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Found 2,669 Skills
Interact with the Cargo platform via CLI. Use when the user wants to execute an action, run a workflow, trigger a batch, message an AI agent, query orchestration runtime tables (runs/batches/spans/records) with SQL, fetch segment records, or inspect a model schema.
Clone a GitHub repo and extract design tokens (colors, fonts, spacing) from its codebase. Use when user gives a github.com URL and wants a design system or design work rooted in the repo's style.
MCP Server connecting AI agents to 70+ Brazilian public APIs for government data, economy, legislation, transparency, judiciary, elections, environment, health, education, and more
Free disk space on macOS using an interactive CLI that clears caches, logs, Homebrew, Xcode junk, and more
Troubleshoot Coval OpenTelemetry trace ingestion, missing trace UI, sparse traces, bad simulation or conversation correlation, auth/org errors, oversized payloads, duplicate spans, and production debugging with Trace Search.
Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome / climate / materials / astronomy / pathology / weather ML, or needs AI tools for research — even if they never say "Hugging Science" explicitly. The catalog is purpose-built for LLM agents (it ships an `llms-full.txt`); prefer it over generic web search for these tasks.
Implement Syncfusion Maps component for ASP.NET Core to visualize geographical data. Use this when working with maps, GeoJSON files, choropleth visualizations, or spatial data display. This skill covers map layers, markers, bubbles, map providers (Bing Maps, Azure Maps, OpenStreetMap), data binding, color mapping, and user interactions like zooming and panning. Suitable for world maps, country maps, regional visualizations, and location-based data presentation.
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.
Drive terminal sessions, panes, and TUIs from an agent — spawn shells, send keystrokes, snapshot pixel-perfect PNGs of any pane, and extend shux itself with line-delimited JSON-RPC plugins in any language. Use when you need to multiplex terminal work, drive a TUI you'd otherwise control with tmux / screen / iTerm2 / expect / pexpect / asciinema / vhs / termshot, run scripted CLI/REPL interactions, do headless visual regression on a terminal UI, or write a process plugin that subscribes to the shux event bus and calls back through `window.rename`, `pane.send_keys`, `state.apply`, etc. Trigger phrases include "drive terminal", "spawn pty session", "send keys to a TUI", "screenshot a tui", "snapshot pane", "replace tmux", "iTerm2 automation", "expect script", "headless terminal test", "agent multiplexer", "asciinema record", "write a shux plugin", "extend shux", "shux plugin install".
Unified Minions skill for both deterministic shell jobs and LLM subagent orchestration. Replaces the older `gbrain-jobs` routing intent. Use when: submitting gbrain jobs, shell/background tasks, spawning subagents, checking progress, steering running work, pausing/resuming, parallel fan-out. One durable, observable, steerable queue interface.
Originality.ai integration. Manage Documents, Users, Workspaces. Use when the user wants to interact with Originality.ai data.