Package advanced R/Shiny implementation patterns into reusable templates from commit history and tests.
npx skills add https://github.com/blankuzr/R-Skills --skill r-advanced
Please help me install this Agent Skill. Skill: r-advanced Source: https://github.com/blankuzr/R-Skills/tree/main/gpt/skills/r-advanced Command: npx skills add https://github.com/blankuzr/R-Skills --skill r-advanced
Advanced R and Shiny implementation patterns to turn recurring friction into reusable templates, grounded in commit history, tests, logs, and current package documentation.
Run scripts/r_repo_commit_scan.py <repo-path> to seed the evidence map and begin reusing patterns.
High-intent search queries and answers about installing and using this skill.
You can extract reusable Shiny patterns by scanning your repository's commit history, logs, and package documentation to identify recurring friction points and generalize them into a cohesive, registry-driven workbench template.
Building a deterministic registry for Shiny state management involves applying a registry-driven approach with helper scripts and tests, turning recurring data engineering and module testing friction into durable, reference-ready templates.
Packaging advanced R Shiny workflows into reusable components requires grounding implementation patterns in commit history and current package documentation, then applying them across model builders, data registries, and workflow guardrails.
Yes, you can use commit history to generate publication-ready outputs by seeding an evidence map that guides the creation of reference-ready templates and reusable reporting helpers across your analytic workflows.
Shiny apps need workflow guardrails to prevent recurring implementation friction, and you can implement them deterministically by applying a registry-driven pattern with helper scripts, references, and tests.
The r-advanced Skill operates with no external dependencies, relying solely on its internal scripts and references to package advanced R and Shiny implementation patterns into a reusable, registry-driven workbench.
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