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Team Role Launchkit
作者
Christopher Wheeler
· GitHub ↗
· v1.0.0
· MIT-0
70
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当前安装
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版本数
在 OpenClaw 中安装
/install team-role-launchkit
功能描述
Launch clone-like multi-agent workflows using explicit role prompts (researcher, builder, editor), strict handoff contracts, and shared behavior files for co...
安全使用建议
This is an instruction-only template for coordinating Researcher/Builder/Editor roles and appears internally consistent. It does not request credentials, install software, or call external endpoints. Things to consider before installing: (1) the skill suggests promoting results to durable memory — if that concerns you, disable memory writes or review what gets saved; (2) the skill allows autonomous invocation by default — if you prefer manual control, restrict autonomous runs; (3) ensure any external/public actions are explicitly approved by the operator as the SKILL.md recommends. If you want a deeper check, request the author reveal any runtime hooks or platform-specific memory calls the skill will use.
功能分析
Type: OpenClaw Skill
Name: team-role-launchkit
Version: 1.0.0
The skill bundle is a workflow orchestration framework designed to manage multi-agent tasks through role-playing (Researcher, Builder, Editor). It contains only Markdown documentation and templates (SKILL.md, references/handoff-contract.md, and references/role-prompts.md) with no executable code, scripts, or network-enabled instructions. The instructions emphasize safety, approval policies, and memory hygiene, posing no risk of data exfiltration or unauthorized execution.
能力评估
Purpose & Capability
Name, description, and included files (handoff contract and role prompts) align with a multi-agent orchestration helper. There are no unrelated environment variables, binaries, or external integrations requested.
Instruction Scope
SKILL.md and the referenced prompt files confine behavior to role definitions, handoff contracts, and operator review. The only operational directive with potential persistence is the line 'Capture durable outcomes in memory' — otherwise instructions do not access files, credentials, or external endpoints. This is within scope but you should be aware it encourages storing outputs in agent memory.
Install Mechanism
No install spec or code files — instruction-only. No downloads, package installs, or extracted archives are present.
Credentials
The skill declares no required env vars, credentials, or config paths. Nothing is requesting secrets or access beyond what the platform already provides.
Persistence & Privilege
always is false and the skill is not force-included. However the instructions explicitly recommend promoting outcomes to durable memory; if your agent platform persists memory, that could store user data long-term. Consider whether you want the agent to write to memory and whether autonomous invocation should be limited for this workflow.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install team-role-launchkit - 安装完成后，直接呼叫该 Skill 的名称或使用
/team-role-launchkit触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: clone-like multi-role workflow with handoff contracts and role prompts
元数据
常见问题
Team Role Launchkit 是什么？
Launch clone-like multi-agent workflows using explicit role prompts (researcher, builder, editor), strict handoff contracts, and shared behavior files for co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 70 次。
如何安装 Team Role Launchkit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install team-role-launchkit」即可一键安装，无需额外配置。
Team Role Launchkit 是免费的吗？
是的，Team Role Launchkit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Team Role Launchkit 支持哪些平台？
Team Role Launchkit 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Team Role Launchkit？
由 Christopher Wheeler（@cwheeler67）开发并维护，当前版本 v1.0.0。
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