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Pre Show Competitor Analysis
by
weilun88313
· GitHub ↗
· v0.4.0
· MIT-0
215
Downloads
1
Stars
1
Active Installs
5
Versions
Install in OpenClaw
/install pre-show-competitor-analysis
Description
Analyze competitor exhibitor presence, booth positioning, and messaging before the show. "Who are my competitors at this show?" / "分析展会竞争对手" / "Messekonkurre...
Usage Guidance
This skill appears coherent and appropriate for pre-show competitive research. Before installing: 1) Be prepared to supply or allow access to the public exhibitor lists, floor plans, and any internal context you want included (do not upload sensitive internal documents unless you intend them to be used). 2) Verify any [INF]/[HEARD]/[EST] claims on-site—the skill explicitly marks these. 3) If you allow autonomous agent runs that can browse the web, ensure you understand what web access the agent has; otherwise run the skill interactively and provide the show materials yourself. 4) If you later extend the skill to fetch private data or require credentials, reassess for proportionality and data-exfiltration risk.
Capability Analysis
Type: OpenClaw Skill
Name: pre-show-competitor-analysis
Version: 0.4.0
The skill bundle provides a structured framework for performing pre-show competitor analysis at trade shows. It guides the AI agent to collect and analyze publicly available exhibitor data, floor plans, and messaging signals using a standardized tagging and scoring system. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the logic is entirely focused on competitive intelligence as described in SKILL.md and the supporting framework in references/competitor-analysis-framework.md.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md content: the skill guides the agent to collect exhibitor lists, floor plans, and public messaging and produce threat scoring and strategy. It does not request unrelated credentials, binaries, or config paths.
Instruction Scope
Runtime instructions are narrowly scoped to pre-show research: read the provided framework file, gather public exhibitor/floor-plan data, tag provenance, and produce structured output. The instructions do not ask the agent to read arbitrary system files, sweep environment variables, or exfiltrate data to unexpected endpoints. They do rely on collecting public data or user-provided show materials (exhibitor lists/floor plans).
Install Mechanism
Instruction-only skill with no install spec, no code files to execute, and no downloads—lowest-risk install posture.
Credentials
No environment variables, credentials, or config paths are required. The declared inputs align with the stated purpose (public show materials and user-supplied context).
Persistence & Privilege
always is false and the skill is user-invocable. Autonomous invocation is allowed (platform default) but there is no special 'always' privilege or requests to modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pre-show-competitor-analysis - After installation, invoke the skill by name or use
/pre-show-competitor-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.4.0
- Added multilingual description keywords to improve discoverability for non-English users.
- No workflow or logic changes; content and output remain the same.
- Version update to 0.4.0.
v1.0.3
Sharpened skill descriptions and first-screen README summaries for clearer ClawHub discovery, faster fit assessment, and stronger install intent.
v1.0.2
Updated cross-skill references after renaming competitor-radar to trade-show-competitor-radar on ClawHub.
v1.0.1
Workflow and handoff refinements across pre-show, on-site, and post-show skills. Improved trigger boundaries, decision-oriented outputs, and cross-skill next-step guidance.
v1.0.0
Initial release of Pre-Show Competitor Analysis skill.
- Enables structured competitor analysis before a trade show using published exhibitor lists and floor plans.
- Supports three analysis modes: deep dive on specific competitors, landscape overview, and positioning gap analysis.
- Scores threat levels by overlap, booth prominence, and messaging to inform strategic response.
- Standardizes source tagging (e.g., [OBS], [INF], [HEARD], [EST], [UNK]) for data clarity.
- Provides a Markdown output template summarizing findings and recommendations.
Metadata
Frequently Asked Questions
What is Pre Show Competitor Analysis?
Analyze competitor exhibitor presence, booth positioning, and messaging before the show. "Who are my competitors at this show?" / "分析展会竞争对手" / "Messekonkurre... It is an AI Agent Skill for Claude Code / OpenClaw, with 215 downloads so far.
How do I install Pre Show Competitor Analysis?
Run "/install pre-show-competitor-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pre Show Competitor Analysis free?
Yes, Pre Show Competitor Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pre Show Competitor Analysis support?
Pre Show Competitor Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pre Show Competitor Analysis?
It is built and maintained by weilun88313 (@weilun88313); the current version is v0.4.0.
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