create-glyph
Acerca de
Esta habilidad crea iconos de pictogramas en R utilizando ggplot2 y una biblioteca de primitivas para visualizar entidades en un grafo de fuerzas. Maneja todo el flujo de trabajo desde la concepción y estrategia de color hasta el registro, renderizado en pipeline y verificación del resultado final con efecto de brillo neón. Úsela al agregar nuevas entidades, reemplazar iconos o crear glifos por lotes para un nuevo dominio.
Instalación rápida
Claude Code
Recomendadonpx 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/create-glyphCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
Create Glyph
R pictogram glyphs → skill/agent/team icons in viz/. Pure-ggplot2 fn on 100x100 → neon glow → transparent WebP.
Use When
- New skill/agent/team needs icon
- Existing glyph needs replace/redesign
- Batch-create for new domain
- Prototype visual metaphors
In
- Required: Type —
skill,agent,team - Required: Entity ID (
create-glyph,mystic,r-package-review) + domain (skills) - Required: Visual concept
- Optional: Reference glyph (complexity calibration)
- Optional: Custom
--glow-sigma(def: 4)
Do
Step 1: Concept
- Read entity source:
- Skills:
skills/<id>/SKILL.md - Agents:
agents/<id>.md - Teams:
teams/<id>.md
- Skills:
- Metaphor type:
- Literal: flask→experiment, shield→security
- Abstract: arrows→merge, spirals→iterate
- Composite: 2-3 simple shapes (doc + pen)
- Complexity ref:
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 |
+----------+--------+-------------------------------------------+
- Fn name:
glyph_<descriptive_name>(snake_case, unique)
Got: Mental sketch, 2-6 planned layers.
If err: Too abstract → concrete related. Check existing in same domain.
Step 2: Compose
Write R fn → ggplot2 layers.
-
Signature (immutable):
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
* sto ALL dims: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 -
Geometry 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), ...)Segments, arrows ggplot2::geom_rect(data, .aes(xmin, xmax, ymin, ymax), ...)Rects ggforce::geom_circle(data, .aes(x0, y0, r), ...)Circles -
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 flat
list()→ renderer wraps each w/ glow -
Place fn in right primitives file:
- Skills: domain-grouped across 19 files:
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.Rthroughprimitives_19.Rfor newer
- Agents:
viz/R/agent_primitives.R - Teams:
viz/R/team_primitives.R
- Skills: domain-grouped across 19 files:
Got: Working R fn → list of 2-6 layers.
If err: ggforce::geom_circle err → install ggforce. Coords off → canvas 100x100, (0,0) bottom-left. Test:
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 → glyph.
Skills:
- Open
viz/R/glyphs.R - Find domain section comment (
# -- design (3)) - Alphabetical in domain block:
"skill-id" = "glyph_function_name", - Update count comment if applicable
Agents:
- Open
viz/R/agent_glyphs.R - Alphabetical in
AGENT_GLYPHS:"agent-id" = "glyph_function_name",
Teams:
-
Open
viz/R/team_glyphs.R -
Alphabetical in
TEAM_GLYPHS:"team-id" = "glyph_function_name", -
Verify no dup ID
Got: *_GLYPHS list has new mapping.
If err: "No glyph mapped" → check ID exact match vs manifest + registry.
Step 4: Manifest
Register icon.
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"
}
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"
}
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"
}
Got: Valid JSON, entry among type siblings.
If err: Validate syntax. Common: trailing comma after last elem, missing quotes.
Step 5: Render
Run pipeline. Always build.sh → platform detect + R binary. See render-icon-pipeline.
# 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 = full pipeline (palette → data → manifest → render → terminal glyphs). Non-render steps +~10s but ensure current.
Out:
- 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
Got: Log OK: <entity> (seed=XXXXX, XX.XKB), WebP exists.
If err:
"No glyph mapped"— Step 3 missing / typo"Unknown domain"— Not inget_palette_colors()inpalettes.R- R pkg err —
install.packages(c("ggplot2", "ggforce", "ggfx", "ragg", "magick")) - Crash → test fn interactive (Step 2 fallback)
Step 6: Verify
-
Check file + size:
ls -la viz/public/icons/cyberpunk/<type-path>/<entity-id>.webp # Expected: 15-80 KB typical range -
Open WebP → check:
- Shape clear @ 1024x1024
- Neon glow present, not overpowering
- BG transparent (no rect)
- No edge clip
-
Small sizes (~40-160px in graph):
- Shape recognizable
- Detail ≠ noise
- Glow doesn't overwhelm
Got: Clear pictogram + even glow + transparent BG.
If err:
- Glow strong → re-render
--glow-sigma 2 - Glow weak →
--glow-sigma 8 - Unreadable small → simplify (fewer layers, bolder strokes,
.lw(s, base)higher) - Edge clip → reduce dims / shift center
Step 7: Iterate
-
Common adjustments:
- Bolder strokes:
.lw(s, base)→base = 3.0/3.5 - Visible fill: alpha 0.10 → 0.15-0.20
- Proportions: tweak
smultipliers (20 * s→24 * s) - Add/rm layers: 2-6 best
- Bolder strokes:
-
Re-render:
# 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 done → manifest status =
"done"(auto on success)
Got: Icon passes Step 6.
If err: 3+ iter fail → try diff metaphor (→ Step 1).
Reference
Domain + Entity Palettes
All 58 domain colors (skills) in viz/R/palettes.R (single truth). Agent/team colors same. Cyberpunk (hand-tuned neon) in get_cyberpunk_colors(). Viridis auto via viridisLite.
Lookup:
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
New domain → 3 places in palettes.R:
PALETTE_DOMAIN_ORDER(alphabetical)get_cyberpunk_colors()domains list- Run
bash viz/build.sh→ regen palettes + data + manifests
Glyph Fn Catalog
Full catalog in primitives source:
- Skills:
viz/R/primitives.R→viz/R/primitives_19.R(domain-grouped) - Agents:
viz/R/agent_primitives.R - Teams:
viz/R/team_primitives.R
Helpers
| Fn | Sig | Purpose |
|---|---|---|
.lw(s, base) | (scale, base=2.5) | Scale-aware line width |
.aes(...) | alias for ggplot2::aes | Shorthand aes map |
hex_with_alpha(hex, alpha) | (string, 0-1) | Alpha on hex |
brighten_hex(hex, factor) | (string, factor=1.3) | Brighten |
dim_hex(hex, factor) | (string, factor=0.4) | Dim |
Check
- Fn signature:
glyph_<name>(cx, cy, s, col, bright) -> list() - All dims
* s - Colors:
colfills,brightoutlines,hex_with_alpha()transparency - Fn in correct primitives file
- Mapping in right
*_glyphs.R - Manifest entry + correct path +
"status": "pending" - Build runs no err (dry-run first)
- WebP at expected path
- Size 15-80 KB
- Reads clear 1024px + ~40px
- Transparent BG
- Status →
"done"post-render
Traps
- Forgot
* s: Hard-coded px breaks on scale. Multiply bysalways. - Canvas origin: (0,0) bottom-left. Higher
y= UP. - Double glow: Renderer applies
ggfx::with_outer_glow(). Do NOT add in fn. - Too many layers: Each gets glow wrap. >8 = slow + noisy.
- ID mismatch: Glyph map + manifest + registry must match exact.
- JSON trailing commas: Strict JSON. No trailing comma.
- Missing domain color: Not in
get_cyberpunk_colors()→ render err. Add color first. - Wrong primitives file: Skills →
primitives*.R, agents →agent_primitives.R, teams →team_primitives.R.
→
- enhance-glyph — improve quality / fix / add layers
- audit-icon-pipeline — detect missing
- render-icon-pipeline — full pipeline E2E
- ornament-style-mono — AI img gen alt
- ornament-style-color — color theory
- create-skill — parent workflow triggering glyph
Repositorio GitHub
Habilidades relacionadas
content-collections
MetaEsta habilidad proporciona una configuración probada en producción para Content Collections, una herramienta centrada en TypeScript que transforma archivos Markdown/MDX en colecciones de datos con tipado seguro mediante validación Zod. Úsala al construir blogs, sitios de documentación o aplicaciones Vite + React con mucho contenido para garantizar seguridad de tipos y validación automática de contenido. Abarca todo, desde la configuración del plugin de Vite y compilación MDX hasta la optimización de despliegue y validación de esquemas.
polymarket
MetaEsta habilidad permite a los desarrolladores crear aplicaciones con la plataforma de mercados de predicción Polymarket, incluyendo la integración de API para operaciones y datos de mercado. También proporciona transmisión de datos en tiempo real a través de WebSocket para monitorear operaciones en vivo y actividad del mercado. Úsela para implementar estrategias de trading o crear herramientas que procesen actualizaciones de mercado en tiempo real.
creating-opencode-plugins
MetaEsta habilidad ayuda a los desarrolladores a crear complementos de OpenCode que se conectan a más de 25 tipos de eventos, como comandos, archivos y operaciones LSP. Proporciona la estructura del complemento, las especificaciones de la API de eventos y los patrones de implementación para módulos en JavaScript/TypeScript. Úsala cuando necesites interceptar, monitorear o extender el ciclo de vida del asistente de IA de OpenCode con lógica personalizada basada en eventos.
sglang
MetaSGLang es un framework de alto rendimiento para el servicio de LLM que se especializa en generación rápida y estructurada para JSON, expresiones regulares y flujos de trabajo de agentes utilizando su caché de prefijos RadixAttention. Ofrece una inferencia significativamente más rápida, especialmente para tareas con prefijos repetidos, lo que lo hace ideal para salidas complejas y estructuradas, y conversaciones multiturno. Elige SGLang sobre alternativas como vLLM cuando necesites decodificación restringida o estés construyendo aplicaciones con uso extensivo de prefijos compartidos.
