debugging-output-and-previewing-html-using-ray
Use when user says "send to Ray," "show in Ray," "debug in Ray," "log to Ray," "display in Ray," or wants to visualize data, debug output, or show diagrams in the Ray desktop application.
swift-mlx-lm
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.
install-pymllm
Install the pymllm Python package. Asks the user whether to do a full build (with CMake C++ compilation) or a fast install (Python-only, skip CMake). Use when the user asks to install, set up, or reinstall pymllm.
auth:mlflow-oidc-auth
Configure MLflow with mlflow-oidc-auth plugin for Keycloak OIDC authentication
MLOps Automation
Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.
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Mymlh Mcp Server
OAuth-enabled MyMLH MCP server for accessing MyMLH data.
mlp-continuity
Full-stack memory continuity with MLP storage. Combines the Continuity Framework's reflection capabilities with encrypted IPFS/Pinata storage via the Memory Ledger Protocol.
zenml-backport
Backport docs/examples changes to a pre-existing ZenML release. Use when changes merged to `develop` need to be reflected in a live release version. Triggers include "backport", "cherry-pick to release", "update release docs", or when docs/examples changes need to be applied to an existing release branch.
ezorm-gen-yaml-mongo
Generate Go code from ezorm YAML (mongo). Use when asked to produce Go output from mongo YAML schemas; provide the exact ezorm CLI command(s).
Io.Github.Ludmila Omlopes/Youtube Video Analyzer
MCP stdio server for analyzing YouTube videos with Google Gemini
building-streamlit-chat-ui
Building chat interfaces in Streamlit. Use when creating conversational UIs, chatbots, or AI assistants. Covers st.chat_message, st.chat_input, message history, and streaming responses.
Streamline MCP Server
The Streamline MCP Server allow users to search, and download assets in PNG or SVG formats.
Io.Github.DrQedwards/Pmll Memory Mcp
PMLL Memory MCP — persistent KV context memory and Q-promise deduplication.
fast-mlx
Optimize MLX code for performance and memory. Use when asked to implement or speed up MLX models or algorithms, reduce latency/throughput bottlenecks, tune lazy evaluation, type promotion, fast ops, compilation, memory use, or profiling.
Ucn
Code intelligence for AI agents. Extract, trace, and analyze code without reading whole files.
HTML/CSS to Image
An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.
mlx
Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.
AI/ML Attack Surface
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading", "Jupyter injection", "LLM security", or needs to identify AI/ML-specific vulnerabilities in codebases that use machine learning frameworks.
creating-streamlit-themes
Creating and customizing Streamlit themes. Use when changing app colors, fonts, or appearance, or aligning apps to brand guidelines. Covers config.toml configuration, design principles, and CSS avoidance.
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ai-ml-development
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
swift-mlx
MLX Swift - High-performance ML framework for Apple Silicon with lazy evaluation, automatic differentiation, and unified memory
Ink MCP
Deploy and manage applications, databases, domains, and git repos
PublicData Oracle
Public data API with ML enrichment — SEC EDGAR, FRED, NOAA, EPA, USGS. 404 endpoints.
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brand-yml
Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Covers: (1) Creating new _brand.yml files from brand guidelines, (2) Applying brand.yml to Shiny for R apps with bslib, (3) Applying brand.yml to Shiny for Python apps with ui.Theme, (4) Using brand.yml in Quarto documents, presentations, dashboards, and PDFs, (5) Modifying existing brand.yml files, (6) Troubleshooting brand integration issues. Includes complete specifications and framework-specific integration guides.
Assessing Douyin Creator Fang Qi's Writing Skill; | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22s46YZ-p7snQFVwtx_4Izl%22%2C%22flow%22%3Atrue%7D%7D)
Douyin;Writing skills;Social media
run-mlp-autoresearch
Autonomously iterate and improve the MLP model in MLP-AutoResearch.
xaml-csharp-development-skill-for-avalonia
Build, review, design, migrate, and optimize Avalonia applications with modern XAML/C# patterns, compiled bindings, AOT-friendly architecture, professional UI/UX design systems, design tokens, control themes, and Microsoft Fluent design system customization. Use for tasks involving Avalonia app startup and lifetime wiring, view/viewmodel composition, bindings in .axaml/.xaml and C#, styles/themes/resources, polished visual design, FluentTheme palette work, platform-specific bootstrapping (desktop/browser/mobile/headless), trimming/NativeAOT compatibility, reactive UI flows, performance tuning, and troubleshooting build/runtime issues in Avalonia projects.
A comprehensive, vendor-agnostic framework for consistent AI-assisted development workflows - standardized instructions and commands that work seamlessly across Claude, Gemini, Copilot, and local AI models. See also: https://github.com/JacobPEvans/claude-code-plugins
Reduce GitHub issue backlog through deduplication, linking, and closure. Use before creating new issues, when enforcement_mode is CONSOLIDATION, when issue:PR ratio exceeds 3:1, when AI-created issues reach 25, or when total issues approach 50.
AzureML Project Scaffolding
A battle-tested structure for AI projects that require reproducible experimentation, leveraging AzureML for cloud execution. It ensures reproducibility from day one without sacrificing the path to production â and without breaking the ability to keep experimenting once you're there. Code, environm
Cml Mcp
An MCP server that provides access to common Cisco Modeling Labs (CML) operations.
Opik MCP Server
Interact with Opik prompts, traces, datasets and metrics through the Model Context Protocol.