An advanced competitive intelligence skill that orchestrates high-speed, parallel web extraction to perform deep audits of competitor landing pages, pricing tiers, and content strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gr-competitor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install gr-competitor 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 gr-competitor?
The gr-competitor skill is a professional-grade competitive intelligence tool designed for AI agents operating on platforms like Claude. By acting as a specialized orchestrator for the actionbook engine, gr-competitor enables rapid, cost-efficient analysis of rival products, marketing taglines, and pricing models directly from your development environment.
As part of the Openclaw Skills ecosystem, this integration allows developer advocates and growth hackers to instantly bypass complex manual DOM parsing, fetching precise markdown tables and structured JSON data. It scales to handle dozens of target landing pages concurrently while slashing LLM token costs by up to 90%, making high-throughput competitor monitoring highly accessible.
gr-competitor Use Cases
- Benchmarking competitor value propositions, key taglines, primary CTAs, and hero section visuals across multiple landing pages simultaneously.
- Tracking and auditing B2B SaaS pricing models, feature tiers, free-tier limitations, and annual subscription discounts.
- Scraping the top 10 recent blog posts from rival sites to identify content gaps, overlapping topics, and high-value SEO keyword opportunities.
- Inspecting historical product changes and feature evolutions by scanning historical versions archived on the Wayback Machine.
How gr-competitor Works
- Query Action Manuals: The skill first searches for existing actionbook configurations for popular target platforms (e.g., Product Hunt, Crunchbase) to ensure highly optimized parsing.
- Fallback to Universal Extraction: If no pre-configured manual is found, it automatically falls back to a universal extraction model, isolating specific fields like title, h1, intro, pricing tier, and call-to-action text.
- Execute Concurrent Scanning: Using actionbook's lightweight browser protocol, the agent fires up to 30 parallel browser sessions to extract unstructured content rapidly without choking bandwidth or computing resources.
- Synthesize Comparative Reports: Claude compiles the raw output data into actionable growth assets—generating matrices for messaging, pinpointing market gaps, and mapping pricing distribution curves.
gr-competitor Setup
To deploy this competitive intelligence capability within your Openclaw Skills workspace, ensure you have the actionbook engine configured:
# Install the Actionbook CLI globally on macOS or Linux
npm install -g @actionbookdev/cli
# Alternatively, run it on-demand using npx
npx @actionbookdev/cli browser start
Once installed, verify that the local browser server is reachable and active:
# Check installed version
actionbook --version
# Start the local browser background server
actionbook browser start
Install the "Actionbook Extension" from the Chrome Web Store to leverage your active browser session for seamless, cookie-authenticated page extraction.
gr-competitor Data Schema & Taxonomy
The skill structures the competitor intelligence payloads directly into consistent JSON objects, facilitating clean downstream processing.
| Field | Type | Description |
|---|---|---|
| title | String | Page browser title metadata |
| h1 | String | Primary hero header of the landing page |
| intro | String | Hero subheading or intro copy |
| pricing_tier | Array / Object | Structured data representing price tiers and subscription options |
| cta_text | String | Primary call-to-action button phrasing |
The generated reports compile these elements into markdown matrix tables structured around strategic indicators (e.g., market median pricing, feature overlaps, and suggested differentiation vectors).
gr-competitor Advanced Features
- High Concurrency (up to 30 simultaneous browser tabs) allowing swift multi-site scans without linear performance degradation.
- Token Optimization reducing LLM data consumption by up to 90% by feeding structured JSON text directly to the model instead of full HTML DOM snapshots.
- Wayback Machine Integration natively extracting archived page variations on archive.org to map product history over time.
- Agent-to-Agent Cascades easily routing output data to secondary Openclaw Skills, such as triggering gr-blog-post to draft counter-arguments or gr-b2b-growth to realign your pricing tiers.
- Scheduled Tracking Capabilities enabling automated cron tasks to run weekly audits and output structural diff files of SaaS competitor pages.
SKILL.md
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