MLOps
Operacions d’aprenentatge automàtic
mlops-engineer
olehsvyrydov
Senior MLOps Engineer with 8+ years ML systems experience. Use when integrating LLM APIs (Gemini, OpenAI, Groq), building AI pipelines, managing prompts, setting up model serving, implementing AI cost optimization, or building training data pipelines.
predictive-intelligence
groeimetai
This skill should be used when the user asks to "predictive intelligence", "machine learning", "ML", "classification", "similarity", "clustering", "prediction", "AI", or any ServiceNow Predictive Intelligence development.
eld-model-law-card
CAPHTECH
Deprecated: /eld-spec-card law を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-card law に転送されます。
eld-model-link-map
CAPHTECH
Deprecated: /eld-spec-link を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-link に転送されます。
eld-model-law-discovery
CAPHTECH
Deprecated: /eld-spec-discover を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-discover に転送されます。
deep-reading-analyst
ginobefun
"Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis."
agent-sdk
rysweet
Comprehensive knowledge of Claude Agent SDK architecture, tools, hooks, skills, and production patterns. Auto-activates for agent building, SDK integration, tool design, and MCP server tasks.
nlp-processing
pluginagentmarketplace
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
elevenlabs-tts
krishagel
Generate high-quality audio from text using Eleven Labs API. Use for podcasts, narration, voice-overs, and audio summaries.
mlops-deployment
pluginagentmarketplace
Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.
charlie
EveryInc
Your AI CFO for bootstrapped startups, named after Charlie Munger who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, working capital optimization, and forecasting. Use for questions like "should we make this hire?", "how much runway do we need?", "what metrics should I track?", "how do I forecast revenue?", or any strategic financial decision at a self-funded company.
notebook-patterns
jsboige
Pedagogical patterns for enriching notebooks (GameTheory model). Use when adding interpretations, structuring notebooks, or creating educational content in Jupyter notebooks.
pal-mcp-server
pacphi
AI orchestration and multi-model collaboration MCP server. Use when you need multi-model AI collaboration, code reviews, debugging assistance, planning, consensus building, or advanced reasoning across multiple AI providers (Gemini, OpenAI, Grok, Azure, Ollama, etc.).
Jupyter Notebooks
pacphi
Comprehensive Jupyter notebook operations - create, execute, and analyze notebooks with full cell manipulation
train-model
jsboige
Train an ML model in the QuantConnect ML-Training-Pipeline with thermal-safe GPU usage and rigorous validation. Arguments: <architecture script> [--dry-run] [--seeds 0,1,7,42,99] [--folds 5] [--bg]
PyTorch ML
pacphi
Deep learning with PyTorch - model training, GPU acceleration, and data science workflows
enrich-notebooks
jsboige
Enrich Jupyter notebooks with pedagogical markdown content. Arguments: [target] [--execute] [--fix-errors] [--strict] [--consecutive] [--iterate]
verify-notebooks
jsboige
Verify and test Jupyter notebooks with iterative fixing. Arguments: [target] [--quick] [--fix] [--python-only] [--dotnet-only]
alba-inertia
inertia-rails
Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the render inertia: { ... } pattern from other skills — use convention-based instance variable rendering instead.
voice-ai
ScientiaCapital
"Production voice AI agents with sub-500ms latency. Groq LLM, Deepgram STT, Cartesia TTS, Twilio integration. No OpenAI. Use when: voice agent, phone bot, STT, TTS, Deepgram, Cartesia, Twilio, voice AI, speech to text, IVR, call center, voice latency."
unsloth-training
ScientiaCapital
"Fine-tune LLMs with Unsloth using GRPO or SFT. Supports FP8, vision models, mobile deployment, Docker, packing, GGUF export. Use when: train with GRPO, fine-tune, reward functions, SFT training, FP8 training, vision fine-tuning, phone deployment, docker training, packing, export to GGUF."
woodpecker-cli
fred-drake
Reference for the Woodpecker CI command-line tool. Use when working with Woodpecker CI pipelines, managing repositories, secrets, registries, organizations, or users via the CLI. Covers pipeline operations (start, stop, approve, logs), repository management, secret/registry configuration, and local pipeline execution.
sales-revenue
ScientiaCapital
"B2B sales - cold outreach, lead scoring, pipeline metrics, MEDDIC/BANT qualification, discovery calls, and demos. Use when writing cold emails, scoring leads, running pipeline reviews, or preparing for sales calls."
groq-inference
ScientiaCapital
"Fast LLM inference with Groq API - chat, vision, audio STT/TTS, tool use. Use when: groq, fast inference, low latency, whisper, PlayAI TTS, Llama, vision API, tool calling, voice agents, real-time AI."