Generate production-grade prompts following patterns extracted from Claude Code source. Use when writing system prompts, tool descriptions, agent instructions, compression prompts, or any structured LLM prompt. Triggers on "write a prompt", "generate prompt", "design prompt", "create instructions for".
🤖 Data Science & AI/ML skill suite derived from VoltAgent/awesome-agent-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
🤖 Data Science & AI/ML skill suite derived from BehiSecc/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV…
Use when optimizing or iterating on prompts for a student LLM — a prompt produces wrong-shaped output, hallucinations, refusals, poor instruction-following, or when migrating a prompt between models with different quirks. Also use when hardening a prompt against indirect prompt injection from untrusted external data.
OpenAI-compatible LLM gateway for any client-side application (browser, mobile, React Native, Flutter, VS Code extensions, browser extensions, Electron, smart TV, and more). Routes requests to OpenAI, Anthropic, Gemini, Groq, Mistral, and 200+ models, handling CORS, key encryption, and streaming without a dedicated…
A research workflow that reuses verified GraphRAG research trails. GraphRAG combines graph-based connections between information with search to investigate questions and produce cited reports.
Deploy a knife detection model on Triton Inference Server using reComputer J1010 for X-ray security scanning, with Raspberry Pi clients sending images for inference and displaying detection results.
🤖 Data Science & AI/ML skill suite derived from alirezarezvani/claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Configure the Ask AI (RAG-powered AI chat) in @farming-labs/docs. Use when enabling AI chat, setting mode (search vs floating), floatingStyle (panel, modal, popover, full-modal), position, providers, models, suggestedQuestions, apiKey, systemPrompt, or maxResults. Covers Next.js, SvelteKit, Astro, Nuxt and env vars.
Use Google Gemini for image generation, text chat, file analysis, URL/YouTube analysis, and multi-turn conversations via MCP. Triggers on requests to generate images with Gemini, chat with Gemini, analyze files/URLs/videos with Gemini, use Gemini models, or when user asks to create/edit images and needs prompting…
🤖 Data Science & AI/ML skill suite derived from travisvn/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Convert Hugging Face transformers language models to MLX format for Apple Silicon inference. Use when asked to convert a model from transformers to MLX, port a model to MLX, create an MLX implementation of a model, or test/validate an MLX model conversion. Triggers include mentions of "convert to MLX", "MLX…
🤖 Data Science & AI/ML skill suite derived from shanraisshan/claude-code-best-practice. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
🤖 Data Science & AI/ML skill suite derived from borghei/Claude-Skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
The art of keeping your AI stack small and shaped on purpose. Use when building AI features, selecting models, designing extraction/RAG/agent pipelines, or about to reach for a frontier LLM (GPT-5, Claude Opus, Gemini Pro). Enforces a smallest-tool-first ladder (regex, spaCy NER, small LLM, frontier) and challenges…
Diagnose slow, expensive, or regressed Apache Spark and PySpark applications by comparing runtime evidence against a healthy run. Use for long stages, stragglers, skew, shuffle, spill, garbage collection, poor parallelism, small files, slow scans, scheduler delay, executor imbalance, and unexplained compute-cost…
Write high-quality GPT-Image-2 prompts with strong structure, layout logic, and production-ready visual direction. Use this skill whenever the user asks for image prompts, wants better GPT-Image-2 prompting, wants to upgrade a weak image prompt, asks for prompt templates, wants series-style prompt systems, needs…
🤖 Data Science & AI/ML skill suite derived from anthropics/claude-code. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
🤖 Data Science & AI/ML skill suite derived from anthropics/skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Answer questions about using AI Primitives Hub and authoring bundles. Use this skill whenever the user asks about bundles, collections, hubs, profiles, sources, scopes, marketplace, repository installation, deployment manifests, source scaffolding, collection schemas, validation errors, publishing, or any AI…
★not rated 50 todayA76 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: