parallel Codex threads, archive the team.

Teammode

Run a named team of cooperating Codex workers under one leader, with durable state on disk. This is a Codex-only workflow. It never depends on an external terminal runner - it coordinates through Codex's own collaboration tools plus a bundled state script, on ONE of two transports chosen up front: native MultiAgentV2 agents, or Codex App threads as the fallback.

When to use a team (and when to use plain subagents instead)

Use a TEAM when EITHER holds:

  • the work does NOT split into perfectly isolated pieces, but doing it in parallel is clearly more convenient - members will need to see and react to each other's findings; or
  • one task still needs exploration, yet its GOAL is already clear - parallel investigation under a fixed objective.

Use plain fire-and-forget subagents ($ulw / one-off spawn_agent workers) - NOT a team - when EITHER holds:

  • the work IS perfectly isolated, so there is no coordination cost worth paying; or
  • the GOAL is still ambiguous, where one mind should resolve direction before any fan-out.

A team buys cross-member coordination at a real overhead cost; only spend it when coordination is the thing you actually need.

Pick the transport FIRST - then tell the user

Before creating any team state, decide which transport this session can run. Inspect your active tool list and select:

Read the whole SKILL.md on GitHub

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