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.
Scanned 9/2/2026
Install to Claude Code
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---
model_tier: inherit
name: brand
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."
domain: engineering
personas:
- brand-strategist
workspaces:
- engineering
packs:
- brand
trust:
level: professional
install:
removable: true
scope:
write: []
verification_reason: "execution declares no handler, so this skill runs nothing of its own — every write is the calling agent's, under the rules that govern it. No command can prove a scope the skill never executes."
execution:
type: manual
---
# brand
> The grounded source for brand decisions — a **second instance of the
> ADR-061 corpus-grounding layer** ([`corpus-grounding`](../corpus-grounding/SKILL.md)),
> after [`design-intelligence`](../design-intelligence/SKILL.md). 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/`](data/) — 12 brand `archetype`s, 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`](../typography-system/SKILL.md) stage-2).
Provenance: [`ATTRIBUTION.md`](ATTRIBUTION.md); manifest:
[`data/manifest.json`](data/manifest.json).
## When to use
- A brand decision needs grounding: which archetype fits, what voice/tone,
how to name, which colour direction, which logo style, which messaging
framework, or which type pairing-filter an archetype implies.
- Before [`brand-strategy`](../brand-strategy/SKILL.md) /
[`brand-identity`](../brand-identity/SKILL.md) commit to a direction — those
skills consult this corpus first.
- When `typography-system` needs the brand-aware (archetype → pairing-filter)
upgrade — query the `typography` domain here.
## Procedure: consult the brand corpus
1. **Ground or search** (paths resolve skill-relative; works from any cwd):
```bash
./scripts-run <skills-root>/corpus-grounding/scripts/ground 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.
2. **Read `confidence` + every `evidence_gap` line before trusting any row** —
surface them; the human signs off on what the corpus could NOT support.
3. **Propose grounded options** (archetype + voice + colour + logo + messaging),
each cited per corpus row, with alternatives — the human confirms.
4. The confirmed selections become the **brand token + voice constraint set**
that `brand-to-tokens`, `brand-consistency`, and pack-ai-image's brand-asset
generation consume.
## Output format
1. Grounded brand candidates per domain (archetype, voice, naming, colour,
logo style, messaging, type filter) — each selection cited per corpus row.
2. The grounded output's `confidence` label + every `evidence_gap` line,
verbatim.
3. Alternatives per domain so the human can swap before confirming.
## Do NOT
- Do NOT let the corpus author final brand copy or names — it supplies
constraint sets and patterns; final strings are agent-written and
human-confirmed.
- Do NOT fork the engine — plug in via the manifest (ADR-061 §2).
- Do NOT override the consumer's existing brand tokens / voice profile with
corpus rows — consumer brand is the source of truth; the corpus fills gaps
(see [`brand-source-of-truth`](../../rules/brand-source-of-truth.md)).
- Do NOT hide low confidence — the user signs off on the gaps too.
## Gotchas
- Corpus grounds **pre-action selection** — not mid-task reference and not
output validation ([`brand-consistency`](../../rules/brand-consistency.md)
owns validation).
- Keep queries brand-shaped ("luxury law firm rebrand", "playful kids snack
brand") — generic words land on the default `archetype` domain.
- An empty result is a legitimate outcome — surface the evidence gap and
proceed on priors; never widen filters to force a hit.
- BM25 drops tokens ≤2 chars — pad short queries ("B2B", "AI") with companions.
## See also
- [`corpus-grounding`](../corpus-grounding/SKILL.md) — the shared engine + manifest contract.
- [`brand-strategy`](../brand-strategy/SKILL.md) / [`brand-identity`](../brand-identity/SKILL.md) — the workflow skills that consult this corpus.
- [`design-intelligence`](../design-intelligence/SKILL.md) — sibling corpus instance (style); brand constrains style.
- [`typography-system`](../typography-system/SKILL.md) — consumes the `typography` (archetype→filter) domain for its brand-aware stage-2.
## Policies
- Provenance: [`ATTRIBUTION.md`](ATTRIBUTION.md) — original-authored corpus
from public brand frameworks; shared engine attributed in
[`design-intelligence/ATTRIBUTION.md`](../design-intelligence/ATTRIBUTION.md).
- Refresh: quarterly per the manifest; re-review archetype↔type rows when the
font-pairings Reference refreshes.
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