agency-multi-brand-pack

agency-multi-brand-pack is a skill for Claude Code from PicsArt/gen-ai-skills. It costs 14 tokens per session (2,351 once invoked), scanned A, original, MIT.

A multi-client production setup for agencies that keeps each client's templates, brand rules, files, and jobs separated.

In plain words
What is it for?
It is for recurring client campaigns, seasonal updates, pitch materials, and production runs across a portfolio of brands.
Why use it?
It removes the risk of mixing client assets or rules and makes it easier to run the same work for many clients while tracking each client's costs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the picsart plugin — 23 skills, 2 MCP servers shipped together

Good fit It is for recurring client campaigns, seasonal updates, pitch materials, and production runs across a portfolio of brands.

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Install with agentmods
npx agentmods add skills/picsart/gen-ai-skills/agency-multi-brand-pack
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PicsArt/gen-ai-skills --skill agency-multi-brand-pack
Clone the repo
git clone --depth 1 https://github.com/PicsArt/gen-ai-skills

Made for: Claude Code.

Or install picsart, the plugin that ships this one along with the rest of its 23 skills, 2 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agency-multi-brand-pack

README.md
[![agentmods](https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-multi-brand-pack/github.svg)](https://agentmods.dev/skills/picsart/gen-ai-skills/agency-multi-brand-pack)
Your own site
<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/agency-multi-brand-pack"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-multi-brand-pack/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agency-multi-brand-pack

Your own site · 80×15
<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/agency-multi-brand-pack"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-multi-brand-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,351 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.02351
Opus 5 $0.00007 $0.01175
Sonnet 5 $0.00003 $0.00470
Haiku 4.5 $0.00001 $0.00235

Measured 12d ago against content hash a30dce4f6db2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agency-multi-brand-pack scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/agency-multi-brand-pack/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agency multi-brand pack

Run generations for N retainer clients in one coordinated pass — each client's output strictly namespaced, each job gated by that client's brand rules, every run audit-ready for legal and billing.

N clients × M templates per client → one batch, zero cross-contamination. For agencies running weekly/monthly creative cycles across a client portfolio.

When to Use

  • Weekly/monthly retainer refresh across multiple retainer clients
  • Portfolio-wide seasonal re-skin (e.g. holiday refresh for all 8 retainer brands in one batch)
  • Multi-client pitch week where each pitch needs its own branded mockup set
  • Audit-ready production runs where finance/legal need a per-client spend breakdown
  • Any agency workflow where "run the same pipeline for every client, with their rules" is the task

Do not use for single-client deep-production work — drop to agency-pitch-mockups or a client-specific workflow. Multi-brand is for portfolio parallelism.

Prerequisites

Ask the user (one message):

  1. Client list — slugs of clients in scope (e.g. acme-fintech, zest-retail, nova-travel). Each must have a locked brand-system.json.
  2. Template set per client — same across all clients (hero + 3 social + OG) or does each client have a different deliverable?
  3. This week's theme / brief — one brief that gets re-expressed per client (e.g. "Q2 product refresh") or fully independent briefs per client?
  4. Output destination — Drive folder per client? Dropbox / S3? Internal repo path?
  5. Billing scope — tag each job with client:<slug> so per-client spend can be pulled from gen-ai history
  6. Concurrency ceiling — default 4, raise to 8 if clients all have premium rate limits

If any client in the list lacks brand-system.json or brand.md, stop and run agency-brand-scoping for that client first — do not batch-generate without locked brand files.

How to Run

1. VERIFY BRANDS  → every client in scope has clients/<slug>/brand.md + brand-system.json
2. SCAFFOLD       → build per-client manifest fragments, merge into one master manifest
3. ESTIMATE       → gen-ai batch run <manifest.json> --dry-run + estimate; break into smaller batches if > $20
4. RUN            → `gen-ai batch run <manifest.json>` with client names in job IDs and a resume-ready output dir
5. VERIFY         → per-client output folders populated; cross-check any NULLs in results.json
6. AUDIT          → export per-client spend + asset list for billing
7. DELIVER        → folder per client, approved files uploaded or linked in the retainer channel

Read the full file on GitHub · 180 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 180 lines · 14 tokens per session scan A a30dce4f6db2

Subscribe to this mod's changes

agency-multi-brand-pack is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 15d ago), licensed MIT. It adds 14 tokens to every session and 2,351 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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