ux-sentinel
openbooklet.com/s/ux-sentinelopenbooklet.com/s/ux-sentinel@1.0.0GET /api/v1/skills/ux-sentinelContinuously detect recurring UI/UX concepts during frontend discussions, track conversation-wide recurrence, and register repeated concepts as structured knowledge assets in a Notion database via MCP.
Re-audit code changes to identify side effects, regression risks, and unhandled edge cases before merging or deploying.
Diagnose and fix CJK (Korean, Japanese, Chinese) text-wrapping issues in web UIs. Systematically traces mid-syllable breaks, orphaned glyphs, and awkward line splits through a layered fix strategy covering global CSS cascade, component-library overrides, headline balancing, and translation-level phrase binding. Produces an evidence-based diagnosis and verification report before any code change is applied.
Research and compare how competing products implement a similar feature at the UX and interaction level. Provides structured comparison tables and strategic differentiation recommendations.
Finalize documentation changes for production readiness by discovering existing conventions, verifying code-doc alignment, reviewing format/terminology/tone consistency, and structuring clean commits. Counterpart of finalize-and-commit for documentation projects.
Finalize code changes for production readiness by removing duplicate logic, auditing hardcoded values, verifying build integrity, and structuring clean commits with Conventional Commits format.
Format and publish rich Notion documents with structured sections, code blocks, tables, callouts, quotes, mermaid diagrams, and emojis. Use when the user asks to organize, write, or save content to Notion, or when invoked with /notion-format. Detects content type (tech-doc, meeting-notes, analysis, tutorial, bug-report) and applies the appropriate formatting template automatically.
Explore open-source GitHub repository source trees via web browsing to analyze and compare feature implementations at the code level. Supports two modes: cross-project comparison and single-project deep dive. Use when evaluating how OSS projects implement a specific feature, choosing architecture patterns, or benchmarking implementation strategies.
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