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'.
The English summary is being prepared. Showing the original description.
Grounded brand decisions from a curated corpus — archetype, voice, naming, colour psychology, logo-style fit, messaging frameworks, archetype→type mapping. Use to ground brand strategy and identity.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
The grounded source for brand decisions — a second instance of the ADR-061 corpus-grounding layer (
corpus-grounding), afterdesign-intelligence. Branding is the layer that constrains UI: the corpus grounds brand strategy and identity decisions (archetype, voice, naming, colour, logo style, messaging, archetype→type filter) as a constraint set the human confirms — never the final brand. No forked engine; this plugs into the shared one via a manifest.
Corpus: 7 tabular CSVs under data/ — 12 brand archetypes, a
voice-and-tone matrix, naming patterns, color psychology by industry,
logo-style ↔ industry fit, messaging frameworks, and
typography-principles (archetype → pairing-filter Grounding, the layer that
upgrades typography-system stage-2).
Provenance: ATTRIBUTION.md; manifest:
data/manifest.json.
brand-strategy /
brand-identity commit to a direction — those
skills consult this corpus first.typography-system needs the brand-aware (archetype → pairing-filter)
upgrade — query the typography domain here.Ground or search (paths resolve skill-relative; works from any cwd):
node <skills-root>/corpus-grounding/scripts/ground.mjs search \
--manifest <skills-root>/brand/data/manifest.json \
"<brand brief: sector + intent + audience>" \
[--domain archetype|voice|naming|color|logo|messaging|typography] \
[--filter "Archetype Fit=Ruler"] [--json]
<skills-root> is ~/.claude/skills/ for Claude Code installs,
src/skills/ inside this repo.
Read confidence + every evidence_gap line before trusting any row —
surface them; the human signs off on what the corpus could NOT support.
Propose grounded options (archetype + voice + colour + logo + messaging), each cited per corpus row, with alternatives — the human confirms.
The confirmed selections become the brand token + voice constraint set
that brand-to-tokens, brand-source-of-truth § Iron Law 2, and pack-ai-image's brand-asset
generation consume.
confidence label + every evidence_gap line,
verbatim.Trademark Risk in
data/naming-patterns.csv rates the PATTERN, not the name on the table. A
candidate leaves with a check that was RUN — registry, date, result — or
with "not checked". The column alone reads as a clearance nobody performed.brand-source-of-truth).brand-source-of-truth § Iron Law 2
owns validation).archetype domain.corpus-grounding — the shared engine + manifest contract.brand-strategy / brand-identity — the workflow skills that consult this corpus.design-intelligence — sibling corpus instance (style); brand constrains style.typography-system — consumes the typography (archetype→filter) domain for its brand-aware stage-2.ATTRIBUTION.md — original-authored corpus
from public brand frameworks; shared engine attributed in
design-intelligence/ATTRIBUTION.md.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
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'.
The English summary is being prepared. Showing the original description.
Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
The English summary is being prepared. Showing the original description.
Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.