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oma-coordination

Coordinate assigned specialist tasks and handoffs manually. Use

Install / Use

npx skills add first-fluke/oh-my-agent --skill oma-coordination

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Category

Automation

Supported Platforms

Universal

Our assessment of oma-coordination

oma-coordination scores 87/100 on our quality scale, 1637th of 2,864 Automation skills we index.

Its SKILL.md is 7.4 KB long, well organised into 33 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 1,324 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 11 days ago, so oma-coordination is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

oma-coordination compared with similar skills

All 4 of these similar skills score higher than oma-coordination; compare them before choosing.

SkillScoreStarsUpdatedFormat
oma-coordination (this skill)by first-fluke871.3k11d agoSKILL.md
Agent-Reachby Panniantong10091.2k19d agoCLAUDE.md
Scraplingby D4Vinci10085.7ktodayMCP Server
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algorithmic-artby anthropics100177.9k12d agoSKILL.md

Frequently asked questions

How do I install oma-coordination?
Run npx skills add first-fluke/oh-my-agent --skill oma-coordination. The install tabs above show the steps for each supported agent.
Which AI agents does oma-coordination work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is oma-coordination safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is oma-coordination still maintained?
The repository was last updated 11 days ago, so oma-coordination is actively maintained.

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. Reuse a current plan and handoff state; use PM when task decomposition or contract changes are needed.
  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 reports a blocking defect or required verification gap, route the affected work to the responsible agent within the existing recovery budget.

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 | injected task/run-scoped progress, claims, and receipts | | 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

# If planning is required, dispatch the declared PM task first; otherwise reuse the current plan.
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: --vendor <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.
  • A current plan identifies task ownership, acceptance checks, dependencies, and priority tiers.

Effects and side effects

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

Guardrails

  1. Reuse a valid plan; call PM only when decomposition or contract changes are required
  2. Spawn independent tasks in parallel (same priority tier)
  3. Reuse or update contracts for changed API boundaries before dependent frontend/mobile work
  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 search only for paths outside this project or ignored paths when unavailable or timed out
  7. Resume from the current handoff state and execute applicable steps in dependency order; record why a branch is not applicable

Workflow

Step 1: Plan with PM Agent

Reuse an existing valid plan. Otherwise, PM analyzes requirements and creates the task breakdown, acceptance checks, contracts, and priorities. Preserve injected session/task/run IDs; do not regenerate a plan already frozen by dispatch.

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-prompt.md session-id --task-id plan.backend_task.id -w ./backend &
oma agent spawn frontend frontend-prompt.md session-id --task-id plan.frontend_task.id -w ./frontend &
wait

Step 3: Monitor & Coordinate

  • Read injected run artifacts and receipts. Human-readable progress/results use {memoryConfig.basePath}/progress-{agentId}-{taskId}-{runId}-{sessionId}.md and the corresponding result- name; see ../_shared/runtime/memory-protocol.md. Keep the structured claim path unchanged.
  • Verify API contracts align between agents
  • Ensure shared data models are consistent

Step 4: QA Review

Review the coordinated deliverables with QA. Resolve blocking defects and required verification gaps through the responsible agents; rerun affected checks before finalizing.

Automated Alternative

For fully automated execution without manual spawning, use the orchestrator skill instead.

References

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAutomation
Updated11d ago
Forks151

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions