## Description: <br>
A transportation digital-transformation advisory skill that helps agents draft maturity assessments, roadmaps, vendor evaluations, ROI cases, and technical plans for smart mobility, ITS, V2X, digital twins, autonomous driving, MaaS, smart highways, ports, rail, and related transport domains. <br>

This skill is for research and development only. <br>

## Publisher: <br>
[yinjianheng](https://clawhub.ai/user/yinjianheng) <br>

### License/Terms of Use: <br>
MIT-0 <br>


## Use Case: <br>
Transportation planners, digital-transformation teams, consultants, and technical professionals use this skill to structure smart-mobility assessments, architecture options, vendor comparisons, safety-aware project plans, and investment analysis. It is best treated as drafting and analysis support that requires expert review before operational decisions. <br>

### Deployment Geography for Use: <br>
Global <br>

## Known Risks and Mitigations: <br>
Risk: The skill has broad transportation-domain activation and may be invoked for topics outside a user's intended scope. <br>
Mitigation: Install it only when broad transportation digital-transformation support is needed, and narrow triggers or customize local activation rules where the agent platform allows. <br>
Risk: Outputs may discuss high-risk scenarios such as ANPR, biometrics, watchlists, telemetry, passenger profiling, external data sharing, V2X control, OTA, or remote driving. <br>
Mitigation: Treat outputs as drafts and require review by legal, privacy, cybersecurity, and functional-safety owners before use in operational or procurement decisions. <br>
Risk: The skill has no executable payload, but advisory recommendations can still be incorrect, incomplete, or unsuitable for a local transport system. <br>
Mitigation: Validate recommendations with project-specific data, simulation, pilot testing, and qualified domain experts before implementation. <br>


## Reference(s): <br>
- [ClawHub skill page](https://clawhub.ai/yinjianheng/skills/transportation-digital-ai-expert-standard-international) <br>
- [Global Smart Mobility Best-Practice Deep Dive](references/01-global-smart-mobility-best-practices.md) <br>
- [Benchmark Data and Industry Metrics](references/02-benchmark-data-and-industry-metrics.md) <br>
- [Transport AI Applications Framework](references/03-transport-ai-applications-framework.md) <br>
- [Transport Technology Vendor Landscape](references/04-transport-tech-vendor-landscape.md) <br>
- [Core Methodology Library](references/05-core-methodology-library.md) <br>
- [Frequently Asked Questions](references/06-faq.md) <br>
- [Transport Cybersecurity and Critical-Infrastructure Protection](references/07-transport-cybersecurity-and-critical-infra.md) <br>
- [Vehicle-Infrastructure-Cloud Integrated Technology Whitepaper](references/08-vehicle-infra-cloud-whitepaper.md) <br>


## Skill Output: <br>
**Output Type(s):** [Text, Markdown, Guidance, Configuration] <br>
**Output Format:** [Markdown and structured advisory prose] <br>
**Output Parameters:** [1D] <br>
**Other Properties Related to Output:** [May include tables, checklists, scoring matrices, roadmaps, business cases, and implementation plans.] <br>

## Skill Version(s): <br>
1.0.0 (source: server release metadata; artifact frontmatter reports 1.2.0) <br>

## Ethical Considerations: <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
