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/oma-coordination

Coordinate assigned specialist tasks and handoffs manually. Use

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oma
1.3k33 skills12 agents4 hooks3 MCP
Install
$ npx -y skills add first-fluke/oh-my-agent --skill oma-coordination --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/oma-coordination

Context preview

The summary Claude sees to decide when to auto-load this skill.

Coordinate assigned specialist tasks and handoffs manually. Use

SKILL.md

oma-coordination.SKILL.md
name: oma-coordination
description: Coordinate assigned specialist tasks and handoffs manually. Use
  when supervising a multi-agent project step by step.

Multi-Agent Workflow Guide

Scheduling

Goal

Guide manual multi-agent coordination for complex work that spans PM, frontend, backend, mobile, and QA responsibilities.

Intent signature

  • User wants step-by-step coordination, manual agent spawning, or multi-domain work planning without full automation.
  • Task spans multiple specialist agents and requires contract alignment.

When to use

  • Complex feature spanning multiple domains (full-stack, mobile)
  • Coordination needed between frontend, backend, mobile, and QA
  • User wants step-by-step guidance for multi-agent coordination

When NOT to use

  • Simple single-domain task -> use the specific agent directly
  • User wants automated execution -> use orchestrator
  • Quick bug fixes or minor changes

Expected inputs

  • Complex feature or project goal
  • Required domains and priority tiers
  • Workspace/session constraints and API/data contract needs

Expected outputs

  • Manual coordination sequence
  • PM task decomposition, agent spawn order, monitoring guidance, and QA review step
  • API/data contract alignment checkpoints

Dependencies

  • PM, frontend, backend, mobile, QA, and orchestrator skills
  • CLI `oma agent spawn` and progress/result memory conventions

Control-flow features

  • Branches by task complexity, priority tiers, dependency ordering, and whether automation is desired
  • Spawns independent same-priority tasks in parallel when appropriate
  • Monitors progress files and contract alignment

Structural Flow

Entry

1. Confirm the task is complex enough for multi-agent coordination. 2. Start with PM task decomposition. 3. Identify priority tiers and shared contracts.

Scenes

1. **PREPARE**: Define session, domains, and task decomposition needs. 2. **ACT**: Spawn agents by priority with separate workspaces. 3. **VERIFY**: Monitor progress and API/data contract alignment. 4. **FINALIZE**: Run QA review and coordinate remediation.

Transitions

  • If task is simple, route to one specialist.
  • If user wants automated execution, use orchestrator.
  • If QA finds CRITICAL issues, re-spawn responsible agents.

Failure and recovery

  • If contracts diverge, pause downstream frontend/mobile work until backend/API contract is reconciled.
  • If agent workspaces conflict, split ownership boundaries.
  • If progress stalls, inspect progress files and reissue focused instructions.

Exit

  • Success: specialist outputs are coordinated and QA-reviewed.
  • Partial success: blocked agents, contract conflicts, or QA failures are explicit.

Logical Operations

Actions

| Action | SSL primitive | Evidence | |--------|---------------|----------| | Read request and domains | `READ` | User prompt and project context | | Select agent plan | `SELECT` | PM decomposition and priority tiers | | Spawn agents | `CALL_TOOL` | `oma agent spawn` | | Monitor progress | `READ` | `progress-{agent}[-{sessionId}].md` | | Validate contracts | `VALIDATE` | API/data model alignment | | Notify coordination status | `NOTIFY` | Final coordination summary |

Tools and instruments

  • `oma agent spawn`, PM/frontend/backend/mobile/QA agents
  • Memory/progress/result files
  • Configured code intelligence, with native fallback per `../_shared/core/code-intelligence.md`

Canonical command path

oma agent spawn pm <pm-prompt-file> <session-id> --task-id <plan.pm_task.id> -w ./pm
oma agent spawn backend <backend-prompt-file> <session-id> --task-id <plan.backend_task.id> -w ./backend &
oma agent spawn frontend <frontend-prompt-file> <session-id> --task-id <plan.frontend_task.id> -w ./frontend &
wait

When native runtime dispatch is available (per-agent target vendor equals the current runtime vendor), prefer the runtime's native subagent path and use `oma agent spawn` as the cross-vendor fallback — same resolution rule as oma-orchestration.

Useful `agent spawn` options: `-m/--model <vendor>` (CLI vendor override), `--isolation worktree` (git worktree per spawn, prevents file conflicts), `--read-only` (non-destructive tools only, e.g. for review/QA passes).

Resource scope

| Scope | Resource target | |-------|-----------------| | `LOCAL_FS` | Progress/result files and workspaces | | `PROCESS` | Agent spawn commands | | `MEMORY` | Session state and task board | | `CODEBASE` | Shared contracts and implementation areas |

Preconditions

  • Task requires multiple domains.
  • PM decomposition can identify independent priority tiers.

Effects and side effects

  • Spawns or guides multiple agents.
  • Coordinates workspace ownership and QA feedback.

Guardrails

1. Always start with PM Agent for task decomposition 2. Spawn independent tasks in parallel (same priority tier) 3. Define API contracts before frontend/mobile tasks 4. QA review is always the final step 5. Assign separate workspaces to avoid file conflicts (or use `--isolation worktree` for a git worktree per spawn) 6. Follow `../_shared/core/code-intelligence.md`: discover configured tools, do not auto-install or track, and use native scoped search when unavailable or timed out 7. Never skip steps in the workflow; follow each step sequentially without omission

Workflow

Step 1: Plan with PM Agent

PM Agent analyzes requirements, selects tech stack, creates task breakdown with priorities.

Step 2: Spawn Agents by Priority

Resolve the dispatch path per agent, then spawn:

1. Resolve the per-agent target vendor from oma-config.yaml (`agents:` override, else `model_preset`) 2. If the target vendor equals the current runtime vendor and a native subagent path exists, use native dispatch 3. Otherwise use `oma agent spawn` for that agent 4. Spawn all same-priority tasks in parallel using background processes

# Example: spawn backend and frontend in parallel
oma agent spawn backend backend-pro
Read more
Ships withoma

Agents narrate success. oh-my-agent checks the artifacts. Spawning parallel agents is the easy part. The hard part is knowing whether they actually did the work.

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