codex

Frontend Design

Frontend Design coordinator for product-interface content architecture, rendered acceptance, visual systems, reference research, motion/icon resource routing, and research product frontend constraints across browser extension, web, desktop/WebView, and mobile UI surfaces.

2 on GitHubby YuukiASv0.4updated todayWeb Development

Plugin web-development in YuukiAS/AI_Skills_Collection. Commands read from the repo's manifest — today.

What it installs

Skills (2)

  • frontend-reference-research

    Review external frontend references, screenshots, UI libraries, Figma Community examples, and design cases, then distill reusable patterns without copying third-party pages or unclear assets.

  • frontend-visual-systems

    Frontend visual direction, product-interface content architecture, Product UI Copy handoff, rendered acceptance, design tokens, typography, palette, icon, layout, density, and motion brief.

View source on GitHub

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Writing quality layer with response clarity for ordinary explanations, source-fidelity guardrails, Product UI Copy for protected-meaning interface microcopy, heavy Chinese source-faithful structural rewrites, Chinese reader-facing say-it-plain final passes, and English scientific prose cleanup without detector evasion or research-structure decisions.

6 skills

2

Maintenance companion for AI_Skills_Collection plugin refinement and current-machine AI Research Stack updates: formal release routing, generated parity, replay, regression, versions, changelogs, profile installation, and Bridge Kit distribution delegation.

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Publication-ready scientific figures with contextual palette discovery, Notion-derived references, figure QA, schematics, and posters.

5 skills

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Repo reports, research documents, manuscripts, pre-submission review, literature review, citations, and claim-evidence organization.

3 skills

2

Statistical models, Bayesian workflows, Python data analysis, diagnostics, experiment design, and scientific visualization.

3 skills

2

Medical imaging, CMR, DICOM/NIfTI, segmentation, registration, imaging features, and imaging ML workflows.

2 skills

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