create-glyph

name	create-glyph
description	Create R-based pictogram glyphs for skill, agent, or team icons in the visualization layer. Covers concept sketching, ggplot2 layer composition using the primitives library, color strategy, registration in the appropriate glyph mapping file and manifest, rendering via the build pipeline, and visual verification of the neon-glow output. Use when a new entity has been added and needs a visual icon for the force-graph visualization, an existing glyph needs replacement, or when batch-creating glyphs for a new domain.
license	MIT
allowed-tools	Read Write Edit Bash Grep Glob
metadata	{"author":"Philipp Thoss","version":"2.0","domain":"design","complexity":"intermediate","language":"R","tags":"design, glyph, pictogram, icon, ggplot2, visualization, neon"}

Create Glyph

Create R-based pictogram glyphs for skill, agent, or team icons in the viz/ visualization layer. Each glyph is a pure-ggplot2 function that draws a recognizable shape on a 100x100 canvas, rendered with a neon glow effect to transparent-background WebP.

When to Use

• A new skill, agent, or team has been added and needs a visual icon
• An existing glyph needs replacement or redesign
• Batch-creating glyphs for a new domain of skills
• Prototyping visual metaphors for entity concepts

Inputs

• Required: Entity type — skill, agent, or team
• Required: Entity ID (e.g., create-glyph, mystic, r-package-review) and domain (for skills)
• Required: Visual concept — what the glyph should depict
• Optional: Reference glyph to study for complexity level
• Optional: Custom --glow-sigma value (default: 4)

Procedure

Step 1: Concept — Design the Visual Metaphor

Identify the entity being iconified and choose a visual metaphor.

1. Read the entity's source file to understand its core concept:
   • Skills: skills/<id>/SKILL.md
   • Agents: agents/<id>.md
   • Teams: teams/<id>.md
2. Choose a metaphor type:
   • Literal object: a flask for experiments, a shield for security
   • Abstract symbol: arrows for merging, spirals for iteration
   • Composite: combine 2-3 simple shapes (e.g., document + pen)
3. Reference existing glyphs for complexity calibration:

Complexity Tiers:
+----------+--------+-------------------------------------------+
| Tier     | Layers | Examples                                  |
+----------+--------+-------------------------------------------+
| Simple   | 2      | glyph_flame, glyph_heartbeat              |
| Moderate | 3-5    | glyph_document, glyph_experiment_flask    |
| Complex  | 6+     | glyph_ship_wheel, glyph_bridge_cpp        |
+----------+--------+-------------------------------------------+

4. Decide on a function name: glyph_<descriptive_name> (snake_case, unique)

Expected: A clear mental sketch of the shape with 2-6 planned layers.

On failure: If the concept is too abstract, fall back to a related concrete object. Review existing glyphs in the same domain for inspiration.

Step 2: Compose — Write the Glyph Function

Write the R function that produces ggplot2 layers.

1. Function signature (immutable contract):

   glyph_<name> <- function(cx, cy, s, col, bright) {
     # cx, cy = center coordinates (50, 50 on 100x100 canvas)
     # s = scale factor (1.0 = fill ~70% of canvas)
     # col = domain color hex (e.g., "#ff88dd" for design)
     # bright = brightened variant of col (auto-computed by renderer)
     # Returns: list() of ggplot2 layers
   }
   

2. Apply scale factor * s to ALL dimensions for consistent scaling:

   r <- 20 * s        # radius
   hw <- 15 * s       # half-width
   lw <- .lw(s)       # line width (default base 2.5)
   lw_thin <- .lw(s, 1.2)  # thinner line width
   

3. Build geometry using available primitives:

   Geometry	Usage
   ggplot2::geom_polygon(data, .aes(x, y), ...)	Filled shapes
   ggplot2::geom_path(data, .aes(x, y), ...)	Open lines/curves
   ggplot2::geom_segment(data, .aes(x, xend, y, yend), ...)	Line segments, arrows
   ggplot2::geom_rect(data, .aes(xmin, xmax, ymin, ymax), ...)	Rectangles
   ggforce::geom_circle(data, .aes(x0, y0, r), ...)	Circles

4. Apply the color strategy:

   Alpha Guide:
   +----------------------+------------+--------------------------+
   | Purpose              | Alpha      | Example                  |
   +----------------------+------------+--------------------------+
   | Large fill (body)    | 0.08-0.15  | hex_with_alpha(col, 0.1) |
   | Medium fill (accent) | 0.15-0.25  | hex_with_alpha(col, 0.2) |
   | Small fill (detail)  | 0.25-0.35  | hex_with_alpha(bright, 0.3) |
   | Outline stroke       | 1.0        | color = bright           |
   | Secondary stroke     | 1.0        | color = col              |
   | No fill              | ---        | fill = NA                |
   +----------------------+------------+--------------------------+
   

5. Return a flat list() of layers (the renderer iterates and wraps each with glow)

6. Place the function in the appropriate primitives file based on entity type:

   • Skills: domain-grouped across 19 primitives files:
     • primitives.R — bushcraft, compliance, containerization, data-serialization, defensive
     • primitives_2.R — devops, general, git, mcp-integration
     • primitives_3.R — mlops, observability, PM, r-packages, reporting, review, web-dev, esoteric, design
     • Additional primitives_4.R through primitives_19.R for newer domains
   • Agents: viz/R/agent_primitives.R
   • Teams: viz/R/team_primitives.R

Expected: A working R function that returns a list of 2-6 ggplot2 layers.

On failure: If ggforce::geom_circle causes errors, ensure ggforce is installed. If coordinates are off, remember the canvas is 100x100 with (0,0) at bottom-left. Test the function interactively:

source("viz/R/utils.R"); source("viz/R/primitives.R")  # etc.
layers <- glyph_<name>(50, 50, 1.0, "#ff88dd", "#ffa8f0")
p <- ggplot2::ggplot() + ggplot2::coord_fixed(xlim=c(0,100), ylim=c(0,100)) +
     ggplot2::theme_void()
for (l in layers) p <- p + l
print(p)

Step 3: Register — Map Entity to Glyph

Add the entity-to-glyph mapping in the appropriate glyph mapping file.

For skills:

1. Open viz/R/glyphs.R
2. Find the comment section for the target domain (e.g., # -- design (3))
3. Add the entry in alphabetical order within the domain block:

   "skill-id" = "glyph_function_name",
   

4. Update the domain count in the comment if applicable

For agents:

1. Open viz/R/agent_glyphs.R
2. Find the alphabetical position in AGENT_GLYPHS
3. Add the entry:

   "agent-id" = "glyph_function_name",
   

For teams:

1. Open viz/R/team_glyphs.R

2. Find the alphabetical position in TEAM_GLYPHS

3. Add the entry:

   "team-id" = "glyph_function_name",
   

4. Verify no duplicate ID exists in the target list

Expected: The appropriate *_GLYPHS list contains the new mapping.

On failure: If the build later reports "No glyph mapped", double-check that the entity ID exactly matches the one in the manifest and registry.

Step 4: Manifest — Add Icon Entry

Register the icon in the appropriate manifest file.

For skills: viz/data/icon-manifest.json

{
  "skillId": "skill-id",
  "domain": "domain-name",
  "prompt": "<domain basePrompt>, <descriptors>, dark background, vector art",
  "seed": <next_seed>,
  "path": "public/icons/cyberpunk/<domain>/<skill-id>.webp",
  "status": "pending"
}

For agents: viz/data/agent-icon-manifest.json

{
  "agentId": "agent-id",
  "prompt": "<agent-specific descriptors>, dark background, vector art",
  "seed": <next_seed>,
  "path": "public/icons/cyberpunk/agents/<agent-id>.webp",
  "status": "pending"
}

For teams: viz/data/team-icon-manifest.json

{
  "teamId": "team-id",
  "prompt": "<team-specific descriptors>, dark background, vector art",
  "seed": <next_seed>,
  "path": "public/icons/cyberpunk/teams/<team-id>.webp",
  "status": "pending"
}

Expected: Valid JSON with the new entry placed among its type siblings.

On failure: Validate JSON syntax. Common mistakes: trailing comma after last array element, missing quotes.

Step 5: Render — Generate the Icon

Run the icon pipeline to render the new glyph. Always use build.sh as the entry point — it handles platform detection and R binary selection. See render-icon-pipeline for the full flag reference and pipeline architecture.

# From project root — renders all palettes, standard + HD, skips existing icons
bash viz/build.sh --only <domain> --skip-existing          # skills
bash viz/build.sh --type agent --only <id> --skip-existing # agents
bash viz/build.sh --type team --only <id> --skip-existing  # teams

# Dry run first:
bash viz/build.sh --only <domain> --dry-run

build.sh runs the full pipeline (palette → data → manifest → render → terminal glyphs). The non-render steps add ~10 seconds but ensure all data is current.

Output locations:

• Skills: viz/public/icons/<palette>/<domain>/<skill-id>.webp
• Agents: viz/public/icons/<palette>/agents/<agent-id>.webp
• Teams: viz/public/icons/<palette>/teams/<team-id>.webp

Expected: The log shows OK: <entity> (seed=XXXXX, XX.XKB) and the WebP file exists.

On failure:

• "No glyph mapped" — Step 3 mapping is missing or has a typo
• "Unknown domain" — Domain not in get_palette_colors() in palettes.R
• R package errors — Run install.packages(c("ggplot2", "ggforce", "ggfx", "ragg", "magick")) first
• If rendering crashes, test the glyph function interactively (see Step 2 fallback)

Step 6: Verify — Visual Inspection

Check the rendered output meets quality standards.

1. Verify file exists and has reasonable size:

   ls -la viz/public/icons/cyberpunk/<type-path>/<entity-id>.webp
   # Expected: 15-80 KB typical range
   

2. Open the WebP in an image viewer to check:

   • Shape reads clearly at full size (1024x1024)
   • Neon glow is present but not overpowering
   • Background is transparent (no black/white rectangle)
   • No clipping at canvas edges

3. Check at small sizes (the icon renders at ~40-160px in the force graph):

   • Shape remains recognizable
   • Detail doesn't turn to noise
   • Glow doesn't overwhelm the shape

Expected: A clear, recognizable pictogram with even neon glow on transparent background.

On failure:

• Glow too strong: re-render with --glow-sigma 2 (default is 4)
• Glow too weak: re-render with --glow-sigma 8
• Shape unreadable at small sizes: simplify the glyph (fewer layers, bolder strokes, increase .lw(s, base) base value)
• Clipping at edges: reduce shape dimensions or shift center

Step 7: Iterate — Refine if Needed

Make adjustments and re-render.

1. Common adjustments:

   • Bolder strokes: increase .lw(s, base) — try base = 3.0 or 3.5
   • More visible fill: increase alpha from 0.10 to 0.15-0.20
   • Shape proportions: adjust multipliers on s (e.g., 20 * s -> 24 * s)
   • Add/remove detail layers: keep total layers between 2-6 for best results

2. To re-render after changes:

   # Delete the existing icon first, then re-render
   rm viz/public/icons/cyberpunk/<type-path>/<entity-id>.webp
   # Use the appropriate build command from Step 5
   

3. When satisfied, verify the manifest status shows "done" (the build script updates it automatically on success)

Expected: The final icon passes all verification checks from Step 6.

On failure: If after 3+ iterations the glyph still doesn't read well, consider using a completely different visual metaphor (return to Step 1).

Reference

Domain and Entity Color Palettes

All domain colors (for skills) are defined in viz/R/palettes.R (the single source of truth). Agent and team colors are also managed in palettes.R. The cyberpunk palette (hand-tuned neon colors) is in get_cyberpunk_colors(). Viridis-family palettes are auto-generated via viridisLite.

To look up a color:

source("viz/R/palettes.R")
get_palette_colors("cyberpunk")$domains[["design"]]   # skill domain
get_palette_colors("cyberpunk")$agents[["mystic"]]     # agent
get_palette_colors("cyberpunk")$teams[["tending"]]     # team

When adding a new domain, add it to three places in palettes.R:

1. PALETTE_DOMAIN_ORDER (alphabetical)
2. get_cyberpunk_colors() domains list
3. Run bash viz/build.sh to regenerate palettes, data, and manifests

Glyph Function Catalog

See the full catalog of available glyph functions in the primitives source files:

• Skills: viz/R/primitives.R through viz/R/primitives_19.R (domain-grouped)
• Agents: viz/R/agent_primitives.R
• Teams: viz/R/team_primitives.R

Helper Functions

Function	Signature	Purpose
.lw(s, base)	(scale, base=2.5)	Scale-aware line width
.aes(...)	alias for ggplot2::aes	Shorthand aesthetic mapping
hex_with_alpha(hex, alpha)	(string, 0-1)	Add alpha to hex color
brighten_hex(hex, factor)	(string, factor=1.3)	Brighten a hex color
dim_hex(hex, factor)	(string, factor=0.4)	Dim a hex color

Validation Checklist

• Glyph function follows glyph_<name>(cx, cy, s, col, bright) -> list() signature
• All dimensions use * s scaling factor
• Color strategy uses col for fills, bright for outlines, hex_with_alpha() for transparency
• Function placed in correct primitives file for entity type and domain
• Glyph mapping entry added in the appropriate *_glyphs.R file
• Manifest entry added with correct entity ID, path, and "status": "pending"
• Build command runs without error (dry-run first)
• Rendered WebP exists at the expected path
• File size in expected range (15-80 KB)
• Icon reads clearly at both 1024px and ~40px display sizes
• Transparent background (no solid rectangle behind the glyph)
• Manifest status updated to "done" after successful render

Common Pitfalls

• Forgetting * s: Hard-coded pixel values break when scale changes. Always multiply by s.
• Canvas origin confusion: (0,0) is bottom-left, not top-left. Higher y values move UP.
• Double glow: The renderer already applies ggfx::with_outer_glow() to every layer. Do NOT add glow inside the glyph function.
• Too many layers: Each layer gets individual glow wrapping. More than 8 layers makes rendering slow and visually noisy.
• Mismatched IDs: The entity ID in the glyph mapping, manifest, and registry must all match exactly.
• JSON trailing commas: The manifest is strict JSON. No trailing comma after the last array element.
• Missing domain color: If the domain isn't in get_cyberpunk_colors() in palettes.R, rendering will error. Add the color first, then regenerate.
• Wrong primitives file: Skills go in domain-grouped primitives*.R, agents in agent_primitives.R, teams in team_primitives.R.

Related Skills

• enhance-glyph — improve an existing glyph's visual quality, fix rendering issues, or add detail layers
• audit-icon-pipeline — detect missing glyphs and icons to know what needs creating
• render-icon-pipeline — run the full rendering pipeline end-to-end
• ornament-style-mono — complementary AI-based image generation (Z-Image vs R-coded glyphs)
• ornament-style-color — color theory applicable to glyph accent fill decisions
• create-skill — the parent workflow that triggers glyph creation when adding new skills