IMPACT Initiatives
Official@impact-initiatives · Geneva, Switzerland
A leading think-and-do-tank supporting humanitarian action. Initiatives include REACH and Agora.
Agent Skills by IMPACT Initiatives
Showing 16 vetted skills indexed across 1 GitHub repositories.
r-oop
Guide R OOP system selection and implementation for classes and method dispatch.
r-bayes
Fit brms multilevel Bayesian models with DAG-based causal assumption checks.
tidyverse-patterns
Rewrite tidyverse R code using modern dplyr, purrr, and stringr patterns.
rlang-patterns
Write R tidy-eval functions using injection operators and data-masking patterns.
r-style-guide
Standardize R code with snake_case naming, tidyverse-style piping, and cli::cli_abort error handling.
r-performance
Profile R code with profvis and benchmark optimizations with bench::mark.
r-package-development
Plan R package dependencies, API structure, validation, and documentation.
tdd-workflow
Enforce a test-driven development workflow for R code using testthat.
ui-ux-pro-max
Generate UI/UX design-system recommendations via BM25 search over CSV datasets.
svelte-code-writer
Retrieve Svelte documentation and autofix Svelte component code issues.
Web Interface Guidelines
Review web UI source files for Vercel Web Interface Guidelines compliance.
svelte-d3
Separate D3 geometry from Svelte 5 DOM rendering in SVG chart components.
svelteplot
Compose SveltePlot grammar-of-graphics charts with marks, scales, and transforms for Svelte 5.
using-tidyjs
Enforce correct tidy() pipeline structure and function taxonomy for @tidyjs/tidy code.
frontend-design
Design production-grade frontend interfaces with cohesive CSS and UI patterns.
svelte-core-bestpractices
Guides developers in applying Svelte 5 rune usage and component patterns for code reviews and rewrites.
Frequently Asked Questions About IMPACT Initiatives
FAQPage SchemaWhat specific technical tasks are enabled by these R and Svelte capabilities?▼
These capabilities enable rigorous statistical analysis using Bayesian multilevel models, standardized R package development, and the construction of high-performance web interfaces. Users can perform complex data transformations, enforce strict code style guidelines, and build reactive data visualizations using Svelte 5 and D3.
Which personas benefit most from these technical resources?▼
Data scientists, statistical researchers, and frontend engineers working on humanitarian data platforms benefit most. These resources are designed for professionals needing to bridge the gap between complex statistical modeling in R and modern, reactive web interface development using Svelte.
What are the primary dependencies for implementing these technical patterns?▼
Implementation requires a standard R environment with the tidyverse ecosystem, brms for Bayesian modeling, and testthat for validation. Frontend development requires a Svelte 5 environment, D3 for geometry rendering, and adherence to established web interface guidelines for component structure.