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Install in OpenClaw
/install xqe-agent-team
Description
Orchestrate a dynamic multi-agent team where a lead agent (opus) plans and delegates tasks to specialized worker agents (sonnet) that communicate bidirection...
Usage Guidance
This skill is coherent for orchestrating multi-agent workflows, but you should still be cautious when using it: only provide sensitive data to an orchestrated team if you're comfortable multiple sub-agents will see it; be mindful of model overrides (they may require provider access or keys outside this skill); monitor spawned sessions and kill them when done to avoid runaway resource use; test workflows in a sandbox before running on production or confidential data. If you have policy or billing limits, restrict which models the skill may spawn and limit parallelism to control cost and blast radius.
Capability Analysis
Type: OpenClaw Skill
Name: xqe-agent-team
Version: 1.0.0
The skill bundle provides a legitimate framework for multi-agent orchestration within the OpenClaw environment. It defines a workflow for a lead 'Orchestrator' agent to delegate tasks to specialized 'Worker' agents using session management tools like `sessions_spawn` and `sessions_send`. The instructions in SKILL.md and the templates in references/role-patterns.md are focused on productivity tasks such as code review, market research, and debugging, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name/description describe orchestrating an orchestrator + worker agents; SKILL.md contains only orchestration instructions (spawning subagents, passing messages, synthesizing results). There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
Runtime instructions are focused on planning, spawning workers, relaying messages, and aggregating results. They reference platform session tools (sessions_spawn, sessions_send, subagents) which is expected for this purpose. The instructions do not ask to read local files, system configs, or unrelated env vars.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is downloaded or written to disk by the skill package itself.
Credentials
The skill declares no required credentials or env vars (appropriate). One minor note: SKILL.md suggests overriding worker models with explicit model identifiers (e.g., "anthropic/claude-opus-4-6"); that implies the platform or runtime must have access to those models or keys, but the skill itself does not request or require credentials — this is a usage-time operational concern rather than a packaging inconsistency.
Persistence & Privilege
always is false and disable-model-invocation is not set — normal defaults. The skill does not request persistent installation, nor does it attempt to modify other skills or system-wide config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xqe-agent-team - After installation, invoke the skill by name or use
/xqe-agent-team - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Dynamic multi-agent orchestration: opus orchestrator + sonnet workers, bidirectional comms, progress relay
Metadata
Frequently Asked Questions
What is XQE Agent Team?
Orchestrate a dynamic multi-agent team where a lead agent (opus) plans and delegates tasks to specialized worker agents (sonnet) that communicate bidirection... It is an AI Agent Skill for Claude Code / OpenClaw, with 117 downloads so far.
How do I install XQE Agent Team?
Run "/install xqe-agent-team" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is XQE Agent Team free?
Yes, XQE Agent Team is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does XQE Agent Team support?
XQE Agent Team is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created XQE Agent Team?
It is built and maintained by AA-rick (@aa-rick); the current version is v1.0.0.
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