Perform deep competitor audits and market positioning analysis to discover winning business strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install competitor-research
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-research 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 Research?
This skill empowers your AI agent to conduct professional-grade competitor research within the ecosystem of Openclaw Skills. By moving beyond surface-level lists, it allows you to dive into deep SWOT analyses, pricing matrices, and positioning maps. It transforms raw market data into a strategic playbook, helping you identify underserved customer segments and white space in any niche.
Designed for both new market entry and existing business optimization, the skill ensures that every research session results in actionable intelligence. It maintains a persistent local memory of your findings, allowing your agent to build a comprehensive knowledge base of the competitive landscape over time.
Competitor Research Use Cases
- Conducting a landscape audit for a new market entry to identify key players and differentiators.
- Analyzing specific competitors to find feature gaps, pricing vulnerabilities, or messaging weaknesses.
- Creating a competitive matrix to compare your product against others on dimensions that matter most to customers.
- Performing win/lose analysis to understand why customers choose one solution over another.
- Monitoring market shifts by iterating on previous research to track competitor evolution.
How Competitor Research Works
- Define the research scope, clarifying if the focus is on a new market or an existing competitive environment.
- Select an appropriate depth level ranging from a 15-minute Quick Scan to a multi-hour Deep Dive.
- Analyze individual competitors across four key dimensions: Basics, Product, Positioning, and Traction Signals.
- Execute a Gap Analysis to identify what customers are complaining about and which segments are underserved.
- Generate Strategic Recommendations based on findings to inform product development or marketing pivots.
- Update local memory files to ensure all research is saved and available for future Openclaw Skills sessions.
Competitor Research Setup
To get started with this skill for Openclaw Skills, install it via the CLI and review the initialization guidelines:
clawhub install competitor-research
Upon first use, the agent will reference setup.md to establish your research preferences and niche context.
Competitor Research Data Schema & Taxonomy
The skill organizes research data locally in the ~/competitor-research/ directory using a clear taxonomy:
| Location | Content Type | Purpose |
|---|---|---|
memory.md |
Global Context | Stores status, research preferences, and broad niche context. |
/niches/{niche}/ |
Niche Folders | Segregates research data by specific market or industry. |
overview.md |
Landscape View | Provides a high-level map of players and positioning within a niche. |
{company}.md |
Competitor Audit | Contains deep-dive analysis for a specific business entity. |
/insights/ |
Strategic Reports | Stores cross-cutting findings and time-stamped recommendations. |
Competitor Research Advanced Features
- Multi-level depth framework (Quick Scan, Standard, Deep Dive) to optimize research time and output detail.
- Built-in strategic frameworks including Positioning Audits and Win/Lose Analysis.
- Iterative workflow support that allows the agent to refresh outdated intelligence without starting from scratch.
- Confidence scoring for findings (High, Medium, Low) to ensure reliable decision-making.
- Automated generation of actionable watch-lists to monitor competitor moves and traction signals.
SKILL.md
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