Research Data Laboratory avatar

Research Data Laboratory

Official

@nq-rdl · Australia

0Followers
|
24Public Repos
|
78Published Skills

Research Data Laboratory Repositories

Skills Distribution
DomainDeveloper To...Data Engineering &.. (40%)Software Developme.. (30%)Technical Document.. (30%)

Agent Skills by Research Data Laboratory

Showing 78 vetted skills indexed across 2 GitHub repositories.

nq-rdlnq-rdl

speckit-checklist

Generate language-agnostic checklists validating written feature requirements.

Official
Advanced
nq-rdlnq-rdl

speckit-git-remote

Extract GitHub owner, repository name, and origin status from Git remote URLs.

Official
Intermediate
nq-rdlnq-rdl

speckit-git-validate

Validate active Git branch names against sequential and timestamp patterns.

Official
Intermediate
nq-rdlnq-rdl

speckit-git-initialize

Initialize a Git repository and create an initial commit in the current project.

Official
Intermediate
nq-rdlnq-rdl

speckit-constitution

Derive and apply project principles to update the living constitution.

Official
Advanced
nq-rdlnq-rdl

speckit-implement

Executes task-plan-driven workflows from a tasks.md file across defined phases.

Official
Advanced
nq-rdlnq-rdl

speckit-taskstoissues

Convert task lists into dependency-ordered GitHub issues from design artifacts.

Official
Intermediate
nq-rdlnq-rdl

speckit-clarify

Generate targeted clarification questions and update feature specifications with answers.

Official
Advanced
nq-rdlnq-rdl

speckit-plan

Generate design artifacts from an IMPL_PLAN template with extension hooks.

Official
Advanced
nq-rdlnq-rdl

speckit-git-feature

Generate and check out a Git feature branch with deterministic naming.

Official
Intermediate
nq-rdlnq-rdl

speckit-analyze

Analyze spec.md, plan.md, and tasks.md for inconsistencies and coverage gaps.

Official
Advanced
nq-rdlnq-rdl

speckit-git-commit

Automate git add and commit after Spec Kit commands via git-config.yml.

Official
Intermediate
nq-rdlnq-rdl

speckit-specify

Convert natural language feature descriptions into formal specifications with acceptance criteria.

Official
Advanced
nq-rdlnq-rdl

speckit-tasks

Convert design artifacts into a dependency-ordered tasks.md with setup, foundational, and user-story phases.

Official
Advanced
nq-rdlnq-rdl

zod

Validate runtime data and infer TypeScript types with Zod schemas.

Official
Intermediate
nq-rdlnq-rdl

quarto-authoring

Author and migrate Quarto content across documents, books, and websites.

Official
Intermediate
nq-rdlnq-rdl

defuddle

Extract clean Markdown from web pages using Defuddle CLI.

Official
Intermediate
nq-rdlnq-rdl

writerside

Standardize semantic markup and quality checks for Markdown and XML documentation.

Official
Advanced
nq-rdlnq-rdl

pi-rpc

Provide a ConnectRPC HTTP/JSON service to manage pi.dev coding agent sessions.

Official
Advanced
nq-rdlnq-rdl

argo-cd

Manage ArgoCD configurations and health checks via the argocd CLI.

Official
Intermediate
nq-rdlnq-rdl

lefthook

Manage git hooks with declarative YAML and parallel execution.

Official
Advanced
nq-rdlnq-rdl

obsidian-markdown

Create and edit Obsidian-flavored Markdown notes with wikilinks, embeds, callouts, and frontmatter.

Official
Intermediate
nq-rdlnq-rdl

dispatch

Route tasks to appropriate backends for execution with progress tracking.

Official
Advanced
nq-rdlnq-rdl

r-lib-cran-extrachecks

Validate R package documentation, licensing, and URLs for CRAN submission.

Official
Advanced

Frequently Asked Questions About Research Data Laboratory

FAQPage Schema
What specific tasks can I perform with these repositories?

You can perform R package validation, DuckDB-based data querying, structured Markdown documentation authoring, and Git repository management. These capabilities enable standardized project initialization, dependency-ordered task planning, and automated file format conversion across various data types including CSV, XLSX, and PDF.

Which technical personas benefit most from these resources?

Data scientists, R package maintainers, and software engineers focused on reproducible research and documentation quality will find these resources most beneficial. The collection is specifically designed for those managing complex data pipelines, technical specifications, and rigorous testing environments.

What are the prerequisites for using these project configurations?

Most configurations require a standard Unix-like environment with Git, R, and DuckDB installed. Specific project management relies on Pixi for environment isolation and standard YAML-based configuration files for defining hooks, task plans, and documentation schemas.