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Found 2,405 Skills
Turn any concept into an animated explainer video using Manim (Python). Use whenever the user wants animated visualizations, motion graphics, or video output (MP4/GIF) for technical concepts. Covers: architecture animations, data flow visualizations, algorithm step-throughs, pipeline explainers, math proofs, comparisons, agent interactions, training loops, or any "animate X" / "make a video of X" request. Also trigger for existing Manim scene edits or re-renders. Trigger on: "create a video", "animate this", "make an explainer", "concept to video", "manim animation", "show this as a video", "motion graphic", "visualize this process", or any concept + video/animation output request. Use this skill even for casual "animate" requests about technical ideas.
Executes Python scripts, tests, or benchmarks on a provisioned remote cluster (GPU or TPU) using SkyPilot. Use this skill when the user asks to run code on GPU, TPU, or any "remote" cluster.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Use this skill when you need to work with context7 through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Comprehensive software development planning and implementation skill. Triggers when: Creating new Python software with CLI/GUI/Web interfaces, planning software architecture and modules, designing scientific or engineering applications, setting up bilingual documentation and PyPI publishing, or needing academic research-based feature design. Capabilities: Pre-development planning and research, multi-interface design (CLI + PySide6 GUI + Flask Web), scientific visualization with pyqtgraph, academic literature-based feature design, sample data and test documentation generation, bilingual README with structured sections, GPLv3 licensing and PyPI publishing setup.
A step-by-step practice tool for LeetCode medium-difficulty interview questions. It is triggered when users want to practice algorithm problems, brush up on LeetCode, prepare for technical interviews, or say "Give me a problem", "Next problem", "Generate scaffold", "Start practicing". It supports categorized practice by problem type (DP, Linked List, Tree, Graph, Sliding Window, Two Pointers, Hash Table, Binary Search, Stack, Heap, Backtracking, Interval, String, Union Find), generates Python scaffolds with test cases for each problem, tracks learning progress via Markdown tables, and guides users to think independently before providing solutions. It supports the goal of 3 problems per day, counts progress via `git diff README.md` and submits to Git.
LLDB debugger skill for C/C++/Swift/Objective-C programs. Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang environments, mapping GDB mental models to LLDB commands, using LLDB in Xcode or VS Code, or debugging Swift/Objective-C. Activates on queries about LLDB commands, GDB to LLDB migration, Apple platform debugging, LLDB Python scripting, or IDE-integrated debugging with clang-built binaries.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a benefit change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Triggers on "all-hands announcement", "town-hall script", "change comms", "internal newsletter", "rollout comms", "policy change announcement", "re-org announcement", "internal FAQ", "manager talking points", "Prosci ADKAR", "Kotter 8-step", "layoff comms", "RIF comms", "internal memo". Pairs Prosci ADKAR (Awareness / Desire / Knowledge / Ability / Reinforcement) and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points. Industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Distinct from marketing-skill/* (external/customer-facing), c-level-advisor/internal-narrative (strategic framing, not tactical drafts), and c-level-advisor/change-management (executive change strategy, not the comms package itself).
Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.