From agent-almanac
Creates R-based pictogram glyphs for skill, agent, or team icons in a neon-glow visualization layer using ggplot2. Guides concept sketching, layer composition, color strategy, registration, and build pipeline rendering.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agent-almanac:create-glyphThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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.
skill, agent, or teamcreate-glyph, mystic, r-package-review) and domain (for skills)--glow-sigma value (default: 4)Identify the entity being iconified and choose a visual metaphor.
skills/<id>/SKILL.mdagents/<id>.mdteams/<id>.mdComplexity 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 |
+----------+--------+-------------------------------------------+
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.
Write the R function that produces ggplot2 layers.
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
}
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
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 |
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 |
+----------------------+------------+--------------------------+
Return a flat list() of layers (the renderer iterates and wraps each with glow)
Place the function in the appropriate primitives file based on entity type:
primitives.R — bushcraft, compliance, containerization, data-serialization, defensiveprimitives_2.R — devops, general, git, mcp-integrationprimitives_3.R — mlops, observability, PM, r-packages, reporting, review, web-dev, esoteric, designprimitives_4.R through primitives_19.R for newer domainsviz/R/agent_primitives.Rviz/R/team_primitives.RExpected: 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)
Add the entity-to-glyph mapping in the appropriate glyph mapping file.
For skills:
viz/R/glyphs.R# -- design (3))"skill-id" = "glyph_function_name",
For agents:
viz/R/agent_glyphs.RAGENT_GLYPHS"agent-id" = "glyph_function_name",
For teams:
Open viz/R/team_glyphs.R
Find the alphabetical position in TEAM_GLYPHS
Add the entry:
"team-id" = "glyph_function_name",
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.
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.
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:
viz/public/icons/<palette>/<domain>/<skill-id>.webpviz/public/icons/<palette>/agents/<agent-id>.webpviz/public/icons/<palette>/teams/<team-id>.webpExpected: 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.Rinstall.packages(c("ggplot2", "ggforce", "ggfx", "ragg", "magick")) firstCheck the rendered output meets quality standards.
Verify file exists and has reasonable size:
ls -la viz/public/icons/cyberpunk/<type-path>/<entity-id>.webp
# Expected: 15-80 KB typical range
Open the WebP in an image viewer to check:
Check at small sizes (the icon renders at ~40-160px in the force graph):
Expected: A clear, recognizable pictogram with even neon glow on transparent background.
On failure:
--glow-sigma 2 (default is 4)--glow-sigma 8.lw(s, base) base value)Make adjustments and re-render.
Common adjustments:
.lw(s, base) — try base = 3.0 or 3.5s (e.g., 20 * s -> 24 * s)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
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).
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:
PALETTE_DOMAIN_ORDER (alphabetical)get_cyberpunk_colors() domains listbash viz/build.sh to regenerate palettes, data, and manifestsSee the full catalog of available glyph functions in the primitives source files:
viz/R/primitives.R through viz/R/primitives_19.R (domain-grouped)viz/R/agent_primitives.Rviz/R/team_primitives.R| 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 |
glyph_<name>(cx, cy, s, col, bright) -> list() signature* s scaling factorcol for fills, bright for outlines, hex_with_alpha() for transparency*_glyphs.R file"status": "pending""done" after successful render* s: Hard-coded pixel values break when scale changes. Always multiply by s.y values move UP.ggfx::with_outer_glow() to every layer. Do NOT add glow inside the glyph function.get_cyberpunk_colors() in palettes.R, rendering will error. Add the color first, then regenerate.primitives*.R, agents in agent_primitives.R, teams in team_primitives.R.npx claudepluginhub pjt222/agent-almanacAudits and improves R-based pictogram glyphs in the viz/ layer — diagnoses readability, proportions, and glow issues, modifies glyph functions, then re-renders with before/after comparison.
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