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pSEO Generator

作者 chichoss · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
236
总下载
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install p-seo
功能描述
Build Programmatic SEO 2.0 systems at scale — AI-generated content using strict JSON schemas, niche taxonomy, and React renderers. Use when: (1) creating hun...
安全使用建议
This skill is a high-quality, instruction-only blueprint (no code or installers). It's safe from a manifest perspective, but it is not a ready-to-run package — referenced files (schema and niche examples) are not bundled and you'll need to implement generation, validation, and renderers yourself. Before using: (1) ensure you have legitimate access and quota for whichever LLM you will call (the guide recommends Gemini Flash) and understand costs and privacy implications of sending data to that model, (2) confirm you supply any required API keys separately and do not expose sensitive data to the model, (3) review SEO and legal risks of large-scale autogenerated pages (indexing, duplicate content, and policy compliance), and (4) expect to build validation and rate-limiting around the described parallel generation to avoid accidental overuse of model/quota.
功能分析
Type: OpenClaw Skill Name: p-seo Version: 1.0.0 The p-seo skill bundle is a comprehensive framework for generating programmatic SEO content using structured JSON schemas and React renderers. It provides detailed instructions for an AI agent to build niche taxonomies, generate content via the Gemini API, and publish to Webflow. The instructions include specific brand guidelines and directives to load context files from the local workspace (~/.openclaw/workspace/tolstoy-context/), which are aligned with the stated goal of creating high-quality, brand-consistent content for the 'Tolstoy' platform. No indicators of malicious intent, data exfiltration, or unauthorized system access were found.
能力评估
Purpose & Capability
The name/description (programmatic SEO via strict JSON schemas and React renderers) matches the SKILL.md content: taxonomy design, schema-first generation, validation, and renderers. There are no unrelated environment variables, binaries, or install steps requested that would be surprising for this task.
Instruction Scope
Runtime instructions stay within the stated purpose (design niches, define TypeScript schemas, generate JSON via an LLM, validate, and render). The doc references local files (references/niche-taxonomy.md, references/schema-library.md) that are not bundled with the skill — this is an implementation gap (not a security alarm) and means the skill as-distributed is a blueprint rather than a runnable package. It also recommends using an external model (Gemini Flash) and high parallelism, which implies you must provide model access/keys and manage API cost/quotas outside the skill.
Install Mechanism
There is no install specification and no code files — instruction-only skills present the least disk/execution risk. Nothing is downloaded or written by an install step.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content describes calling an LLM (Gemini Flash) but does not ask for unrelated secrets or credentials in the skill manifest — this is proportionate. Note: to actually run the described pipeline you will need model API access and any relevant service credentials, but those are not requested by this skill itself.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed. It does not request permanent agent presence or ask to modify other skills or system-wide config.
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 p-seo
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /p-seo 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
v1.0.0
pseo-generator 1.0.0 — Initial Release - Introduces a structured, scalable framework for modern programmatic SEO using strict JSON schemas and niche taxonomies. - Separates content (JSON data) from design (React renderers) for maximum flexibility and validation. - Includes detailed guides for building taxonomies, JSON schemas, and six content categories (resource, comparison, tool, checklist, guide, template). - Features quick-start checklist and reference materials for rapid implementation. - Provides specialized configuration and voice rules for use with Tolstoy’s ecommerce AI brand. - Shares proven metrics from real-world deployment (13,000+ pages, rapid scale, major click lift).
元数据
Slug p-seo
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

pSEO Generator 是什么?

Build Programmatic SEO 2.0 systems at scale — AI-generated content using strict JSON schemas, niche taxonomy, and React renderers. Use when: (1) creating hun... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 236 次。

如何安装 pSEO Generator?

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

pSEO Generator 是免费的吗?

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

pSEO Generator 支持哪些平台?

pSEO Generator 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 pSEO Generator?

由 chichoss(@chichoss)开发并维护,当前版本 v1.0.0。

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