Fine-tune LLMs using Red Hat training-hub library with SFT, LoRA, and OSFT algorithms. Use when preparing JSONL datasets, running training jobs, configuring hardware, scaling to clusters, evaluating models, or deploying with vLLM.
Statistically test whether a prompt or SKILL.md change is actually better than the old version. Use when the user asks to compare two prompts, A/B test a prompt change, check if a recent edit really improved things, find rule conflicts in a long prompt, or identify which sections of a prompt are pulling weight.…
Evaluate generative AI applications and models locally or in the cloud using Azure AI Evaluation SDK. Measure quality, safety, and performance with built-in and custom evaluators.
A bridge to Google's Gemini service that lets a coding agent analyze images, videos, and audio when its main model cannot handle those formats directly.
Production readiness review for applications incorporating AI / ML — covering classical ML models, generative models, LLM-powered applications, RAG systems, and agentic workflows. Checks AI system inventory, EU AI Act classification, training data governance, model supply chain, evaluation harness, prompt injection…
Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request prompt creation, optimization, or improvement for any LLM task, or when users need help translating vague requirements into effective prompts through collaborative dialogue and…
Create and optimize reusable prompt templates for AI assistants and autonomous agents. Use when user says "make a prompt for this task", "improve this prompt", "write a prompt template", "create a prompt for [task]", "optimize this prompt", or requests help designing instructions for LLMs or agents. Also trigger when…
Use when a raw prompt needs rewriting or sharpening, when the user says "rewrite this prompt", "make this prompt better", or asks for a prompt to hand to another agent. Also use before launching any autonomous, long-running, parallel or expensive run (/loop, subagent fan-out, worktrees, overnight work), and whenever a…
Deploy 1-bit quantized AI models on cheap VPS for Agent-as-a-Service. Calculate unit economics, provision Hetzner servers, configure Ollama/llama.cpp inference, and manage multi-tenant agent fleets with 98% margins.
A Chinese-language skill for creating prompts, including analysing requirements, asking follow-up questions, applying prompt structures, and producing multiple versions.
Turn a user's idea, scene description, or mood into ONE production-grade cinematic still-image prompt in English for text-to-image models (Seedream, Midjourney, Flux, DALL-E, or any image generator). Use this skill whenever the user asks for an image prompt, a cinematic frame, a "movie still" look, a photorealistic…
Skill for working with ESM2 protein language models from Meta FAIR. Use this skill whenever the user wants to generate protein embeddings or representations, score variant effects or predict mutation fitness, run contact prediction, or use ESMFold for structure prediction. Also trigger when the user mentions ESM2…
Writes, rewrites, reviews, and audits prompts and system prompts using Anthropic's current official guidance, and selects the right model and effort level for the task before drafting. Use when the user asks to write a prompt, improve or fix a prompt, design a system prompt, or check a prompt before running a task …
Use when the user wants to use an LLM coding agent such as Codex or Claude Code to run a reproducible machine learning workflow on tabular CSV data, including data profiling, leakage checks, binary classification baselines, evaluation metrics, threshold reports, model cards, and final reports.
Executes an automated data retrieval pipeline connecting to Kaggle, OpenML, SEC EDGAR, and FRED to extract raw datasets for machine learning and data engineering workloads. Use when a user needs to fetch, download, or search for raw datasets, market data, or macro-economic statistics.
Pick the right LLM or media model for a task, backed by live benchmark data from artificialanalysis.ai. Use when the user asks "which model should I use for X", "what's the best/fastest/cheapest model", "compare model A vs B", "model leaderboard", or anything about model intelligence / speed / price / context /…
Reduce LLM API costs by 60-90% with intelligent local routing + compress web content by 70-80% with token-optimized scraping. Free, runs locally, no markup. Two tools: Router (routes each prompt to cheapest capable model across OpenAI, Anthropic, Google) and Scraper (web pages to clean markdown with token counts). Use…
Use when a user wants a rough product, assistant, agent, chatbot, workflow, or business requirement converted into a visible expert-grade XML system prompt and immediately executed without waiting for approval.
A generator for Dify Chatflow agents. Dify is a platform for building AI chatbots and workflows, and a Chatflow is one of its configurable agent flows.
Analyse a codebase to determine which of the four AI product value modes it embodies — Amplifier, Substitute, Job Creator, or Democratiser — and produce a sober, evidence-grounded verdict report in plain prose (Unicode text only, no emojis). Use this skill when the user wants to understand the strategic positioning or…
A guide for turning reference material into reusable prompts and content systems for images, videos, social posts, and other creative work.
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originalMIT
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: