Agent Team Orchestration for OpenClaw: Multi-Agent Workflow Playbook

What it does

Agent Team Orchestration is an instruction-only OpenClaw skill for running sustained multi-agent workflows. It defines a simple operating model: an orchestrator routes work and tracks state, builders produce artifacts, reviewers check output, and ops agents handle recurring mechanical work. The skill also documents task states, handoff content, shared artifact paths, and review loops.

The value is operational discipline. Instead of spawning agents ad hoc, it gives teams a shared vocabulary for task lifecycle, ownership, review, and escalation.

Who should use it

Use this candidate if you run more than one agent against recurring work: coding pipelines, research queues, content operations, QA passes, or internal automation. It fits teams that already have explicit owner context and need repeatable handoffs between agents.

Skip it for single-agent work, one-off delegation, or simple question routing. The skill adds coordination overhead and should only be used where that overhead prevents dropped artifacts, unclear ownership, or unreviewed output.

Setup surface

The source material describes an OpenClaw install flow through ClawHub and OpenClaw CLI. The ClawHub artifact lists Markdown files only: SKILL.md, skill-card.md, and reference Markdown files for team setup, task lifecycle, communication, and workflow patterns.

Pricing is classified as free because the public index metadata exposes a zero-dollar offer and no paid gate was visible during source review. The ClawHub skill card also states commercial and non-commercial use, while leaving license terms blank.

Runner test plan

Before treating this as an approved LinkLoot recommendation, Runner AI Review should produce artifacts for:

• Static scan: inspect every Markdown file for hidden instructions, prompt-injection attempts, unsafe role changes, secret handling, and commands that could affect external systems.
• Dependency/install review: confirm the bundle is Markdown-only, verify the ClawHub file list, check whether installation creates files outside the intended skill directory, and record any missing license metadata.
• Prompt-injection/tool-poisoning review: check whether the orchestration instructions could override user approval, encourage uncontrolled sub-agent spawning, expose shared workspaces, or bypass budget and concurrency limits.
• Sandbox execution: install or load the skill only inside an isolated Runner environment, then verify that no unexpected network, filesystem, subprocess, or credential access occurs during load.
• Screenshot/video when UI or command output exists: capture the ClawHub page, file list, install output, and any OpenClaw skill-loading output from the sandbox run.
• Residual risks: document unresolved questions around shared directories, persistent role files, human approval gates, agent budget limits, and access control for any team workflow that uses this playbook.

Risk notes

This candidate has a lower execution surface than tool-heavy skills because the inspected artifact is a playbook made of Markdown. That does not make it automatically safe. Multi-agent orchestration can increase spend, create confusing ownership, or expose shared artifacts if the operator does not define boundaries.

The main review focus should be governance: who may spawn agents, where artifacts can be written, what requires human approval, and how shared protocol files are protected from untrusted edits. Do not mark it production-ready until Runner evidence exists.

Source links

• Awesome OpenClaw Skills list: https://raw.githubusercontent.com/VoltAgent/awesome-openclaw-skills/main/categories/git-and-github.md
• ClawSkills index entry: https://clawskills.sh/skills/arminnaimi-agent-team-orchestration
• ClawHub page: https://clawhub.ai/arminnaimi/agent-team-orchestration
• Source file: https://clawhub.ai/api/v1/skills/agent-team-orchestration/file?path=SKILL.md
• Skill card source: https://clawhub.ai/api/v1/skills/agent-team-orchestration/file?path=skill-card.md
• Team setup reference: https://clawhub.ai/api/v1/skills/agent-team-orchestration/file?path=references%2Fteam-setup.md