Competitor Radar

Structure competitor booth observations from a trade show into a field-intel note and battlecard-ready summary.

This skill appears internally consistent and lightweight — it only needs the user's raw notes and produces a tagged intel summary. Before installing or using it: (1) avoid pasting sensitive PII or corporate credentials into observations; the skill will encourage you to flag contacts but will not access badge systems itself, so any follow-up PII lookups should follow your privacy/legal policies; (2) verify any high-impact claims (prices, quantified performance) with primary sources before acting — the skill deliberately tags unverified overheard or inferred items but downstream teams may treat outputs as actionable; (3) because it is instruction-only, review the SKILL.md locally and confirm you are comfortable with the implied workflow (manual badge/LinkedIn lookups, sharing battlecards internally). If you want the agent to automatically query CRM or badge systems, require a separate, explicit integration with appropriate credentials and governance — the current skill does not and should not have that capability.

Type: OpenClaw Skill Name: tradeshow-competitor-radar Version: 1.0.0 The skill bundle contains markdown instructions (SKILL.md) and documentation (README.md) designed to help an AI agent structure trade show competitor observations. It focuses on categorizing data into observations versus inferences and generating competitive intelligence reports. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the external links to lensmor.com appear to be standard marketing attribution.