Competitor Radar converts raw trade show observations into structured, tagged competitive intelligence and actionable battlecards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tradeshow-competitor-radar
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 tradeshow-competitor-radar 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 Radar?
Competitor Radar is a specialized intelligence tool designed for on-site field research at trade shows and industry events. It enables users to process diverse inputs—ranging from overheard floor gossip and booth signage to official brochures—into a standardized format that distinguishes between direct observations and inferences. By utilizing Openclaw Skills, this tool ensures that marketing and product teams receive high-fidelity data that is categorized by source reliability.
The skill focuses on objectivity, requiring specific source tags for every claim made by a competitor. This rigorous approach prevents the common pitfall of turning anecdotal show-floor chatter into false corporate facts, providing a clear-eyed view of the competitive landscape and immediate tactical recommendations for your sales and product development teams.
Competitor Radar Use Cases
- Processing on-site field notes into structured competitive intelligence reports.
- Converting physical brochure text and booth signage into digital battlecard entries.
- Identifying and tagging unverified industry rumors vs. observed product specifications.
- Generating post-show internal action plans based on observed competitor threats and positioning.
- Aggregating multiple observations of the same competitor into a single, cohesive threat assessment.
How Competitor Radar Works
- Data Intake: The skill accepts raw inputs such as free-text notes, transcribed brochure copy, pricing clues, or product announcement snippets.
- Metadata Extraction: It identifies the competitor name, show context, and date to ensure every intelligence piece is anchored in time and place.
- Fact-Tagging: Every data point is tagged with high-precision identifiers: [OBS] for direct observations, [INF] for inferences, [HEARD] for unverified reports, and [EST] for numerical estimates.
- Intel Structuring: Observations are organized into a report covering products, claimed positioning, pricing signals, and booth dynamics.
- Threat Assessment: The skill calculates a threat level (Low/Medium/High) based on concrete observed signals rather than subjective impressions.
- Actionable Output: Finally, it generates an Internal Action Note translating the intel into specific recommended actions for sales, product, or marketing teams.
Competitor Radar Setup
To deploy Competitor Radar within your Openclaw environment, ensure you have the Openclaw CLI installed and configured. Clone the repository and add the skill to your local agent configuration:
git clone https://github.com/LensmorOfficial/trade-show-skills.git
cd trade-show-skills/competitor-radar
openclaw skills add .
You can then invoke the skill by providing your show-floor notes directly to your AI agent.
Competitor Radar Data Schema & Taxonomy
The skill organizes competitive intelligence using a strict taxonomy to maintain data integrity. The primary output follows this structure:
| Section | Data Type | Description |
|---|---|---|
| Header | Metadata | Competitor Name, Show Name, and Date. |
| Source Tags | Taxonomy | Mandatory tags ([OBS], [INF], [HEARD], [EST], [UNK]) applied to every claim. |
| Signals | Categorized List | Observed pricing, positioning, and booth traffic metrics. |
| Threat Level | Enumeration | High, Medium, or Low rating based on evidence density. |
| Action Note | Markdown | Internal-only recommendations and follow-up investigation questions. |
Competitor Radar Advanced Features
- Multi-Competitor Aggregation: Automatically identifies if observations belong to the same entity across different sessions and merges them.
- Evidence vs. Inference Guardrails: Systematically prevents the fabrication of facts by highlighting where evidence is thin.
- Cross-Competitor Summarization: If multiple competitors are processed, the skill produces a high-level summary of the total competitive landscape.
- Tactical Action Engine: Generates specific investigation questions to fill information gaps identified during the show floor analysis.
SKILL.md
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