ML Ops

bayesian-modeling

by YuukiAS

Bayesian and statistical modeling workflows with PyMC, diagnostics, simulation, and model reporting.

tech-research-pipeline

by tomwangowa

Orchestrates a full technical research workflow by chaining specialized skills in sequence: brainstorming → tech-feasibility → assumption-extractor → micro-poc-validator → critical-research → narrative-auditor → research-cross-validator → research-synthesis. Use when evaluating a technology choice, planning a migration, or making any significant technical decision that warrants rigorous multi-angle analysis. Triggered by "full research pipeline", "rigorous tech evaluation", "research pipeline", or "evaluate [tech] thoroughly".

XState v5 Expert Skill

by boneskull

Expert guidance for implementing and analyzing XState v5 state machines with TypeScript support and best practices

statsmodels

by YuukiAS

Implement and review statsmodels analyses: OLS/GLM/mixed models, time series, robust covariance, diagnostics, coefficient tables, and reproducible inference workflows.

content-modeling-best-practices

by display-design-studio

Structured content modeling principles with Sanity-specific guidance. Use when designing or reviewing content schemas, document types, field structures, or content architecture — including decisions around references vs embedding, content reuse, taxonomy, page builders, multi-channel delivery, or refactoring existing schemas. Trigger when the user mentions schema design, content model, document types, content structure, headless CMS architecture, or asks how to model any content type.

phylogenetics

by YuukiAS

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

marginaleffects

by vincentarelbundock

Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal inference with G-computation, or need help with marginaleffects functions like predictions(), comparisons(), slopes(), hypotheses(), datagrid(), avg_predictions(), avg_comparisons(), avg_slopes(), or plot functions.

pymc

by YuukiAS

Bayesian modeling with PyMC: model specification, priors, NUTS/VI fitting, diagnostics, posterior predictive checks, LOO/WAIC comparison, prediction, and code review.

Google ADK Python Skill

by zircote

Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.

Art

by b1rdmania

AI image generation tool. Use when you need to generate reference images, illustrations, or visual content from text prompts.

terradev-gpu-cloud

by theoddden

Cross-cloud GPU provisioning, K8s cluster creation, and inference overflow. Get real-time pricing across 11+ cloud providers, provision the cheapest GPUs in seconds, spin up production K8s clusters, and burst to cloud when your local GPU maxes out. BYOAPI — your keys never leave your machine.

next-action-grader

by pmark

Grade one proposed next action and its done-condition against fixed criteria, as a judge separate from the generator that proposed it. Use when deciding whether a clarified next action is actionable; returns pass, or fail with exactly one information request.

agent-creation

by joabgonzalez

"Standards-compliant agent definitions with templates. Trigger: When creating agent definitions, setting up project agents, or documenting workflows."

skill-sync

by joabgonzalez

"Synchronization across model directories. Trigger: After creating or modifying skills, agents, or prompts to sync across directories."

faion-ai-agents

by faionfaion

"AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP."

ai-sdk-6-skills

by gocallum

AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.

faion-ml-ops

by faionfaion

"ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability."

Business Model Frameworks

by ThepExcel

genai-services

by acedergren

Use when implementing OCI GenAI inference APIs, troubleshooting rate limits or token errors, optimizing GenAI costs, or handling sensitive data (PHI/PII) in prompts. Covers model selection, cost calculations, token management, response validation, and healthcare/compliance considerations.

grepai-embeddings-ollama

by yoanbernabeu

Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.

convert-fsharp-elm

by aRustyDev

Convert F# code to idiomatic Elm. Use when migrating F# projects to Elm, translating backend F# to frontend Elm, refactoring .NET backends with Elm frontends, or exploring functional patterns across backend and frontend domains. Extends meta-convert-dev with F#-to-Elm specific patterns.

skool-money-model-strategist

by DaronVee

Applies Alex Hormozi's $100M Money Models frameworks to design, evaluate, and improve Skool community monetization strategies. Uses CAC-based stage diagnosis (5 stages), 30-day cash maximization formulas, and sequential implementation to create actionable roadmaps grounded in Hormozi's 15 money model mechanisms and Skool's 5 business models (Free, Subscription, Freemium, Tiers, One-Time). Helps Skool community owners identify which mechanisms to implement, validate money models against Hormozi principles, and create step-by-step Skool setup instructions for maximum revenue per customer in 30 days.

convert-elm-erlang

by aRustyDev

Bidirectional conversion between Elm and Erlang. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Erlang specific patterns.

convert-clojure-roc

by aRustyDev

Bidirectional conversion between Clojure and Roc. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Clojure↔Roc specific patterns. Use when migrating Clojure applications to Roc's platform model, translating dynamic functional code to static functional style, or refactoring REPL-driven code to compile-time verified patterns. Extends meta-convert-dev with Clojure-to-Roc specific patterns.