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.
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部署与运维 AI 技能
发现 部署与运维 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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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...
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GitHub
deployment-checker
Verify all requirements before production deployment. Comprehensive checklist covering environment variables, database migrations, security, performance, monitoring, and payment configuration.
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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...
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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.
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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.
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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...
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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.
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GitHub
multiplicity-methods
Multiple testing procedures reference for clinical trials. Use when selecting or implementing multiplicity adjustments, gatekeeping procedures, or graphical approaches.
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GitHub
time-series-models
Bayesian time series models including AR, MA, ARMA, state-space models, and dynamic linear models in Stan and JAGS.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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GitHub
hierarchical-models
Patterns for hierarchical/multilevel Bayesian models including random effects, partial pooling, and centered vs non-centered parameterizations.
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GitHub
model-diagnostics
MCMC diagnostics for Bayesian models including convergence assessment, effective sample size, divergences, and posterior predictive checks.
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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...
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GitHub
meta-analysis
Bayesian meta-analysis models including fixed effects, random effects, and network meta-analysis with Stan and JAGS implementations.
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GitHub
survival-models
Bayesian survival analysis models including exponential, Weibull, log-normal, and piecewise exponential hazard models with censoring support.
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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.
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GitHub
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。