CEDA (Centre for Educational Data Analytics)
Official@cedanl
Doel van het CEDA (Center for Educational Data Analytics) is om door middel van co-creatie met het mbo, hbo en wo sneller van data naar inzichten te komen.
Agent Skills by CEDA (Centre for Educational Data Analytics)
Showing 15 vetted skills indexed across 1 GitHub repositories.
vormgever-npuls-huisstijl
Apply the Npuls visual identity to digital outputs with design tokens and HTML/CSS-ready assets.
write-issue-cowork
Format and post GitHub issues and pull requests for Cedanl repositories.
migrate-cookiecutter
Convert cookiecutter data science repositories to the CEDA package standard.
clidev
Automate branded Slidev presentation creation with automatic project setup.
simplify-ceda
Review R and Python code diffs against CEDA standards for reuse and quality.
release-notes
Draft Dutch release notes from merged PRs and closed issues.
write-issue
Create and maintain GitHub issues and PRs via gh CLI and GraphQL workflows.
r-package-refactor
Transform R scripts into structured packages with roxygen2 documentation and tests.
npuls-huisstijl
Centralize Npuls brand tokens, colors, typography, and assets for CEDA projects.
generate_slides_retro
Aggregate GitHub issues and PRs into a Slidev sprint review presentation.
sam-uren-cowork-mac
Automate weekly SAM hour entry via Control Chrome MCP.
init-repo
Scaffold a Cedanl repository with devcontainer templates for Python and R.
check-style
Check R or Python code against CEDA style standards.
ui-designer
Provide UX/UI design guidance for web app interfaces.
mkdocs-setup
Set up a MkDocs Material documentation site and configure GitHub Pages.
Frequently Asked Questions About CEDA (Centre for Educational Data Analytics)
FAQPage SchemaWhat specific tasks are enabled by these repository management skills?▼
These skills enable standardized project scaffolding, R package refactoring, and automated documentation generation. Users can enforce institutional style guides, manage GitHub issue lifecycles, and transform raw research code into structured, documented packages ready for collaborative educational data environments.
Which personas benefit most from these repository standards?▼
Data scientists, research engineers, and educational software developers working within the Npuls ecosystem benefit most. These resources are designed for technical teams needing to align disparate research projects with centralized branding, documentation, and code quality standards.
What are the prerequisites for implementing these project standards?▼
Implementation requires a GitHub-based environment and familiarity with R or standard data science project structures. Users should have existing access to the CEDA repository ecosystem to utilize the provided devcontainer templates, design tokens, and configuration files for MkDocs and Slidev.