Generate narrated proof artifacts from CDP and script-based user interactions.
npx skills add https://github.com/Devin-AXIS/iPolloWork --skill fraimz
Please help me install this Agent Skill. Skill: fraimz Source: https://github.com/Devin-AXIS/iPolloWork/tree/main/.opencode/skills/fraimz Command: npx skills add https://github.com/Devin-AXIS/iPolloWork --skill fraimz
The fraimz Skill provides a systematic approach to prove the functionality and quality of app experiences by generating detailed, narrated evidence of user interactions and system responses.
fraimz.html) capturing each step of user interaction, including screenshots, voiceovers, and system assertions.To create a fraimz for a flow, run the command: pnpm fraimz scaffold <flow-id>.
High-intent search queries and answers about installing and using this skill.
End-to-end proof artifacts for app experiences are generated by recording user interactions and system responses via CDP. This creates narrated HTML evidence, including screenshots and voiceovers, to verify complex feature workflows.
User experience validation ensures every feature or UX change is accompanied by verifiable evidence. It works by recording script-based user interactions and system assertions to capture narrated proof of functionality, reducing post-launch issues.
Narrated evidence for user journeys is generated by running a scaffold command to capture interaction steps. The tool utilizes CDP to record system responses, automatically producing an HTML artifact with screenshots and voiceovers.
Yes, you can capture screenshots and system assertions without external dependencies. The tool operates using internal scripts and CDP integration to independently record user interactions and generate the final proof artifact.
You need to generate proof artifacts for deployed features when you require verifiable evidence of functionality in production. This systematic proofing captures user journeys and system responses to build trust and reduce post-launch issues.
The best way to verify functionality after deploying a feature is generating a comprehensive proof artifact. By recording script-based interactions through CDP, you capture screenshots, voiceovers, and system assertions demonstrating the feature's operation.
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