generate-puzzle
About
This skill generates jigsaw puzzle SVGs and ggplot2 visualizations via `generate_puzzle()` or `geom_puzzle_*()` functions. It supports multiple puzzle types (rectangular, hexagonal, voronoi, etc.) with configurable parameters like grid, size, and seed, validating them against a config file. Use it for creating puzzle files, testing configurations, or generating samples for demos and documentation.
Quick Install
Claude Code
Recommendednpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/generate-puzzleCopy and paste this command in Claude Code to install this skill
Documentation
Generate Puzzle
Generate jigsaw puzzles using the jigsawR package's unified API.
When to Use
- Creating puzzle SVG files for a specific type and configuration
- Testing puzzle generation with different parameters
- Generating sample output for documentation or demos
- Creating ggplot2 puzzle visualizations with geom_puzzle_*()
Inputs
- Required: Puzzle type (
"rectangular","hexagonal","concentric","voronoi","random","snic") - Required: Grid dimensions (type-dependent:
c(cols, rows)orc(rings)) - Optional: Size in mm (default varies by type)
- Optional: Seed for reproducibility (default: 42)
- Optional: Offset (0 = interlocked, >0 = separated pieces)
- Optional: Layout (
"grid"or"repel"for rectangular) - Optional: Fusion groups (PILES notation string)
Procedure
Step 1: Read Config Constraints
R_EXE="/mnt/c/Program Files/R/R-4.5.0/bin/Rscript.exe"
"$R_EXE" -e "cat(yaml::yaml.load_file('inst/config.yml')[['{TYPE}']]$grid$max)"
Or read inst/config.yml directly to check valid ranges for the chosen type.
Got: The min/max values for grid, size, tabsize, and other parameters are known for the chosen puzzle type.
If fail: If config.yml is missing or the type key doesn't exist, check that you are in the jigsawR project root and the package has been built at least once.
Step 2: Determine Type and Parameters
Map the user's request to valid generate_puzzle() arguments:
| Type | grid | size | Extra params |
|---|---|---|---|
| rectangular | c(cols, rows) | c(width, height) mm | offset, layout, tabsize |
| hexagonal | c(rings) | c(diameter) mm | do_warp, do_trunc, tabsize |
| concentric | c(rings) | c(diameter) mm | center_shape, tabsize |
| voronoi | c(cols, rows) | c(width, height) mm | n_interior, tabsize |
| random | c(cols, rows) | c(width, height) mm | n_interior, tabsize |
| snic | c(cols, rows) | c(width, height) mm | n_interior, compactness, tabsize |
Got: User request mapped to valid generate_puzzle() arguments with correct type, grid dimensions, and size values within the ranges from config.yml.
If fail: If unsure which parameter format to use, refer to the table above. Rectangular and voronoi types use c(cols, rows) for grid; hexagonal and concentric use c(rings).
Step 3: Create R Script
Write a script file (preferred over -e for complex commands):
library(jigsawR)
result <- generate_puzzle(
type = "rectangular",
seed = 42,
grid = c(3, 4),
size = c(400, 300),
offset = 0,
layout = "grid"
)
cat("Pieces:", length(result$pieces), "\n")
cat("SVG length:", nchar(result$svg_content), "\n")
cat("Files:", paste(result$files, collapse = ", "), "\n")
Save to a temporary script file.
Got: An R script file saved to a temporary location containing library(jigsawR), a generate_puzzle() call with all parameters, and diagnostic output lines.
If fail: If the script has syntax errors, verify that all string arguments are quoted and numeric vectors use c(). Avoid complex shell escaping by always using script files.
Step 4: Execute via WSL R
R_EXE="/mnt/c/Program Files/R/R-4.5.0/bin/Rscript.exe"
"$R_EXE" /path/to/script.R
Got: Script completes without errors. SVG file(s) written to output/.
If fail: Check that renv is restored (renv::restore()). Verify package is loaded (devtools::load_all()). Do NOT use --vanilla flag (renv needs .Rprofile).
Step 5: Verify Output
- SVG file exists in
output/directory - SVG content starts with
<?xmlor<svg - Piece count matches expected: cols * rows (rectangular), ring formula (hex/concentric)
- For ggplot2 approach, verify the plot object renders without error
Got: SVG file exists in output/, content starts with <?xml or <svg, and piece count matches the grid specification (cols * rows for rectangular, ring formula for hex/concentric).
If fail: If SVG file is missing, check the output/ directory exists. If piece count is wrong, verify grid dimensions match the puzzle type's expected formula. For ggplot2 output, check that the plot renders without error by wrapping in tryCatch().
Step 6: Save Output
Generated files are saved to output/ by default. The result object contains:
$svg_content— raw SVG string$pieces— list of piece data$canvas_size— dimensions$files— paths to written files
Got: The result object contains $svg_content, $pieces, $canvas_size, and $files fields. Files listed in $files exist on disk.
If fail: If $files is empty, the puzzle may have generated in-memory only. Explicitly save with writeLines(result$svg_content, "output/puzzle.svg").
Validation
- Script executes without errors
- SVG file is well-formed XML
- Piece count matches grid specification
- Same seed produces identical output (reproducibility)
- Parameters are within config.yml constraints
Pitfalls
- Using
--vanillaflag: Breaks renv activation. Never use it. - Complex
-ecommands: Use script files instead; shell escaping causes Exit code 5. - Grid vs size confusion: Grid is piece count, size is physical dimensions in mm.
- Offset semantics: 0 = assembled puzzle, positive = exploded/separated pieces.
- SNIC without package: snic type requires the
snicpackage installed.
Related Skills
add-puzzle-type— scaffold a new puzzle type end-to-endvalidate-piles-notation— validate fusion group strings before passing to generate_puzzle()run-puzzle-tests— run the test suite after generation changeswrite-testthat-tests— add tests for new generation scenarios
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MetaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
