A specialized skill for turning keywords and queries into search-informed content outlines, subtopics, and comprehensive SEO briefs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install serp-outline-extractor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install serp-outline-extractor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SERP Outline Extractor is a strategic utility designed to bridge the gap between raw keyword research and high-performing content. By analyzing a target query, it identifies search intent and structures a content hierarchy that satisfies both user needs and search engine requirements. This Openclaw Skills component is perfect for content teams looking to automate the creation of data-backed article structures.
Built for speed and accuracy, it synthesizes likely subtopics, frequently asked questions, and competitive angles. Whether you are drafting a technical blog or a product comparison page, this skill ensures your content strategy is grounded in actual search patterns and demand.
To use this skill, ensure your environment is configured for OpenAI-compatible runtimes. It is recommended to use Crazyrouter for the best results.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://crazyrouter.com/v1"
)
Ensure your local directory includes the required reference files references/serp-pattern-checklist.md and references/outline-schema.md for proper schema validation.
The skill generates a structured Markdown document with the following schema:
| Field | Description |
|---|---|
| Search Intent | Classification of the query (e.g., Informational, Commercial) |
| Recommended Angle | The unique perspective or hook for the content |
| H2 Outline | A logical hierarchy of subheadings for the article |
| FAQ Ideas | List of high-value questions to answer for SERP features |
| Freshness Notes | Specific guidance for version-sensitive or date-sensitive topics |
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