LAYER_09_UX
Expert knowledge for UX Layer modeling in Documentation Robotics
Documentation skills for markdown, PDFs, knowledge bases, and content operations.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Expert knowledge for UX Layer modeling in Documentation Robotics
Create comprehensive feature documentation summaries that describe current and future capabilities. Use after feature-breakdown to document what a feature does, its business value, technical implement
Create comprehensive feature documentation summaries that describe current and future capabilities. Use after feature-breakdown to document what a feature does, its business value, technical implement
Create publication-quality figures and graphs for scientific analysis. Use when creating bar charts, ROC curves, confusion matrices, scatter plots, heatmaps, 3D surface plots, or any data visualizatio
Build slide decks and presentations for research talks using Nano Banana Pro AI. Generates stunning PDF presentations with AI-generated slides. Use for conference presentations, seminar talks, thesis
Create a PR title and draft description after substantive code changes are finished. Trigger when wrapping up a moderate-or-larger change (runtime code, tests, build config, docs with behavior impact)
Apply task-specific templates to AI session plans using ai-update-plan. Use when starting a new task to load appropriate plan structure (feature, bugfix, refactor, documentation, security).
The doc-sync skill automates documentation updates after code changes, benefiting developers with consistent and accurate documentation. It enforces a self-documenting architecture, where code changes
Generate and optimize PRDs, Implementation Plans, and Progress Tracking documents optimized as AI artifacts for development agents. Use when creating new feature plans, breaking down long planning doc
Create dex task from markdown planning documents (plans, specs, design docs, roadmaps)
Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles
Complete feature development lifecycle from task selection through commit. Orchestrates component design, build loops with browser testing, PostHog analytics, and documentation updates. Use when build