ML Ops
Machine learning operations
nlm-to-editable-pptx
by Laggom
Use when the user has an image-based / non-editable PPTX or PDF (especially exported from NotebookLM, or any "scanned" deck where the slides are full-page pictures with no selectable text) and wants it converted into an editable PowerPoint with real, editable text boxes. Trigger this whenever the user mentions NotebookLM slides, "make this PPT editable", "the text isn't selectable", "convert this PDF deck to editable slides", Korean slide OCR, or rebuilding a deck so the text can be edited — even if they don't say the word "skill". Works on Windows/macOS/Linux and is portable to Databricks.
cohere-streaming
by RSHVR
Cohere streaming reference for real-time text generation, tool use events, and RAG citations. Covers all stream event types and async streaming patterns.
video-gen
by maxgent-ai
AI video generation with text-to-video, image-to-video, and first/last frame control. Use when users ask to generate or create videos from text prompts or images.
V-JEPA 2 Self-Supervised Training
by sovr610
This skill should be used when the user asks to "train V-JEPA model", "implement JEPA pretext task", "set up EMA target encoder", "configure self-supervised training", "implement smooth L1 loss", "create training loop for V-JEPA", "optimizer configuration", "learning rate schedule", "warmup cosine decay", "EMA momentum schedule", "collapse prevention", "predictor architecture", "masked prediction loss", "DROID fine-tuning loop", "annealing phase", "cooldown training", or needs guidance on V-JEPA 2 self-supervised learning, training loops, predictor design, or optimization strategies.
data-science-model-evaluation
by legout
"Model evaluation and validation: cross-validation, metrics, hyperparameter tuning, and model comparison. Use when assessing model performance, selecting models, or diagnosing modeling issues."
Visualization & Interpretability
by sovr610
This skill should be used when the user asks to "visualize activations", "plot spike rasters", "show attention heatmaps", "visualize workspace", "plot reasoning traces", "create t-SNE embeddings", "interpret model decisions", "visualize HTM patterns", "show neuromodulator levels", "plot training curves", "create activation maps", "visualize feature maps", "explain predictions", "debug model behavior visually", or needs guidance on visualization, interpretability, or explainability tooling for the brain_ai system.
senior-ml-engineer
by nimeshgurung
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
groq-api
by diskd-ai
Groq API integration for building AI-powered applications with ultra-fast LLM inference. Use when working with Groq's Chat Completions API, Python SDK (groq), TypeScript SDK (groq-sdk), tool use/function calling, vision/image processing, audio transcription with Whisper, streaming responses, text-to-speech, content moderation with Llama Guard, batch processing, or any Groq API integration task. Triggers on mentions of Groq, GroqCloud, or fast LLM inference needs.
sales-operations-setup
by thierryteisseire
Comprehensive sales operations setup assistant that guides users through implementing lead management, forecasting, sales enablement, data analysis, process optimization, and team building based on proven sales operations frameworks and best practices.
agentic-development
by campbellmcgregor
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
feedback-mastery
by VisualxIntelligence
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
rails-testing-rspec
by shivamsinghchahar
Write Rails tests with RSpec, FactoryBot, and mocking patterns. Use when creating tests, writing specs for models/controllers/requests, setting up test fixtures, or mocking external services.
Audio Transcriber
by yousufjoyian
Claude agent skills and workspace configuration
renaissance-statistical-arbitrage
by copyleftdev
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history. Emphasizes statistical arbitrage, signal processing, and rigorous scientific methodology. Use when developing alpha research, signal extraction, or systematic trading strategies.
aidr
by pc-style
Offload context-heavy but low-complexity codebase work to Aider through a thin CLI wrapper. Use when another AI agent should avoid loading large repository context for tasks like discovery, repetitive refactors, cross-file version bumps, and broad search/explain passes. Supports safe read-only scanning, scoped edit runs, model-mode routing, and setup/model diagnostics.
langfuse-model-upsert
by neuradex
Create or update Langfuse model pricing. Use when setting up new models, updating pricing, or configuring model costs.
prompt-engineer
by pateljig4545
Transform rough prompts/ideas into production-ready LLM prompts. Use when crafting, refining, or optimizing prompts for any AI model (Claude, GPT, Llama, etc.) with advanced techniques like CoT, constitutional AI, RAG optimization.
oatda-generate-video
by devcsde
Use when the user wants to generate videos using AI models through OATDA's unified API. Supports MiniMax, Google Veo, Alibaba Wan, ZAI, and OpenAI Sora. Video generation is asynchronous.
capa-officer
by nimeshgurung
Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.
SKILL.md — task-router
by manthis
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senior-data-scientist
by nimeshgurung
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
streams-mcp-tools
by jwongmongodb
Build, operate, and debug Atlas Stream Processing through the MongoDB MCP Server. Use when user says "set up a Kafka pipeline", "deploy a stream processor", "add a connection to my workspace", "why is my processor failing", "stop my processor", "delete my workspace", "show me my Streams workspaces", or any task involving Atlas Stream Processing workspaces, connections, or processors. Do NOT use for general MongoDB queries, Atlas cluster management, or non-Streams Atlas operations.
ai-news-radar
by HUANGYming
Summarize current AI news by searching for recent developments across model releases, product launches, research, regulation, funding, and major industry moves. Use when the user wants a concise snapshot of what is happening in AI right now.
token-cost
by EvilFreelancer
Use when the user invokes /token-cost or asks for the floor / bedrock / self-cost / "real" price of LLM tokens on a self-hosted server — the physical lower bound from electricity plus hardware amortization, NOT the market API price. The skill measures power draw and generation speed ON the server (nvidia-smi, streaming benchmark) and asks for electricity tariff, hardware cost and amortization period, then prints cost per 1M input/output tokens. Triggers: "сколько на самом деле стоит токен", "цена самохоста", capacity and break-even planning.