GitHub
db-migration-reviewer
Review Drizzle ORM migrations for MySQL. Checks for potential data loss, performance issues, missing indexes, and schema alignment. Use when reviewing changes in the drizzle/ directory or schema.ts files.
Skills IA DevOps
Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Catégories: DevOps
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GitHub
n8n-integrator
Design and integrate n8n workflows with the Studio-535 ecosystem. Focuses on automation best practices, error handling, and secure API communication. Use when working with workflow JSON files or planning automa...
GitHub
deployment-checker
Verify all requirements before production deployment. Comprehensive checklist covering environment variables, database migrations, security, performance, monitoring, and payment configuration.
GitHub
trpc-auditor
Audit tRPC procedures for security, validation, and architectural consistency. Ensures procedures follow the service-layer pattern and have proper Zod input validation. Use when reviewing server-side routers an...
GitHub
security-auditor
Scan for OWASP Top 10 vulnerabilities and security best practices. Checks for SQL injection, XSS, authentication issues, sensitive data exposure, and other common security risks.
GitHub
amp-handoff
Hands off the current Claude Code session to Amp. Use when asked to hand off to Amp, continue in Amp, or transfer work to Amp.
GitHub
diversion
Diversion (dv) cloud-native version control. When Claude needs to help with source control operations using Diversion including: initializing repositories, cloning, committing changes, branching, merging, viewi...
GitHub
bugs-fundamentals
Foundational knowledge for writing BUGS/JAGS models including precision parameterization, declarative syntax, distributions, and R integration. Use when creating or reviewing BUGS/JAGS models.
GitHub
multiplicity-methods
Multiple testing procedures reference for clinical trials. Use when selecting or implementing multiplicity adjustments, gatekeeping procedures, or graphical approaches.
GitHub
time-series-models
Bayesian time series models including AR, MA, ARMA, state-space models, and dynamic linear models in Stan and JAGS.
GitHub
simtrial-fundamentals
Core simtrial package functions for time-to-event clinical trial simulation. Use when generating survival data, performing weighted logrank tests, or running TTE simulations.
GitHub
clinical-trial-design-patterns
Common clinical trial design patterns including multi-arm, multi-endpoint, adaptive, and stratified designs. Use when selecting or implementing trial designs.
GitHub
maic-methodology
Deep methodology knowledge for MAIC including assumptions, weight diagnostics, ESS interpretation, and anchored vs unanchored decisions. Use when conducting or reviewing MAIC analyses.
GitHub
power-optimization-patterns
Direct and tradeoff-based optimization strategies for clinical trial design. Use when optimizing sample size, selecting design parameters, or performing sensitivity analysis.
GitHub
stan-fundamentals
Foundational knowledge for writing Stan 2.37 models including program structure, type system, distributions, and best practices. Use when creating or reviewing Stan models.
GitHub
time-to-event-methods
Survival analysis methods including weighted logrank, MaxCombo, RMST, and milestone tests. Use when analyzing TTE data or choosing analysis methods for non-proportional hazards.
GitHub
nma-methodology
Deep methodology knowledge for network meta-analysis including transitivity, consistency assessment, treatment rankings, and model selection. Use when conducting or reviewing NMA.
GitHub
hierarchical-models
Patterns for hierarchical/multilevel Bayesian models including random effects, partial pooling, and centered vs non-centered parameterizations.
GitHub
model-diagnostics
MCMC diagnostics for Bayesian models including convergence assessment, effective sample size, divergences, and posterior predictive checks.
GitHub
tidy-itc-workflow
Master tidy modelling patterns for ITC analyses following TMwR principles. Covers workflow structure, consistent interfaces, reproducibility best practices, and data validation. Use when setting up ITC analysis...
GitHub
meta-analysis
Bayesian meta-analysis models including fixed effects, random effects, and network meta-analysis with Stan and JAGS implementations.
GitHub
survival-models
Bayesian survival analysis models including exponential, Weibull, log-normal, and piecewise exponential hazard models with censoring support.
GitHub
ml-nmr-methodology
Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and prediction to target populations. Use when conducting or reviewing ML-NMR analyses.
GitHub
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.