← 返回 Skills 市场
x-rayluan

Openclaw Ai Marketing

作者 X-RayLuan · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
125
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-ai-marketing
功能描述
Run, audit, or improve an OpenClaw/ClawLite-style AI marketing team as a coordinated multi-lane operating system. Use when the task is to operate or package...
安全使用建议
This is a documentation/runbook skill (no code, no installs, no secrets requested) that instructs an agent how to operate and verify a multi-role AI marketing pipeline. It will expect the agent to check live URLs and produce verification receipts — so if the agent has web/browsing or publishing capabilities, it may perform external network checks and publish actions. Before installing, confirm you trust the agent's ability to perform external checks (and that those tools are configured safely), remove or avoid loading any private campaign data into the skill, and adjust aggressive defaults (e.g., the 12 blogs/day Tony target) to match your reality. If you plan to enable autonomous invocation for untrusted agents, consider the potential for unwanted publishing or external checks and restrict agent tooling accordingly.
功能分析
Type: OpenClaw Skill Name: openclaw-ai-marketing Version: 0.1.0 The skill bundle defines a multi-agent framework for an AI-driven marketing team, focusing on workflow coordination, role definitions, and quality assurance (QA). It contains only documentation and instructions (SKILL.md, references/*.md) without any executable code, network calls, or requests for sensitive data; it even includes explicit guidance in open-source-packaging.md to remove private secrets and credentials.
能力评估
Purpose & Capability
The name/description claim — running or packaging an OpenClaw/ClawLite-style marketing team — matches the provided content. The skill requires no binaries, env vars, or installs, which is appropriate for a playbook/operating-model skill.
Instruction Scope
SKILL.md is a runbook describing roles, receipts, and verification rules (e.g., real browser/public verification, URL/visibility proof, ASSET_CHECK). These instructions are consistent with operating a marketing team but are operationally broad: following them will typically require the agent to inspect live URLs, confirm publish status, and interact with external publishing systems. That network and verification activity is expected for the purpose but grants the agent broad discretion to perform external checks.
Install Mechanism
No install spec and no code files — lowest-risk delivery model. Nothing is written to disk and there are no remote downloads or packages to evaluate.
Credentials
No required environment variables, credentials, or config paths are declared. The open-source packaging guidance explicitly warns to strip private secrets and local paths, which aligns with the skill's nature.
Persistence & Privilege
always is false and the skill does not request persistent presence or modification of other skills/config. Autonomous invocation is allowed (platform default) but not combined with elevated privileges or credential access.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install openclaw-ai-marketing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-ai-marketing 触发
  4. 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
v0.1.0
Initial public release of the OpenClaw AI marketing operating system skill.
元数据
Slug openclaw-ai-marketing
版本 0.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Openclaw Ai Marketing 是什么?

Run, audit, or improve an OpenClaw/ClawLite-style AI marketing team as a coordinated multi-lane operating system. Use when the task is to operate or package... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 125 次。

如何安装 Openclaw Ai Marketing?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-ai-marketing」即可一键安装,无需额外配置。

Openclaw Ai Marketing 是免费的吗?

是的,Openclaw Ai Marketing 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Openclaw Ai Marketing 支持哪些平台?

Openclaw Ai Marketing 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 Openclaw Ai Marketing?

由 X-RayLuan(@x-rayluan)开发并维护,当前版本 v0.1.0。

💬 留言讨论