ML Ops
Machine learning operations
huggingface-accelerate
by ovachiever
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
quantizing-models-bitsandbytes
by ovachiever
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
midnight-concepts
by mzf11125
Foundational knowledge about Midnight Network zero-knowledge blockchain technology, privacy mechanisms, and architecture. Use when users need to understand zero-knowledge proofs, privacy mechanisms like Zswap and selective disclosure, partner chain architecture, real-world use cases for private DeFi and voting, when to use Midnight for privacy-preserving applications, and core concepts of the Midnight ecosystem.
metrillm
by MetriLLM
Benchmark local LLM models — measures performance (tok/s, TTFT, memory), quality (reasoning, math, coding, instruction following, structured output, multilingual), and computes a hardware fitness verdict. Works with Ollama.
shelby
by raintree-technology
Shelby Protocol expert for decentralized blob storage on Aptos blockchain. Covers erasure coding (Clay Codes), TypeScript SDK, smart contracts, CLI tools, storage providers, and dApp integration. High-performance storage for video streaming, AI training, and large datasets. Triggers on Shelby, Shelby Protocol, decentralized storage, Aptos storage, blob storage, ShelbyNodeClient, erasure coding, Clay Codes.
roi-calculator
by luisschmitzheadline
Build an ROI calculator or value model for deals. Inputs: cost savings, efficiency gains, revenue impact. Output: ROI %, payback period, value summary. Trigger with "create ROI calculator for [deal/segment]", "value model for [product]", or use the /create-roi-calculator command.
Business Model Frameworks
by ThepExcel
pricing-strategist
by luisschmitzheadline
Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively. Use when user needs pricing plans, tier structures, price points, pricing model recommendations, or any pricing-related strategy for their product or service.
startup-go-to-market
by luisschmitzheadline
Use when designing go-to-market strategy, selecting GTM motion (PLG/sales-led), defining ICP, planning product launches, or implementing AI-powered GTM automation. Covers channel selection, growth loops, RevOps alignment, and market entry execution.
Business Model Frameworks
by luisschmitzheadline
creating-financial-models
by luisschmitzheadline
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
forecast
by luisschmitzheadline
Generate weighted sales forecasts with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Works standalone with CSV or pasted pipeline; supercharged when you connect CRM. Trigger with "forecast my pipeline", "weighted forecast for this quarter", or use the /forecast command.
startup-financial-modeling
by luisschmitzheadline
This skill should be used when the user asks to "create financial
financial-model-architect
by luisschmitzheadline
Build comprehensive 3-5 year financial models projecting revenue, expenses, headcount, cash flow, and runway. Model unit economics, scenario planning, and path to profitability. Generate investor-ready HTML reports with detailed projections and charts.
pricing-strategy-architect
by luisschmitzheadline
Value-based pricing framework with Van Westendorp PSM analysis. Designs tier structure, packaging strategy, and unit economics. Produces comprehensive pricing strategy with Good-Better-Best model, competitive positioning, and implementation roadmap.
smolagents
by svngoku
Build AI agents with Hugging Face's SmolAgents framework. Use when creating code-executing agents, tool-calling agents, multi-agent systems, agentic RAG, text-to-SQL pipelines, web browsing agents, or any multi-step AI workflows. Covers CodeAgent, ToolCallingAgent, custom tools, MCP integration, memory management, secure code execution (E2B, Docker, Blaxel), and model configuration (HF Inference, LiteLLM, Transformers, Ollama).
unsloth-hf-jobs
by svngoku
Fine-tune LLMs and VLMs using Unsloth on HF Jobs (Hugging Face on-demand cloud GPUs). Use when users want to fine-tune language models, train VLMs (Vision Language Models), do continued pretraining, domain adaptation, or run UV scripts on HF Jobs. Triggers on requests involving Unsloth training, HF Jobs GPU training, Qwen3-VL fine-tuning, Gemma VLM training, or LoRA fine-tuning on cloud GPUs.
depresearch
by Quintui
CLI tool for AI-powered research of open-source repositories. Use when you need to understand how a feature works in an external codebase without cloning it yourself.
ML/AI Skills Conversion Project
by 404kidwiz
Follow the existing patterns to implement these skills.
dlt-dagster
by untitled-data-company
Runs dlt pipelines in Dagster as software-defined assets (Component or Pythonic @dlt_assets) or as a single standard Dagster asset. Use when orchestrating dlt with Dagster; scaffolding loads.py/defs.yaml; jobs/schedules; secrets/env; incremental/backfill via apply_hints; parallelization (one asset per resource); Dagster Cloud deployment; or external compute (ECS, Fargate — refer to dagster-integrations). Triggers: dagster-dlt, dlt on Dagster, deploy dlt with Dagster, standard Dagster asset, external compute.
gcse-pe-tutor
by markpitt
GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.
dlt-skill
by untitled-data-company
Creates and maintains dlt (data load tool) pipelines from APIs, databases, and other sources. Use when the user wants to build or debug pipelines; use verified sources (e.g. Salesforce, GitHub, Stripe) or declarative REST API or custom Python; configure destinations (e.g. DuckDB, BigQuery, Snowflake); implement incremental loading; or edit .dlt config and secrets. Use when the user mentions data ingestion, dlt pipeline, dlt init, rest_api_source, incremental load, or pipeline dashboard.
fine-tuning-data-generator
by markpitt
Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.
product-delivery
by yannickYamo
Ship, measure, and learn effectively. Use when planning staged rollouts, setting up metrics hierarchies, running bet retrospectives, or executing GTM launches. Part of the Modern Product Operating Model collection.