generate-workflow-diagram
À propos
Cette compétence génère des diagrammes de flux Mermaid thématisés à partir de données de flux de travail `putior`. Elle propose plusieurs thèmes, formats de sortie et fonctionnalités interactives pour une intégration dans la documentation. Utilisez-la pour visualiser des flux de travail après avoir annoté les fichiers sources ou lorsque vous devez mettre à jour des diagrammes pour différents publics.
Installation rapide
Claude Code
Recommandénpx 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-workflow-diagramCopiez et collez cette commande dans Claude Code pour installer cette compétence
Documentation
Generate Workflow Diagram
Make themed Mermaid flowchart diagram from putior workflow data. Embed in docs.
When Use
- After annotating source files, ready to make visual diagram
- Regenerate diagram after workflow changes
- Switch themes or output formats for different audiences
- Embed workflow diagrams in README, Quarto, R Markdown docs
Inputs
- Required: Workflow data from
put(),put_auto(), orput_merge() - Optional: Theme name (default:
"light"; options: light, dark, auto, minimal, github, viridis, magma, plasma, cividis) - Optional: Output target: console, file path, clipboard, raw string
- Optional: Interactive features:
show_source_info,enable_clicks
Steps
Step 1: Extract Workflow Data
Get workflow data from one of three sources.
library(putior)
# From manual annotations
workflow <- put("./src/")
# From manual annotations, excluding specific files
workflow <- put("./src/", exclude = c("build-workflow\\.R$", "test_"))
# From auto-detection only
workflow <- put_auto("./src/")
# From merged (manual + auto)
workflow <- put_merge("./src/", merge_strategy = "supplement")
Workflow data frame may include node_type column from annotations. Node types control Mermaid shapes:
node_type | Mermaid Shape | Use Case |
|---|---|---|
"input" | Stadium ([...]) | Data sources, configuration files |
"output" | Subroutine [[...]] | Generated artifacts, reports |
"process" | Rectangle [...] | Processing steps (default) |
"decision" | Diamond {...} | Conditional logic, branching |
"start" / "end" | Stadium ([...]) | Entry/terminal nodes |
Each node_type also gets CSS class (class nodeId input;) for theme-based styling.
Got: Data frame with at least one row, has id, label, optionally input, output, source_file, node_type columns.
If fail: Data frame empty? No annotations or patterns found. Run analyze-codebase-workflow first, or check annotations syntactically valid with put("./src/", validate = TRUE).
Step 2: Pick Theme + Options
Pick theme for target audience.
# List all available themes
get_diagram_themes()
# Standard themes
# "light" — Default, bright colors
# "dark" — For dark mode environments
# "auto" — GitHub-adaptive with solid colors
# "minimal" — Grayscale, print-friendly
# "github" — Optimized for GitHub README files
# Colorblind-safe themes (viridis family)
# "viridis" — Purple→Blue→Green→Yellow, general accessibility
# "magma" — Purple→Red→Yellow, high contrast for print
# "plasma" — Purple→Pink→Orange→Yellow, presentations
# "cividis" — Blue→Gray→Yellow, maximum accessibility (no red-green)
Additional parameters:
direction: Diagram flow direction —"TD"(top-down, default),"LR"(left-right),"RL","BT"show_artifacts:TRUE/FALSE— show artifact nodes (files, data); noisy for large workflows (16+ extra nodes)show_workflow_boundaries:TRUE/FALSE— wrap each source file nodes in Mermaid subgraphsource_info_style: How source file info displayed on nodes (subtitle)node_labels: Format for node label text
Got: Theme names printed. Pick one by context.
If fail: Theme name not recognized? put_diagram() falls back to "light". Check spelling.
Step 3: Custom Palette with put_theme() (Optional)
9 built-in themes don't match project palette? Make custom theme with put_theme().
# Create custom palette — unspecified types inherit from base theme
cyberpunk <- put_theme(
base = "dark",
input = c(fill = "#1a1a2e", stroke = "#00ff88", color = "#00ff88"),
process = c(fill = "#16213e", stroke = "#44ddff", color = "#44ddff"),
output = c(fill = "#0f3460", stroke = "#ff3366", color = "#ff3366"),
decision = c(fill = "#1a1a2e", stroke = "#ffaa33", color = "#ffaa33")
)
# Use the palette parameter (overrides theme when provided)
mermaid_content <- put_diagram(workflow, palette = cyberpunk, output = "raw")
writeLines(mermaid_content, "workflow.mmd")
put_theme() takes input, process, output, decision, artifact, start, end node types. Each takes named vector c(fill = "#hex", stroke = "#hex", color = "#hex"). Unset types inherit from base theme.
Got: Mermaid output with custom classDef lines. Node shapes from node_type preserved; only colors change. All node types use stroke-width:2px — override not supported via put_theme().
If fail: Palette object not putior_theme class? put_diagram() raises descriptive error. Pass return value of put_theme(), not raw list.
Fallback — manual classDef replacement: Fine-grained control beyond put_theme() (per-type stroke widths)? Generate with base theme + replace classDef lines manually:
mermaid_content <- put_diagram(workflow, theme = "dark", output = "raw")
lines <- strsplit(mermaid_content, "\n")[[1]]
lines <- lines[!grepl("^\\s*classDef ", lines)]
custom_defs <- c(" classDef input fill:#1a1a2e,stroke:#00ff88,stroke-width:3px,color:#00ff88")
mermaid_content <- paste(c(lines, custom_defs), collapse = "\n")
Step 4: Generate Mermaid Output
Make diagram in desired output mode.
# Print to console (default)
cat(put_diagram(workflow, theme = "github"))
# Save to file
writeLines(put_diagram(workflow, theme = "github"), "docs/workflow.md")
# Get raw string for embedding
mermaid_code <- put_diagram(workflow, output = "raw", theme = "github")
# With source file info (shows which file each node comes from)
cat(put_diagram(workflow, theme = "github", show_source_info = TRUE))
# With clickable nodes (for VS Code, RStudio, or file:// protocol)
cat(put_diagram(workflow,
theme = "github",
enable_clicks = TRUE,
click_protocol = "vscode" # or "rstudio", "file"
))
# Full-featured
cat(put_diagram(workflow,
theme = "viridis",
show_source_info = TRUE,
enable_clicks = TRUE,
click_protocol = "vscode"
))
Got: Valid Mermaid code starts with flowchart TD (or LR by direction). Nodes connected by arrows showing data flow.
If fail: Output is flowchart TD with no nodes? Workflow data frame empty. Connections missing? Check output filenames match input filenames across nodes.
Step 5: Embed in Target Document
Insert diagram into appropriate docs format.
GitHub README (```mermaid code fence):
## Workflow
```mermaid
flowchart TD
A["Extract Data"] --> B["Transform"]
B --> C["Load"]
```
Quarto document (native mermaid chunk via knit_child):
# Chunk 1: Generate code (visible, foldable)
workflow <- put("./src/")
mermaid_code <- put_diagram(workflow, output = "raw", theme = "github")
# Chunk 2: Output as native mermaid chunk (hidden)
#| output: asis
#| echo: false
mermaid_chunk <- paste0("```{mermaid}\n", mermaid_code, "\n```")
cat(knitr::knit_child(text = mermaid_chunk, quiet = TRUE))
R Markdown (with mermaid.js CDN or DiagrammeR):
DiagrammeR::mermaid(put_diagram(workflow, output = "raw"))
Got: Diagram renders correct in target format. GitHub renders mermaid code fences native.
If fail: GitHub won't render diagram? Code fence must use exactly ```mermaid (no extra attributes). Quarto → use knit_child() approach since direct variable interpolation in {mermaid} chunks not supported.
Checks
-
put_diagram()produces valid Mermaid code (starts withflowchart) - All expected nodes appear in diagram
- Data flow connections (arrows) present between connected nodes
- Selected theme applied (check init block in output for theme-specific colors)
- Diagram renders correct in target format (GitHub, Quarto)
Pitfalls
- Empty diagrams: Usually
put()returned no rows. Check annotations exist + syntactically valid. - All nodes disconnected: Output filenames must exactly match input filenames (including extension) for putior to draw connections.
data.csv+Data.csvare different. - Theme not visible on GitHub: GitHub mermaid renderer has limited theme support.
"github"theme designed for GitHub.%%{init:...}%%theme block may be ignored by some renderers. - Quarto mermaid variable interpolation: Quarto
{mermaid}chunks don't support R variables direct. Useknit_child()from Step 5. - Clickable nodes not working: Click directives need renderer supporting Mermaid interaction events. GitHub static renderer no click support. Use local Mermaid renderer or putior Shiny sandbox.
- Self-referential meta-pipeline files: Scanning directory including build script generating diagram → duplicate subgraph IDs + Mermaid errors. Use
excludeparameter:workflow <- put("./src/", exclude = c("build-workflow\\.R$", "build-workflow\\.js$")) show_artifacts = TRUEtoo noisy: Large projects generate many artifact nodes (10–20+), clutter diagram. Useshow_artifacts = FALSE+ rely onnode_typeannotations to mark key inputs/outputs explicit.
See Also
annotate-source-files— prerequisite: files annotated before diagram generationanalyze-codebase-workflow— auto-detection supplements manual annotationssetup-putior-ci— automate diagram regeneration in CI/CDcreate-quarto-report— embed diagrams in Quarto reportsbuild-pkgdown-site— embed diagrams in pkgdown docs sites
Dépôt GitHub
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