Total 40,830 skills
Showing 12 of 40830 skills
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
Create Manim animations for demo videos. Use when visualizing agent workflows, skill pipelines, or architecture diagrams as animated MP4 overlays
Anthropic's Contextual Retrieval technique for improved RAG. Use when chunks lose context during retrieval, implementing hybrid BM25+vector search, or reducing retrieval failures.
React Aria (Adobe) accessible component patterns for building WCAG-compliant interactive UI with hooks. Use when implementing buttons, dialogs, comboboxes, menus, and other accessible components in React applications.
Scans repository structure and generates comprehensive architecture documentation including system overview, entry points, module relationships, data flow diagrams, and "edit here for X" guides. Creates ARCHITECTURE.md for onboarding and navigation. Use when users request "document the codebase", "explain the architecture", "create onboarding docs", or "map the system".
Use Orchata MCP tools to search, browse, and manage knowledge bases programmatically. For MCP-connected environments only.
Automates Apple Notes via JXA. Use when asked to "create notes programmatically", "automate Notes app", "JXA notes scripting", or "organize notes with automation". Covers accounts/folders/notes, HTML bodies, queries, moves, and Objective-C/UI fallbacks for Notes.app automation on macOS.
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.
State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. Provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. The industry standard for Large Language Models (LLMs) and foundation models in science.
Streamlined code review for rapid assessment and targeted feedback. Use when reviewing small PRs, simple changes, or when you need a quick triage to determine if deeper review is required.
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
Use when animating navigation bars, menus, sidebars, or wayfinding elements to create smooth, intuitive transitions