How this skill is triggered — by the user, by Claude, or both
Slash command
/picsart:agency-brand-scopingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A fast discovery pass for a new client: gather brand signals (site, deck, competitors, audience, tone), lock them into a reusable `brand-system.json` file, and produce 5 on-direction visual explorations to validate with the client before any production spend.
A fast discovery pass for a new client: gather brand signals (site, deck, competitors, audience, tone), lock them into a reusable brand-system.json file, and produce 5 on-direction visual explorations to validate with the client before any production spend.
URL / deck in → brand-system.json + 5 direction variations out. One hour, under $1 in generation cost, reusable across the rest of the engagement.
Do not use for finished campaign assets — this is discovery only. Lock the system here, then run agency-pitch-mockups or agency-multi-brand-pack for deliverables.
Ask the user (batch in one message):
acme-fintech)If the user gives a URL or deck, read/fetch it first and extract palette, typography impression, imagery style, and tone words. Propose the brand-system.json back for confirmation before generating.
1. INGEST → read URL / deck / Figma, extract signals
2. DRAFT → propose brand-system.json (palette, type-feel, imagery, tone, do-nots)
3. CONFIRM → user locks the system; save to clients/<slug>/brand-system.json
4. ESTIMATE → gen-ai pricing on the 5-direction batch (< $1 target)
5. GENERATE → 5 directions, each with a single-word descriptor tag
6. REVIEW → contact-sheet the 5 outputs, get client pick
7. LOCK → winning direction becomes clients/<slug>/brand.md for all future work
Rules:
brand-system.json, every future generation for this client re-litigates brand from scratch.recraftv4 ≈ 10 credits, but confirm in-session."obvious mockup" language in prompt.clients/<slug>/.{
"client_slug": "acme-fintech",
"brand_system": "clients/acme-fintech/brand-system.json",
"defaults": { "model": "recraftv4", "aspectRatio": "16:9" },
"variants": {
"direction": ["editorial", "bold", "minimal", "playful", "cinematic"]
},
"jobs": [
{ "id": "{direction}", "prompt": "<client descriptor> — {direction} direction" }
]
}
Lock the winning direction back into clients/<slug>/brand.md — a 10-line markdown file Claude + downstream batches can include in prompts.
| Sub-task | Model | Why |
|---|---|---|
| Direction exploration (default) | recraftv4 | Design-forward, honors palette + type feel, cheap |
| Photo-led brands (fashion, hospitality) | flux-2-pro | Photoreal, better lighting, for brands that live in photography |
| Typography-centric directions (editorial posters, quote slides) | ideogram-v3 | Only model that renders readable headlines reliably |
| Quick cheap drafts when testing 10+ directions | gemini-3.1-flash-image or gemini-3.1-flash-image | ~1 credit each; use for throwaway iteration |
Check live IDs with gen-ai models --mode image before committing — names shift.
-i from a different client folder, ever.brand-system.json to the repo, not Drive. It's versioned alongside code and MRs.clients/<slug>/prompts/ — hero, tile, social, OG templates that all reference the locked direction.brand-system.json → 5 gorgeous directions that don't fit the brandbrand.md "because it looked nice" — your competitive moat is per-client rigor, don't blow it--drive-folder "internal-$CLIENT" or a private workspaceRun gen-ai whoami to confirm authentication, then re-run the failed command with --debug.
Pull signals from whatever the client gave you. If it's a URL, fetch it. If it's a deck, read it. Summarize into:
{
"client_slug": "acme-fintech",
"brand": {
"palette": { "primary": "#0B1F3A", "accent": "#00D4A3", "neutral": "#F5F3EE" },
"typography_feel": "geometric sans, tight tracking, editorial weights",
"imagery_direction": "abstract finance, muted photography, no stock clichés",
"tone_words": ["trustworthy", "calm", "precise"],
"do_not": ["cartoon illustration", "neon gradients", "tech-bro stock photos"]
},
"competitors": ["wise.com", "mercury.com"],
"audience": "seed-stage founders, CFO buyers",
"confidentiality": "NDA"
}
Save to clients/<slug>/brand-system.json. This file is the single source of truth referenced by every downstream skill.
Each direction gets a single-word descriptor. Standard starter set: editorial, bold, minimal, playful, cinematic. Swap any that clashes with the brand's tone words (e.g. drop "playful" for a private bank).
CLIENT="acme-fintech"
OUT="clients/$CLIENT/scoping"
mkdir -p "$OUT"
# Check per-call pricing first, then multiply by 5 directions.
gen-ai pricing recraftv4
# Run as 5 discrete jobs so each can get its own direction prompt
cat > /tmp/$CLIENT-scoping.json <<EOF
{
"defaults": { "model": "recraftv4" },
"jobs": [
{ "id": "01-editorial", "prompt": "$CLIENT hero — editorial magazine feel, restrained palette, generous whitespace, confident typography", "aspectRatio": "16:9" },
{ "id": "02-bold", "prompt": "$CLIENT hero — bold graphic, high contrast, oversized type, flat color blocking", "aspectRatio": "16:9" },
{ "id": "03-minimal", "prompt": "$CLIENT hero — minimal composition, single focal element, muted neutrals, precise negative space", "aspectRatio": "16:9" },
{ "id": "04-playful", "prompt": "$CLIENT hero — playful abstract shapes, warm palette, hand-drawn accent, approachable energy", "aspectRatio": "16:9" },
{ "id": "05-cinematic", "prompt": "$CLIENT hero — cinematic photography, shallow depth of field, moody lighting, filmic grain", "aspectRatio": "16:9" }
]
}
EOF
gen-ai batch run /tmp/$CLIENT-scoping.json -c 5 -o "$OUT"
Results land at clients/<slug>/scoping/0X-<direction>.webp + results.json. Present the 5 side-by-side to the client.
| Phase | Typical spend | Typical time |
|---|---|---|
Scoping (this skill, 5 directions, recraftv4) | ~$0.50–$1 | 15-30 min incl. review |
| Production (after direction lock) | $5–$50 per asset set | Per deliverable |
Keep scoping under $1. If a client won't approve a direction after 5, the brief is broken — don't burn credits, push back on the brief.
workflows/agency-pitch-mockups/ — once direction is locked, produce pitch assetsworkflows/agency-multi-brand-pack/ — run scoping-plus-production across many retainer clientsworkflows/agency-client-handoff/ — package final work at engagement endgen-ai-workflows.md — general multi-step patternsgen-ai-batch.md — manifest shapes and concurrency tuningnpx claudepluginhub picsart/gen-ai-skills --plugin picsartGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.