MLOps

Operacions d’aprenentatge automàtic

Skills: 1345–1368 de 2110
tomwangowa

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".

Àmbit acadèmic 2 fa 8 mesos
boneskull

XState v5 Expert Skill

boneskull

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

MLOps 2 fa 11 mesos
YuukiAS

statsmodels

YuukiAS

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

Àmbit jurídic 2 fa 2 mesos
display-design-studio

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.

MLOps 2 fa 8 mesos
YuukiAS

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.

Analítica 2 fa 2 mesos
vincentarelbundock

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.

Processament de dades 26 fa 8 mesos
YuukiAS

pymc

YuukiAS

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

Processament de dades 2 fa 2 mesos
zircote

Google ADK Python Skill

zircote

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

Agents 25 fa 10 mesos
b1rdmania

Art

b1rdmania

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

Docker 25 fa 8 mesos
theoddden

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.

Eines de línia d’ordres 25 fa 7 mesos
joabgonzalez

agent-creation

joabgonzalez

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

Agents 9 fa 8 mesos
joabgonzalez

skill-sync

joabgonzalez

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

Eines de línia d’ordres 9 fa 8 mesos
faionfaion

faion-ai-agents

faionfaion

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

Agents 4 fa 8 mesos
gocallum

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.

MLOps 23 fa 9 mesos
faionfaion

faion-ml-ops

faionfaion

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

MLOps 4 fa 8 mesos
ThepExcel

Business Model Frameworks

ThepExcel

Generació de codi 22 fa 8 mesos
acedergren

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.

Desenvolupament d’API 22 fa 8 mesos
yoanbernabeu

grepai-embeddings-ollama

yoanbernabeu

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

Desenvolupament d’API 21 fa 9 mesos
aRustyDev

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.

Depuració 8 fa 8 mesos
DaronVee

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.

Finances 8 fa 11 mesos
aRustyDev

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.

Processament de dades 8 fa 8 mesos
aRustyDev

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.

Depuració 8 fa 8 mesos
aRustyDev

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.

Automatització 8 fa 8 mesos
aRustyDev

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.

Depuració 8 fa 8 mesos