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Install in OpenClaw
/install p-seo
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install p-seo - After installation, invoke the skill by name or use
/p-seo - Provide required inputs per the skill's parameter spec and get structured output
Version History
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).
Metadata
Frequently Asked Questions
What is pSEO Generator?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 236 downloads so far.
How do I install pSEO Generator?
Run "/install p-seo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is pSEO Generator free?
Yes, pSEO Generator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does pSEO Generator support?
pSEO Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created pSEO Generator?
It is built and maintained by chichoss (@chichoss); the current version is v1.0.0.
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