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Trade Show Finder
by
weilun88313
· GitHub ↗
· v0.4.0
· MIT-0
200
Downloads
1
Stars
1
Active Installs
4
Versions
Install in OpenClaw
/install trade-show-finder
Description
Score and compare trade shows to decide where to exhibit, attend, or skip this year. "Which trade shows should we go to?" / "哪些展会值得参加" / "Welche Messen lohne...
Usage Guidance
This skill appears coherent and low-risk: it is instruction-only, asks for business context (ICP, goals, budget) that are necessary for recommendations, and performs web checks of official show sites. Before installing or enabling autonomous invocation, consider: 1) Do you want the agent to receive sensitive business inputs (budgets, customer lists)? Provide only the minimum required context. 2) The skill hands off to other skills (budget planner, invitation writer) — check those skills for any credential or network requirements before allowing automatic handoffs. 3) If you require no network lookups, note the skill expects to verify dates/attendee numbers via web search; disable network access or confirm how verification should be handled. 4) Verify vendor/source (homepage link provided) if you need a provenance check. Overall: coherent and proportionate for its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: trade-show-finder
Version: 0.4.0
The trade-show-finder skill bundle is a well-structured tool designed to help users evaluate and prioritize B2B trade shows. It contains detailed instructions (SKILL.md) for the AI agent to perform research, apply a scoring framework (show-fit-framework.md), and generate formatted reports. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all instructions and reference files are strictly aligned with the stated purpose of trade show research and planning.
Capability Assessment
Purpose & Capability
Name and description (trade-show selection / scoring) match the instructions and included reference files. The skill requires no binaries, env vars, or installs — nothing disproportionate or unrelated is requested for a show-selection assistant.
Instruction Scope
SKILL.md confines the agent to: read the included framework/archetype reference files, collect business inputs (company, ICP, goal, region, exhibit vs attend), build a candidate set, and verify show facts via web search and official sites. It does ask for business-sensitive inputs (budget, ICP) but only when decision-critical and explicitly instructs to ask only for missing inputs. There are no instructions to read unrelated system files, secrets, or config paths.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes filesystem/write risk; there are no external downloads or package installs to review.
Credentials
The skill declares no environment variables, credentials, or config paths. Requested inputs are user-supplied business context, which are appropriate for the stated purpose. Note: the skill references handoffs to other skills (e.g., trade-show-budget-planner, booth-invitation-writer); those other skills may request credentials or env vars, so review them before allowing cross-skill automation.
Persistence & Privilege
always: false; user-invocable and allows autonomous invocation (platform default). This is reasonable for a decision-support skill. It does not request persistent system-wide changes or access to other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-show-finder - After installation, invoke the skill by name or use
/trade-show-finder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.4.0
- Expanded description (in English, Chinese, German, Japanese, Spanish) for multilingual search/discovery.
- Improved keyword richness for trade show selection and evaluation.
- No changes to workflow or scoring logic.
- No interface or API changes; this update is documentation/metadata only.
v1.0.2
Sharpened skill descriptions and first-screen README summaries for clearer ClawHub discovery, faster fit assessment, and stronger install intent.
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
Trade Show Finder 0.2.0 introduces a comprehensive decision workflow for B2B teams evaluating trade shows.
- Adds structured modes: specific-show decision, named-show comparison, shortlist discovery, and annual planning.
- Collects only decision-critical business inputs instead of generic questionnaires.
- Uses curated internal archetypes for recommendations, not broad event lookups.
- Introduces Show Fit Score system with clear recommendation bands and execution readiness.
- Mandates an executive-style memo output with context, scoring, and next steps.
- Enhances quality control: factual verification, source transparency, and practical decision support.
Metadata
Frequently Asked Questions
What is Trade Show Finder?
Score and compare trade shows to decide where to exhibit, attend, or skip this year. "Which trade shows should we go to?" / "哪些展会值得参加" / "Welche Messen lohne... It is an AI Agent Skill for Claude Code / OpenClaw, with 200 downloads so far.
How do I install Trade Show Finder?
Run "/install trade-show-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trade Show Finder free?
Yes, Trade Show Finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trade Show Finder support?
Trade Show Finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trade Show Finder?
It is built and maintained by weilun88313 (@weilun88313); the current version is v0.4.0.
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