A structured framework for automated competitive intelligence, providing deep-dive analysis into product features, pricing, and market positioning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install competitor-teardown
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 competitor-teardown 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 Competitor Teardown?
The Competitor Teardown skill is a comprehensive intelligence framework designed for product managers, marketers, and researchers. By utilizing Openclaw Skills alongside advanced search and browsing tools, it automates the 7-layer analysis process which covers product UX, pricing models, market positioning, traction, user reviews, content strategy, and team composition. This skill enables teams to move beyond surface-level comparisons and gain a technical, data-driven edge in their market.
Built to work seamlessly with inference.sh CLI, this skill integrates automated web searching and browser automation to capture real-time data from competitors. Whether you are preparing an investor deck or refining a product roadmap, this skill provides the structured deliverables needed to identify market gaps and competitor weaknesses efficiently.
Competitor Teardown Use Cases
- Creating detailed feature comparison matrices for sales enablement teams.
- Generating SWOT analysis reports for quarterly strategic planning.
- Automating the monitoring of competitor pricing and feature gating changes.
- Mining user sentiment from Reddit and G2 to identify switching triggers.
- Visualizing market landscapes through automated positioning maps and image stitching.
How Competitor Teardown Works
- Initialize the competitive landscape by identifying target URLs and specific market queries.
- Deploy automated search assistants to gather funding data, recent news, and traction metrics.
- Trigger browser agents to capture high-fidelity screenshots of competitor landing pages and signup flows.
- Extract structured pricing information and feature lists using automated web scraping tools.
- Synthesize raw data into comparison tables, SWOT matrices, and visual deliverables.
- Generate programmatic positioning maps using Python-based data visualization scripts.
Competitor Teardown Setup
To get started with this skill for Openclaw Skills, follow these installation steps:
# Install the inference.sh CLI and log in
curl -fsSL https://cli.inference.sh | sh && infsh login
# Add the necessary skill dependencies
npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering
Competitor Teardown Data Schema & Taxonomy
The skill organizes competitive data into a structured hierarchy to ensure clarity across the 7-layer analysis:
| Layer | Analysis Type | Data Sources |
|---|---|---|
| Product | UX and Quality | Screenshot captures, flow reviews |
| Pricing | Plans and Costs | Extracted pricing tables |
| Positioning | Messaging | Website copy, taglines |
| Traction | Growth Metrics | Press releases, LinkedIn, Exa search |
| Reviews | User Sentiment | G2, Capterra, Reddit |
| Visuals | Positioning Map | Matplotlib generated PNGs |
Competitor Teardown Advanced Features
- Automated image stitching to create side-by-side homepage and dashboard comparisons.
- Programmatic positioning map generation using custom X/Y axes via Python execution.
- Multi-platform review mining targeting niche communities and professional review sites.
- Seamless integration with Tavily and Exa for deep web data extraction and verification.
- Structured SWOT templates that automatically populate based on search intelligence findings.
SKILL.md
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