claudeindex
choxos's avatar
Author

Ahmad Sofi-Mahmudi

@choxos
6
Marketplaces
8
Plugins
81
Skills
60
Agents
36
Commands

Marketplaces

Marketplace

r-package-agent

Comprehensive R package development agent with 7 specialized agents, 6 workflow commands, and 12 methodology skills covering package creation, testing, documentation, pkgdown websites, and CRAN/Bioconductor submission

Plugins:1
Skills:12
0
0
Marketplace

mathviz-agent

Production-quality Manim animation agent for creating 3Blue1Brown-style mathematical visualizations with 6 specialized agents, 4 workflow commands, and 6 methodology skills

Plugins:1
Skills:6
0
0
Marketplace

itc-modelling-agents

Expert ITC agents for indirect treatment comparison modelling in R with 7 specialized agents, 6 methodology skills, and 2 workflow orchestrators following NICE DSU guidance

Plugins:1
Skills:6
0
0
Marketplace

bayesian-modeling-agent

Claude agent ecosystem for creating and reviewing Bayesian model specification files supporting Stan (cmdstanr), PyMC (Python), JAGS (R2jags), and WinBUGS (R2WinBUGS)

Plugins:1
Skills:0
0
0
Marketplace

r-tidy-modelling

Comprehensive R data science and biostatistics agents for tidy modelling workflows with 10 specialized agents, 12 methodology skills, and 7 workflow orchestrators following TMwR and tidyverse best practices

Plugins:1
Skills:12
3
1
Marketplace

biostat-agent

Comprehensive biostatistics agent ecosystem for R with 30 specialized agents, 17 workflow commands, and 45 methodology skills covering Bayesian modeling, indirect treatment comparisons, tidy R workflows, and clinical trial simulations

Plugins:4
Skills:45
0
0

Plugins

Plugin

r-package-development

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

Plugin

mathviz

Create, review, and render production-quality mathematical animations using Manim Community Edition

Plugin

itc-modelling

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

Plugin

r-tidy-modelling

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

Plugin

bayesian-modeling

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

Plugin

itc-modeling

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

Plugin

r-tidy-modeling

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

Plugin

clinical-trial-simulation

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

Skills

Skill

package-structure

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

r-code-patterns

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

roxygen2-documentation

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

testing-patterns

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

data-in-packages

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

dependencies

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

pkgdown-website

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

github-actions

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

cran-submission

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

bioconductor-submission

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

licensing

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

hex-logo

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Skill

tidymodels-review-patterns

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

meta-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

network-meta-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

ipd-meta-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

diagnostic-accuracy

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

causal-mediation

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

mendelian-randomization

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

pharmacokinetics

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

health-economics

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

real-world-evidence

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

advanced-adaptive-trials

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

manim-fundamentals

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

camera-techniques

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

animation-patterns

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

math-typography

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

production-quality

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

component-design

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Skill

tidy-itc-workflow

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

pairwise-ma-methodology

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

nma-methodology

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

maic-methodology

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

stc-methodology

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

ml-nmr-methodology

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Skill

tidymodels-workflow

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

recipes-patterns

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

resampling-strategies

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

model-tuning

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

model-evaluation

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

epidemiology-methods

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

survival-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

bayesian-modeling

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

clinical-trials

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

genomics-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

r-documentation-patterns

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

roxygen2-pkgdown

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Skill

stan-fundamentals

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

pymc-fundamentals

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

bugs-fundamentals

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

hierarchical-models

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

regression-models

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

time-series-models

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

survival-models

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

model-diagnostics

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

meta-analysis

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From biostat-agent/bayesian-modeling
Skill

pairwise-ma-methodology

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

tidy-itc-workflow

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

nma-methodology

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

maic-methodology

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

stc-methodology

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

ml-nmr-methodology

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Skill

tidymodels-workflow

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

recipes-patterns

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

resampling-strategies

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

model-tuning

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

model-evaluation

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

survival-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

clinical-trials

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

bayesian-modeling

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

epidemiology-methods

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

genomics-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

r-documentation-patterns

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

roxygen2-pkgdown

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Skill

simtrial-fundamentals

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

mediana-fundamentals

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

multiplicity-methods

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

time-to-event-methods

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

group-sequential-methods

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

power-optimization-patterns

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Skill

clinical-trial-design-patterns

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation

Agents

Agent

package-architect.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

scaffold-engineer.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

code-engineer.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

test-engineer.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

docs-engineer.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

check-doctor.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

release-manager.md

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Agent

viz-architect.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

scene-designer.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

animation-specialist.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

math-renderer.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

camera-specialist.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

code-reviewer.md

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Agent

itc-architect.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

pairwise-meta-analyst.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

nma-specialist.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

maic-specialist.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

stc-specialist.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

ml-nmr-specialist.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

itc-code-reviewer.md

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Agent

r-data-architect.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

tidymodels-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

feature-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

viz-specialist.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

data-wrangler.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

biostatistician.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

r-docs-architect.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

r-code-reviewer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

reporting-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

r-tutorial-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Agent

model-architect.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

stan-specialist.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

pymc-specialist.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

bugs-specialist.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

model-reviewer.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

test-runner.md

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Agent

itc-architect.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

pairwise-meta-analyst.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

nma-specialist.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

maic-specialist.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

stc-specialist.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

ml-nmr-specialist.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

itc-code-reviewer.md

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Agent

r-data-architect.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

tidymodels-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

feature-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

biostatistician.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

data-wrangler.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

viz-specialist.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

reporting-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

r-docs-architect.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

r-tutorial-engineer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

r-code-reviewer.md

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Agent

simulation-architect.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

tte-specialist.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

cse-specialist.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

multiplicity-expert.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

gs-design-specialist.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

power-optimizer.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Agent

code-reviewer.md

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation

Commands

Command

create-package

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

add-function

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

add-data

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

setup-website

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

run-check

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

prepare-release

Create, test, document, and release production-quality R packages with pkgdown websites and CI/CD pipelines

From r-package-agent/r-package-development
Command

create-scene

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Command

create-video

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Command

render-preview

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Command

review-animation

Create, review, and render production-quality mathematical animations using Manim Community Edition

From mathviz-agent/mathviz
Command

itc-analysis

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Command

itc-review

Expert agents for indirect treatment comparison modelling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modelling practices

From itc-modelling-agents/itc-modelling
Command

r-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-code-review

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-model-comparison

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-clinical-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-project-setup

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-doc-generate

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

r-tutorial-create

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels. All agents create new code in output folders - never modifying existing user code.

From r-tidy-modelling/r-tidy-modelling
Command

create-model

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Command

review-model

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Command

run-diagnostics

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS

From bayesian-modeling-agent/bayesian-modeling
Command

itc-analysis

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Command

itc-review

Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices

From biostat-agent/itc-modeling
Command

r-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-code-review

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-model-comparison

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-clinical-analysis

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-project-setup

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-doc-generate

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

r-tutorial-create

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

From biostat-agent/r-tidy-modeling
Command

power-analysis

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Command

sample-size

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Command

gs-design

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Command

multiplicity-optimization

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation
Command

cse-analysis

Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization

From biostat-agent/clinical-trial-simulation