SERP Outline Extractor for Openclaw

A specialized skill for turning keywords and queries into search-informed content outlines, subtopics, and comprehensive SEO briefs.

xujfcn
v0.2.0
Mar 16, 2026
0
849
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install serp-outline-extractor

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is SERP Outline Extractor?

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.

SERP Outline Extractor Use Cases

  • Planning SEO articles and long-form blog posts with data-backed structures.
  • Generating standardized content briefs for freelance or in-house writing teams.
  • Extracting logical section patterns from existing search demand to optimize page rankings.
  • Improving the information architecture of a draft before moving into the writing phase.

How SERP Outline Extractor Works

  1. Accept a target keyword or specific search query as the primary input.
  2. Classify the primary and secondary search intent to determine the tone and depth.
  3. Gather search-result patterns to identify common section types used by top-ranking pages.
  4. Infer optimal headings, FAQ sections, and comparison angles based on the query type.
  5. Output a structured content brief including audience targeting, H1/H2 outlines, and freshness notes.

SERP Outline Extractor Setup

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.

SERP Outline Extractor Data Schema & Taxonomy

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

SERP Outline Extractor Advanced Features

  • Intent-first classification ensures the outline matches the user's journey stage.
  • Contextual freshness framing for year-sensitive or version-specific queries.
  • Dynamic comparison logic that automatically adds evaluation sections for commercial queries.
  • Full integration with Openclaw Skills for multi-agent content production workflows.

SKILL.md


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