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Build web interfaces that work well for both AI agents and humans.
The material indicates a prompt-only, open-source Claude Code skill with no required secrets and no declared remote endpoints, so overall risk is low. However, the missing README and unclear license/maintenance status leave some supply-chain transparency concerns.
The material explicitly states that no keys or environment variables are required; there is no request for API tokens, account credentials, or other sensitive authentication data, so credential exposure/misuse risk is low.
No remote endpoint is declared, and the system flags it as prompt-only; based on the available material, there is no indication that user data is sent to external services.
As a prompt-only skill, the material does not describe spawning local processes, running scripts, invoking a shell, or requesting additional system capabilities.
No capability is described for reading or writing local files, databases, or other resources; the stated function is to provide web design and accessibility/locator guidance, with no apparent data access permissions involved.
The source is an open GitHub repository with some community adoption (60 stars), which lowers risk; however, the missing README, undeclared license, and unknown maintenance status limit auditability and maintenance transparency, so the repository contents should be reviewed before use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-friendly-web-design-skill" yet — see the docs or source repo.
Please review this web component plan and optimize it for both AI agents and human users. Focus on semantic HTML, heading hierarchy, and clear button/link identification, then provide example code.
A more structured page recommendation with semantic HTML example code.
Please refactor this signup form so it is better for AI automation and human completion. Add labels, ARIA attributes, error messaging, required-field guidance, and stable locator strategies.
A form redesign plan and code sample with stronger accessibility and automation support.
Please design a stable and maintainable element locator strategy for this frontend page, suitable for AI agents, automated testing, and long-term iteration. Explain when to use data-testid, ARIA, or semantic selectors.
A clear locator guideline with element selection recommendations and example code.
Create frontend UI concepts that avoid generic AI-generated visual styles.
Create, refine, and troubleshoot AI skills, specs, invocation, and compatibility.
Turn AI into a senior UX/UI architect for tokens, components, and accessible code.
Turn local AI coding history into an anonymized developer profile and poster.
Create, refine, validate, and restructure AgentSkills and SKILL.md files.
Convert skills from other AI coding assistants into Amplifier-native SKILL.md files.