MLOps
Operacions d’aprenentatge automàtic
tech-research-pipeline
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
boneskull
Expert guidance for implementing and analyzing XState v5 state machines with TypeScript support and best practices
statsmodels
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
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
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
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
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
zircote
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
Art
b1rdmania
AI image generation tool. Use when you need to generate reference images, illustrations, or visual content from text prompts.
terradev-gpu-cloud
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.
agent-creation
joabgonzalez
"Standards-compliant agent definitions with templates. Trigger: When creating agent definitions, setting up project agents, or documenting workflows."
skill-sync
joabgonzalez
"Synchronization across model directories. Trigger: After creating or modifying skills, agents, or prompts to sync across directories."
faion-ai-agents
faionfaion
"AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP."
ai-sdk-6-skills
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
faionfaion
"ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability."
Business Model Frameworks
ThepExcel
genai-services
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
yoanbernabeu
Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.
convert-fsharp-elm
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
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
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
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.
convert-elm-roc
aRustyDev
Bidirectional conversion between Elm and Roc. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Roc specific patterns. Use when migrating Elm frontend code to Roc applications, translating browser-based Elm to platform-agnostic Roc, or refactoring Elm web applications to Roc CLI/native tools. Extends meta-convert-dev with Elm-to-Roc specific patterns.
convert-elm-fsharp
aRustyDev
Bidirectional conversion between Elm and Fsharp. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Fsharp specific patterns.