Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Generate an image from a brief — provider-agnostic blueprint then provider-specific translation, with ref-image/seed reuse for consistency. Use when generating/creating an image.
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Review the instructions the agent will receive before you install.
Generate an image end-to-end: capture the brief, route to the right provider, author
a provider-specific prompt, reuse seeds for consistency, invoke the adapter, and apply
governance. All adapters are scaffold-tier (dry-run) until promoted to stable.
image-provider-routing —
match job shape (text-in-image → Ideogram, photoreal → Flux, vector → Recraft,
general → Gemini/GPT Image 2).prompt-engineering-image —
apply provider-specific grammar (text-literal first for Ideogram, noun-phrase for Flux,
style: param for Recraft, natural language for Gemini/GPT).node_modules/@event4u/agent-config/src/scripts/ai-image/adapters/<provider>.sh
with the assembled params. Validate the returned artifact path or dry-run confirmation.
All adapters are experimental (scaffold-tier); no live generation occurs until a
maintainer promotes the adapter via provider-lifecycle-discipline.image-likeness-and-rights) when the
brief names a real person, brand mark, or living artist's style. Attach the AI-disclosure
footer per media-governance-routing before delivering the output.provider-lifecycle-discipline."ideogram.sh,
flux.sh, recraft.sh, gemini-image.sh) are scaffold-tier (dry-run only). This
skill produces the blueprint + dry-run confirmation; actual renders require a maintainer
to capture a smoke trace and promote the adapter to stable. Claiming a rendered asset
exists when no adapter is stable misleads the caller.Good example: Brief for a product-shot series → route to Flux (photoreal), author
noun-phrase prompt, carry seed: 42 across all five renders, invoke adapter, note
"experimental — dry-run plan only."
Bad example: Invoking the adapter and telling the user "here is your rendered image" while all adapters are still scaffold-tier.
image-likeness-and-rights when the brief names a real person, a brand
mark, or a named living artist's style.image-provider-routing — selecting the wrong provider for the job
shape (e.g. Flux for a text-in-image logo) produces garbled output.image-provider-routing — select the right provider before writing the prompt.prompt-engineering-image — translate the brief into provider-specific prompt grammar.image-likeness-and-rights — rights check before generating real-person likenesses or brand marks.provider-lifecycle-discipline — lifecycle tier gates; read before any adapter invocation.No reviews yet. Tell others what you thought.
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Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
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Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
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Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
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Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
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