How this skill is triggered — by the user, by Claude, or both
Slash command
/picsart:agency-pitch-mockupsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Rapid visuals for a new-business pitch deck: campaign hero, product tiles, key-visual explorations, quote slides — all client-branded, all clearly-labeled-as-mockup, all iterable in under an hour before the pitch.
Rapid visuals for a new-business pitch deck: campaign hero, product tiles, key-visual explorations, quote slides — all client-branded, all clearly-labeled-as-mockup, all iterable in under an hour before the pitch.
Brief + locked direction → full pitch-deck asset set. Speed first (pitch windows are brutal), reusability second (if you win, these become production inputs), clarity third (nobody should confuse a mockup for shipped work).
Do not use for finished deliverables — pitch mockups are intentionally aspirational and mockup-flagged. For final assets after win, use agency-multi-brand-pack or project-specific production workflows.
Ask the user (one message):
clients/<slug>/brand.md (output of agency-brand-scoping). If missing, run brand-scoping first.If the user hasn't locked a direction yet, stop and route them to agency-brand-scoping first. Don't pitch on guesses.
1. LOAD BRAND → read clients/<slug>/brand.md + brand-system.json
2. PLAN → table of every asset with prompt + aspect + model
3. ESTIMATE → gen-ai pricing on the full manifest (target < $5)
4. DRAFT PASS → run at draft quality (gemini-3.1-flash-image / recraftv4) for fast iteration
5. CLIENT REVIEW → internal pitch-team review on the draft set
6. FINALIZE → upgrade approved concepts to flagship models
7. WATERMARK → add subtle "MOCKUP" footer where required
8. DELIVER → organized folder + approved upload/link + deck-ready filenames
Rules:
{
"client_slug": "acme-fintech",
"concept": "waits-for-you",
"phase": "draft",
"brand_system": "clients/acme-fintech/brand-system.json",
"defaults": {
"model": "recraftv4"
},
"variants": {
"asset": ["hero", "tile-01", "tile-02", "tile-03", "quote-01", "quote-02"]
},
"mockup_footer": "MOCKUP — For internal review only"
}
| Sub-task | Draft | Final | Notes |
|---|---|---|---|
| Hero / key visual | recraftv4 | flux-2-pro | Flux lifts it to photoreal polish when a concept sticks |
| Product / audience tiles | recraftv4 | recraftv4_pro if available, else hold at recraftv4 | Usually fine at draft quality |
| Quote slides (readable headlines) | ideogram-v3 | ideogram-v3 | Only model that renders type reliably |
| Animated key visual for video pitch | kling-v3-standard | kling-v3-pro | See motion-studio skill for assembly |
| Throwaway concept tests (10+ options) | gemini-3.1-flash-image / gemini-3.1-flash-image | n/a | ~1 credit each |
pitches/concept-a/, pitches/concept-b/ — never mix.MOCKUP footer on every image; use a deck/editor overlay, ImageMagick, or ffmpeg if available.gen-ai generate -m recraftv4 -i pitch/hero.webp --prompt "square crop variant" keeps concept coherent.hero.webp, tile-01.webp — not gen_01H2XYZ.webp.pitches/<concept>/prompts.json — when you win, production starts here.results.json per rungen-ai pricing before a 50-variant concept explosion — pitch budgets don't absorb $40 surprisesRun gen-ai whoami to confirm authentication, then re-run the failed command with --debug.
Present a table before spending:
| # | Asset | Concept | Model (draft → final) | Aspect | Notes |
|---|---|---|---|---|---|
| 1 | Hero | "Banking that waits" | recraftv4 → flux-2-pro | 16:9 | Full-bleed, tagline overlay |
| 2 | Tile A | Product focus | recraftv4 | 1:1 | Clean product shot |
| 3 | Tile B | Audience focus | recraftv4 | 1:1 | Founder at desk, moody |
| 4 | Tile C | Benefit focus | recraftv4 | 1:1 | Abstract benefit icon |
| 5 | Quote slide 1 | Customer voice | ideogram-v3 | 16:9 | Readable headline type |
| 6 | Quote slide 2 | Founder voice | ideogram-v3 | 16:9 | Readable headline type |
Estimate the manifest. If under $5, proceed. If over, cut the draft resolution or concept count.
CLIENT="acme-fintech"
CONCEPT="waits-for-you"
OUT="clients/$CLIENT/pitches/$CONCEPT/drafts"
mkdir -p "$OUT"
cat > /tmp/pitch-$CLIENT-$CONCEPT.json <<EOF
{
"defaults": {
"model": "recraftv4"
},
"jobs": [
{ "id": "hero", "prompt": "$CLIENT hero, concept: banking that waits for you — editorial, cinematic, headline overlay area left-third", "aspectRatio": "16:9" },
{ "id": "tile-01", "prompt": "$CLIENT product tile — clean product render, brand palette", "aspectRatio": "1:1" },
{ "id": "tile-02", "prompt": "$CLIENT audience tile — founder at desk, moody lighting, documentary", "aspectRatio": "1:1" },
{ "id": "tile-03", "prompt": "$CLIENT benefit tile — abstract waiting metaphor, minimal composition", "aspectRatio": "1:1" },
{ "id": "quote-01", "prompt": "quote slide, large editorial headline 'Finally a bank that moves like I do.', brand palette, minimal background", "aspectRatio": "16:9", "model": "ideogram-v3" },
{ "id": "quote-02", "prompt": "quote slide, large editorial headline 'Built for founders who don't wait.', brand palette, minimal background", "aspectRatio": "16:9", "model": "ideogram-v3" }
]
}
EOF
gen-ai batch run /tmp/pitch-$CLIENT-$CONCEPT.json -c 4 -o "$OUT"
Review internally. For approved concepts, re-run the subset with model: flux-2-pro and output to pitches/$CONCEPT/finals/.
| Phase | Spend | Time |
|---|---|---|
Draft pass (6 assets, recraftv4) | ~$1-2 | 10-15 min |
Final upgrade (2-3 winners to flux-2-pro) | ~$2-4 | 15-20 min |
| Total pitch kit | ~$5 | ~45 min end-to-end |
Compare to production-phase cost after win: single campaign set with final photography-grade generations runs $20-100+.
workflows/agency-brand-scoping/ — lock direction + brand.md before pitchingworkflows/agency-multi-brand-pack/ — retainer production across clientsworkflows/agency-client-handoff/ — package final deliverables post-winmotion-studio — if the pitch needs a sizzle reelgen-ai-workflows.md §9 (Pitch mockups) — source recipegen-ai-batch.md — manifest + 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.