GEO Deep Imitate for Openclaw

An automated AI content imitation and SEO optimization skill that extracts high-authority sources, drafts brand-safe revisions, and exports publish-ready packages.

chameleon-nexus
v1.0.3
Jun 3, 2026
0
765
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install geo-deep-imitate

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 geo-deep-imitate 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 GEO Deep Imitate?

GEO Deep Imitate is a sophisticated content adaptation and generation engine designed for the Openclaw ecosystem. Operating autonomously or under orchestrators like geo-cycle-autopilot or geo-opt-coordinator, this skill automates the extraction, purification, and rewriting of top-performing web sources. By utilizing advanced retrieval and deep imitation capabilities, it transforms noisy competitor URLs into brand-safe, highly optimized alternative drafts.

As a foundational component of modern Openclaw Skills, it eliminates manual editorial workflows. Content teams can reliably crawl raw source content, strip out distracting components like ads or navigation, generate precise drafts aligned with target outlines, and assemble local backup packages for mass deployment.

GEO Deep Imitate Use Cases

  • Automated competitor content extraction and replication for modern search engine optimization.
  • Sourcing high-authority articles to safely rewrite and localize brand marketing assets.
  • High-velocity mass drafting for digital advertising landing pages and SEO campaigns.
  • Autonomous multi-cycle content refreshing directed by background orchestration agents.

How GEO Deep Imitate Works

  1. Credentials Authorization: Reads local directory configuration files (~/.qclaw/geo-api-key) and securely authenticates with the SaaS backend platform.
  2. Diagnostic Sourcing: Discovers and fetches targeted source URLs associated with the active optimization campaign task and current cycle.
  3. Content Extraction: Employs built-in web fetch utilities to extract raw pages, converting them to clean Markdown files up to 50,000 characters while dropping useless navigational boilerplate.
  4. Deep Imitation Processing: Submits the purified Markdown, core brand keywords, and structural outlines to the AI imitation generator backend.
  5. Draft Polling: Interrogates the state of the drafting API until the status is marked complete and the final copy is compiled.
  6. Package Distribution: Packs the generation assets into a standardized ZIP file, archives them locally inside designated cycle folders, and registers the local path with the synchronization service.

GEO Deep Imitate Setup

Ensure that your local execution environment has access to the built-in web fetch tools of your AI agent framework. Openclaw Skills require no heavy external browser scraper setups to operate this skill.

Create your local API key file using your credentials from SaaS Account Settings under Dragon Key:

mkdir -p ~/.qclaw
echo -n "your_geo_api_key_here" > ~/.qclaw/geo-api-key

Verify that your API key is configured correctly before starting any processing cycle:

curl -s -X POST "https://ai.gaobobo.cn/api/geo/verify-key" \
  -H "Authorization: Bearer $(cat ~/.qclaw/geo-api-key)"

If the response code returns as anything other than 0, the process will halt automatically to protect credits.

GEO Deep Imitate Data Schema & Taxonomy

Export Directory Structure

Finalized packages and archives are stored dynamically using clean taxonomy paths containing brand names, products, and campaign cycles:

~/.qclaw/geo-exports/
└── <brand>_<product>_C<cycle>/
    └── fangxie/
        └── fangxie.zip

Generative Request API Contract

Parameter Type Required Description
optimization_task_id String Yes The system task ID obtained automatically via the workflow coordinator
cycle_number Integer Yes The current content generation loop index
brand_name String Yes Target brand name utilized during drafting
keyword String Yes Core keyword driving the copy adaptation
reference_url String Yes Original content source URL
reference_markdown String Yes Cleaned Markdown body extracted from source URL
reference_outline Object Yes Extracted JSON structural layout with required section lists

GEO Deep Imitate Advanced Features

  • Coordinator Independence: Can run completely standalone or directly align with autopilot coordinator managers.
  • Built-in HTML Sanitizer: Strips web navigation, footer metadata, dynamic scripts, and third-party advertising structures to maximize generation relevance.
  • Degraded Fallback Logic: Instantly converts to abstract summarization if target source content returns errors, page verification blocks, or cookie walls.
  • Stateful Polling Mechanisms: Optimizes server calls by monitoring generative tasks on a strict, adjustable interval schedule.
  • Publish-Ready Sync: Synchronizes locally generated ZIP components to the mass-publish endpoint instantly upon package validation.

SKILL.md


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