メニュー
Use when code loads or uses ellmer (library(ellmer), chat_openai, chat_claude, chat_ollama), chatting with LLMs from R, building chatbots, or extracting structured data from text with LLMs
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when code loads or uses duckspatial (library(duckspatial), duckspatial::), performing spatial joins or areal interpolation on large vector datasets in R, or needing faster spatial operations than sf
Use when creating, editing, or validating R package skills (library(pkg), pkg::), or gathering R package documentation (CRAN, pkgdown, vignettes) to generate a skill
Use when code loads or uses btw (library(btw), btw::), providing R session context to LLMs, registering tools for ellmer chat, or copying R object descriptions to clipboard
Use when code loads or uses collapse (library(collapse), collapse::), performing fast grouped or weighted statistics in R, or seeking faster alternatives to dplyr aggregation
Use when code loads or uses mapgl (library(mapgl), mapgl::), calls maplibre()/mapboxgl()/add_*_layer()/maplibre_proxy(), builds interactive WebGL maps in R, displays PMTiles on a map, or creates story maps / scrollytelling in R Shiny
Use when code loads ellmer, btw, mcptools, ragnar, or vitals, building LLM-powered R applications, implementing RAG workflows, or choosing between R AI packages (meta-skill for ellmer/btw/mcptools/ragnar/vitals)
| name | r-ellmer |
| description | Use when code loads or uses ellmer (library(ellmer), chat_openai, chat_claude, chat_ollama), chatting with LLMs from R, building chatbots, or extracting structured data from text with LLMs |
ellmer is the hub of the R AI stack. Provides unified interface to 20+ LLM providers (OpenAI, Claude, Ollama, etc.) with stateful chat sessions, tool calling, and token tracking.
Install: install.packages("ellmer")
API keys: Set OPENAI_API_KEY or ANTHROPIC_API_KEY in .Renviron
Read references/API.md before writing code.
references/API.md - Complete function referencereferences/getting-started.md - Core workflow and chat patternsreferences/tool-calling.md - Tool registration and function calling# Create chat
chat <- chat_openai(model = "gpt-4o")
chat <- chat_claude(model = "claude-sonnet-4")
chat <- chat_ollama(model = "llama3.2") # Local
# Chat (stateful - history preserved)
chat$chat("Explain this error")
chat$chat("How do I fix it?") # Remembers context
# Fresh conversation
chat <- chat_openai() # New = no history
# Track costs
token_usage()
# Tool calling
chat$set_tools(btw_tools()) # See r-btw skill
| Issue | Solution |
|---|---|
| Forgot API key | Set in .Renviron, restart R |
| Ollama connection error | Run ollama serve first |
| Conversation too long/expensive | Start fresh chat for new topics |
| Expecting accuracy | LLMs for prototyping, not critical work |
| Using chat for single request | Just use httr2 for one-off calls |
Custom chatbots: Preload with documentation, package info, educational materials
Structured data extraction: Sentiment analysis, geocoding, recipe parsing, document indexing
Programming assistance: Code modernization, documentation lookup, explanation, security analysis
Other: Alt text generation, statistical reasoning, brand style guide enforcement
See references/ for:
With btw (context tools): See r-btw skill With ragnar (RAG): See r-ragnar skill With vitals (evaluation): See r-vitals skill Cross-package patterns: See r-ai meta-skill