Browse the metahub catalog

get an env var, fetch a secret, missing env var, missing token/API key, load secrets from Infisical, infisical. Fetch secrets from the team's Infisical workspace into the shell environment so subsequent commands can use them.

do e2e tests, run e2e, validate feature, prove it works, PR proof, frame proof, pnpm evals. Launches iPolloWork on Daytona or local Electron and runs the coded eval flows via CDP. Launch + run mechanics; the proof loop itself is the fraimz skill.

AI-powered OSINT agent, MCP server, and CLI. Interactive REPL + 16 tools. Anthropic Claude or local Ollama. For authorized security research use only.

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".

upload a photo/image/screenshot, host an image, get a public image URL, put images on Vercel Blob, embed images in a PR/comment/doc. Upload local images to Vercel Blob and print public URLs.

Use when: the user asks to make or render charts with flint-chart, visualize tabular data, generate a ChartAssemblyInput, validate/render through MCP, or add Flint to a JS/TS project. Author the semantic spec, transform data before Flint when needed, install/import Flint only when executable code is needed, and reserve backend-specific style tweaks for after compiling from Flint.

write the voice-over, demo script first, voiceover instead of PRD, voiceover-first development, align on the demo, script the demo, ship a feature demo-first. The whole demo-driven journey — approve the narration BEFORE any code, then build on a fresh worktree until the demo holds and open the PR with the proof on it. Use when a feature request arrives, or when the user runs /voiceover.

Model Context Protocol server for Flint — compile, validate, and render semantic chart specs to Vega-Lite, ECharts, or Chart.js artifacts (PNG/SVG) in-process.

JS reverse engineering MCP server with agent-first tool design and built-in anti-detection. 为 AI Agent 设计的 JS 逆向 MCP Server，内置反检测。

Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,894 supported skills.

Editorial "AAS Accessibility & Inclusive UX" bundle for Claude Code from Agentic Awesome Skills.

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

Install the "AAS Accessibility & Inclusive UX" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Agent & MCP Builder" bundle for Claude Code from Agentic Awesome Skills.

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

Install the "AAS Agent & MCP Builder" workflow plugin from Agentic Awesome Skills.

Editorial "AAS AI Product & Evaluation Ops" bundle for Claude Code from Agentic Awesome Skills.

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

Install the "AAS AI Product & Evaluation Ops" workflow plugin from Agentic Awesome Skills.

Editorial "AAS API Platform Builder" bundle for Claude Code from Agentic Awesome Skills.

Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.

Install the "AAS API Platform Builder" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Automation Builder" bundle for Claude Code from Agentic Awesome Skills.

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

Install the "AAS Automation Builder" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Data Analytics" bundle for Claude Code from Agentic Awesome Skills.

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit

Install the "AAS Data Analytics" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Data Engineering Platform" bundle for Claude Code from Agentic Awesome Skills.

Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.

Install the "AAS Data Engineering Platform" workflow plugin from Agentic Awesome Skills.

Editorial "AAS DevOps & Cloud" bundle for Claude Code from Agentic Awesome Skills.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Install the "AAS DevOps & Cloud" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Documents & Presentations" bundle for Claude Code from Agentic Awesome Skills.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

Install the "AAS Documents & Presentations" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Localization & International Growth" bundle for Claude Code from Agentic Awesome Skills.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

Install the "AAS Localization & International Growth" workflow plugin from Agentic Awesome Skills.

Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,894 supported skills.

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.

Install the "AAS Marketing, SEO & Growth" workflow plugin from Agentic Awesome Skills.

Editorial "AAS Mobile App Builder" bundle for Claude Code from Agentic Awesome Skills.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Install the "AAS Mobile App Builder" workflow plugin from Agentic Awesome Skills.

Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.