event4u-app/agent-config/src/skills/brand-asset-generation/SKILL.md
Generate brand assets — banners, social cards, CIP elements — with brand-token injection + provider routing. Use when generating a banner / social image / branded asset.
Decision brief
Generate brand assets (banner, social card, CIP element) via structured prompting, brand-token injection, and provider routing. Rides on the existing pack-ai-image adapters — not a second image-gen stack.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/event4u-app/agent-config --skill "src/skills/brand-asset-generation"Inspect the Agent Skill "brand-asset-generation" from https://github.com/event4u-app/agent-config/blob/0adf49a8ae84b0ff6e2de8759eea43257e020eff/src/skills/brand-asset-generation/SKILL.md at commit 0adf49a8ae84b0ff6e2de8759eea43257e020eff. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Identify asset type and spec — determine format (banner, social card, CIP element), output dimensions (e.g. 1200×630 for Open Graph, 1080×1080 for square social), and target channel (web, print, social platform). 2. Inject brand tokens when present — if pack-brand is installe…
User asks to generate a banner, social card, header image, or CIP (corporate identity) element.
1. Asset spec — type, dimensions, channel, and routing rationale (which provider and why). 2. Prompt — final provider-specific prompt string with injected brand tokens (or brief-derived palette/type if no tokens). Include key params: aspect ratio, style keywords, negative prompt…
Without a brand token layer the output is generic — feed the brief's exact palette
Do NOT invent brand colors or voice — use tokens from .tokens.json or explicit values
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 94/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 7 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Generate brand assets (banner, social card, CIP element) via structured prompting, brand-token injection, and provider routing. Rides on the existing pack-ai-image adapters — not a second image-gen stack.
pack-brand is installed, load .tokens.json
(colors, typography, voice). Feed hex values, font names, and tone keywords directly
into the prompt. Without tokens, derive palette and type from the brief itself;
raw generation works — output is brief-driven, not token-driven.image-provider-routing (text-in-image →
Ideogram, photoreal product shot → Flux, etc.). Author the provider-specific prompt
with the asset spec, injected tokens, and any negative constraints.image-likeness-and-rights
if the asset depicts a real person or brand mark. Attach the AI-generation disclosure
footer per media-governance-routing before delivering output.provider-lifecycle-discipline."pack-brand
(Phase B of the brand pipeline) eliminate this gap; until that pack ships, rely on
brief-supplied values.pack-brand (Phase B) — this skill consumes tokens; it does
not author them. If .tokens.json is absent, proceed brief-driven and note the gap.experimental.
This skill produces a blueprint and dry-run confirmation; actual renders require a
maintainer to capture a smoke trace and promote the adapter to stable..tokens.json or explicit values
from the brief. Guessing palette values produces off-brand output.media-governance-routing, regardless of how generic the output appears.logo-generation — logo-specific generation with vector and mark constraints.image-generation — general-purpose image generation end-to-end.image-provider-routing — select the right provider before writing the prompt.image-likeness-and-rights — rights check before generating real-person likenesses or brand marks.Alternatives
event4u-app/agent-config
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