LLMs, embeddings, RAG, fine-tuning, and AI model tools
48 boosters
  
This skill guides developers in building LLM-powered applications using Claude and Anthropic SDKs, with smart triggering based on API imports and user intent. Ideal for developers looking to integrate Claude into their projects with language-specific best practices.
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation. Scan the target file (or, if no target file, the prompt and project) for non-Anthropic provider markers
This booster enables Claude Code to process, convert, and extract data from documents (PDF, DOCX, XLSX, PPTX, HTML, images) using the Nutrient DWS API, including OCR, editing, signing, and form-filling capabilities. Developers building document automation workflows benefit from seamless integration with multiple file formats.
"name": "claude-mem", "version": "10.4.1", "description": "Persistent memory system for Claude Code - seamlessly preserve context across sessions",
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 7 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing, compliance, C-level advisory, and more.  tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
Transformers.js enables running state-of-the-art machine learning models directly in JavaScript, both in browsers and Node.js environments, with no server required. Use this skill when you need to: The pipeline API is the easiest way to use models. It groups together preprocessing, model inference,
This skill is for running evaluations against models on the Hugging Face Hub on local hardware. It does not cover: If the user wants to run the same eval remotely on Hugging Face Jobs, hand off to the skill and pass it one of the local scripts in this skill.
Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Helper scripts use PEP 723 inline dependencies. Run them with :
"name": "huggingface-skills", "description": "Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub", "name": "Hugging Face"
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
"name": "understand-anything", "description": "AI-powered codebase understanding — analyze, visualize, and explain any project", "homepage": "https://github.com/Lum1104/Understand-Anything",
You are the ZCF Configuration Architect for the ZCF (Zero-Config Code Flow) project.
You are the ZCF Template Engine Specialist for the ZCF (Zero-Config Code Flow) project.
Strata is an MCP server enabling progressive, scalable tool usage for AI agents across Claude Desktop, Claude Code, and Cursor. It benefits developers building multi-step AI applications that need flexible, composable tool orchestration.
"name": "byterover-cli", "description": "ByteRover's CLI", "cli", "ai", "llm", "mcp", "developer-tools",
A Chinese academic paper editing prompt that removes AI-generated traces and humanizes writing to match natural scholar voice. Benefits researchers, students, and academics writing in Chinese who want their papers to sound authentically human rather than AI-generated.
Yielding Bear provides a single unified API that routes every LLM request to the cheapest capable model across 16+ providers — saving 60-80% vs calling OpenAI, Anthropic, or Google directly. 1. Get an API key at https://yieldingbear.com/api 2. Set environment variable:
TinyAGI supports running multiple AI agents simultaneously, each with its own isolated workspace, configuration, and conversation state. This allows you to have specialized agents for different tasks while maintaining complete isolation. The agent management feature enables you to: When a message ar
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "description": "Professional multi-agent development workflows with OmO orchestration, Requirements-Driven and BMAD methodologies", "email": "evanxian9@gmail.com"
"version": "9.18.0", "description": "v9.18.0 — Multi-LLM orchestration for Claude Code with Double Diamond workflows, provider routing, safety gates, and automation. Use '/octo:auto' or just describe what you need. Run /octo:setup.", "repository": "https://github.com/nyldn/claude-octopus",
This skill provides automated assistance for react context setup tasks within the Frontend Development domain. This skill activates automatically when you: 1. Provides step-by-step guidance for react context setup
"name": "taches-cc-resources", "description": "Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows", "name": "Lex Christopherson",
End-to-end migration playbook for moving from SAP Concur or legacy travel management systems to Navan. Navan uses REST APIs with OAuth 2.0 — there is no SDK, no automated migration tool, and no sandbox for testing. 1. Configure SCIM connector in your IdP (Okta, Azure AD) 2. Map IdP groups to Navan r
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Unity-MCP generates custom requirement checklists that validate the quality and completeness of feature specifications rather than testing implementation. Developers and product teams benefit by ensuring requirements are clear, specific, and testable before development begins.
Check the status of VoiceMode services. Shows the current status of VoiceMode services including Whisper (STT), Kokoro (TTS), and LiveKit (if used). Shows for each service:
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "sentrux-marketplace", "description": "Sentrux — live codebase visualization and structural quality gate for AI-agent-written code",
"description": "Agentic SOC Platform Claude Plugin", "description": "A comprehensive toolkit for operating the ASP platform, including features such as case management,SIEM Query.", "source": "./PLUGINS/ClaudeCode",
"name": "adversarial-spec", "description": "Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.", "repository
"name": "langchain-skills", "description": "Agent skills for building agents with LangChain, LangGraph, and Deep Agents", "name": "LangChain",
"name": "nano-banana-2-skill-marketplace", "url": "https://github.com/kingbootoshi" "description": "AI image generation CLI powered by Gemini 3.1 Flash (default) and Gemini 3 Pro. Multi-resolution, aspect ratios, cost tracking, green screen transparency, reference images, style transfer.",
LC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
"name": "claude-code-organizer", "description": "Organize all your Claude Code memories, skills, MCP servers, and hooks — see what loads globally vs per-project, then move items between scopes", "name": "ithiria894",
1. Gather requirements: Ask user for project name, program functionality, required instructions, and frontend features 2. Generate project structure: Create complete directory tree following Anchor conventions 3. Create Rust smart contract: Generate lib.rs, state.rs, errors.rs, and instruction handl
"description": "Royal Navy agent coordination framework — sailing orders, battle plans, action stations, and a captain's log", "author": { "name": "Harry Munro" }, "repository": "https://github.com/harrymunro/nelson",
Smart Coding MCP enhances developer productivity with AI-powered semantic code search, intelligent indexing, and hybrid search capabilities integrated into Cursor, Claude Desktop, and VS Code. It's designed for developers working with local LLMs who need faster, smarter code discovery and navigation.
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers. Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely dif
"name": "claudetop", "description": "htop for your Claude Code sessions — real-time cost tracking, cache efficiency, model comparison, smart alerts, web dashboard, and session analytics", "name": "Lior Weinstein",
A comprehensive Go testing booster that teaches TDD methodology, table-driven tests, benchmarking, and fuzzing patterns for Claude Code users. Ideal for Go developers aiming to write reliable, well-tested code following idiomatic Go practices.
"name": "llm-wiki-compiler", "name": "llm-wiki-compiler", "source": "./plugin",
"name": "claude-prompts", "description": "Hot-reloadable versioned prompts with easy tools for prompt engineering, chain workflows, quality gates. Symbolic syntax: >>prompt --> >>chain @framework :: 'gate'", "homepage": "https://github.com/minipuft/claude-prompts",
梅花易數（梅花心易）專業占卜系統。相傳為宋代邵雍（邵康節）所創。 占卜目的不只告知吉凶，而是指引如何做出最佳改變。 每次解卦必須提供策略建議，告訴用戶下一步該如何行動。
"name": "matryoshka-rlm", "version": "0.2.17", "description": "Recursive Language Model - Process documents larger than LLM context windows",
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
A Claude Code skill that integrates Google AI Mode for enhanced web research, delivering AI-synthesized answers from 100+ sources with citations instead of raw search results. Developers and researchers using Claude Code CLI will benefit from token-efficient, zero-config web research capabilities.
