A strategic intelligence tool for analyzing competitor exhibitor presence, booth positioning, and messaging prior to a trade show.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pre-show-competitor-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pre-show-competitor-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Pre-Show Competitor Analysis skill is a comprehensive framework designed to give exhibitors a competitive edge before they even step onto the show floor. By leveraging this entry in the Openclaw Skills library, users can systematically evaluate who is exhibiting, where they are located, and how they are positioning their products. This skill transforms raw exhibitor lists and floor plans into actionable intelligence, allowing teams to identify market gaps and refine their own value propositions.
By synthesizing booth signals, messaging signals, and activity indicators, the skill helps businesses move beyond guesswork. It provides a structured approach to understanding the competitive landscape, ensuring that your trade show presence is differentiated and strategically placed to capture maximum attention.
To get started with this skill within your environment, ensure you have the necessary reference files in place:
# Create the references directory if it does not exist
mkdir -p references
# Ensure competitor-analysis-framework.md is present in the references folder
# Invoke the skill via your AI agent by providing the show name and target segment
The skill organizes intelligence using a specific metadata taxonomy to ensure clarity between facts and estimates:
| Tag | Meaning |
|---|---|
| [OBS] | Directly read from official exhibitor lists or floor plans |
| [INF] | Reasonably inferred from observable signals |
| [HEARD] | Second-hand or unverified claims |
| [EST] | Estimated numerical values (e.g., booth size) |
| [UNK] | Data that cannot be determined from available sources |
Threats are scored across three dimensions (Overlap, Prominence, Clash) on a scale of 1-5, resulting in a total Threat Score used for categorization.
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