marketing

marketing is a skill for Claude Code from ucsandman/marketing-studio. It costs 71 tokens per session (5,022 once invoked), scanned A, original, MIT.

A workflow that creates a product’s complete marketing asset set in one run, including brand setup, animations, a product demo, launch video, social clips, and open-graph images for link previews.

In plain words
What is it for?
It is for preparing the collection of visual and video materials needed to launch a product.
Why use it?
It coordinates several asset-making workflows and can resume an unfinished run while checking that expected files actually exist.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

Part of the marketing-studio plugin — 15 skills shipped together

Good fit It is for preparing the collection of visual and video materials needed to launch a product.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ucsandman/marketing-studio/marketing
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 ucsandman/marketing-studio --skill marketing
Clone the repo
git clone --depth 1 https://github.com/ucsandman/marketing-studio

Made for: Claude Code.

Or install marketing-studio, the plugin that ships this one along with the rest of its 15 skills.

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 marketing

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/marketing-studio/marketing/github.svg)](https://agentmods.dev/skills/ucsandman/marketing-studio/marketing)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/marketing"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/marketing/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 marketing

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/marketing"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,022 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 28
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00071 $0.05022
Opus 5 $0.00036 $0.02511
Sonnet 5 $0.00014 $0.01004
Haiku 4.5 $0.00007 $0.00502

Measured 5d ago against content hash 6e7a2fea9599, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing 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 5d 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/marketing/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Mega-Pipeline

One command produces a product's full asset suite: brand onboarding, UI polish, logo reveal, product demo, launch video with audio, social clips, and OG assets. The individual asset skills own their recipes; this skill owns sequencing, gates, and run state.

REQUIRED BACKGROUND: marketing-studio (engine-repo workflow shape and non-negotiables). All PLAYBOOK rules apply.

Production route: read docs/production-quality.md. Require --project <product-repo> and use <workspace> = <product>/marketing/assets/<brand>. Every generated capture, audio file, prop, public-stage asset, render, report, matrix row, and post kit stays in that product workspace. Engine-local out/ is not a product-run path.

Resume check — before anything else

Read <workspace>/marketing/run.json. If it exists and any asset is not delivered, this invocation is a RESUME: load its intake and continue at the first incomplete asset. Confirm every claimed artifact exists inside the product workspace before trusting state.

On resume, still run the Phase 1 environment checks (shared-repo guard + launch.py --check — the previous process died mid-flight), but skip brand onboarding and Phase 2 polish if the manifest marks them complete. Trust a rendered/approved status only after confirming its artifact actually exists on disk; missing or truncated artifact → demote that asset to planned.

Phase 0 — Intake: ONE batched question round, then silence

Fresh runs only. Ask everything in a single AskUserQuestion, then run without asking again (exceptions: per-asset stills gates in gated mode, final delivery):

  1. Product/brand — which brand and the explicit product repo used by --project.
  2. UI polish before filming? Default YES: the demo films the real running app, so rough edges get rendered at 60fps forever. YES = impeccable → polish → frontend-verify on the product repo before any capture. NO = film as-is. This edits product code, so it is always the user's call — never silently skip it AND never silently do it.
  3. Audio — music + voiceover is the default and the only thing a film ships with; ask only WHO narrates (brand voice id vs default) and whether music leads or narration leads. "None" is not an option and music-only is a recorded exception (--music-only), never a default: a film with no voice explaining the product is not done (CLAUDE.md, learned 2026-09-01).
  4. Social clips — platforms and count (default: X + LinkedIn, one each).
  5. Checkpoint mode — full-auto (self-check stills, user reviews the final gallery) or gated (user approves stills before each full render).

Read the full file on GitHub · 197 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago Changed · +10 lines 6e7a2fea9599
  2. 6d ago Changed · +44 lines b90e79647758
  3. 7d ago Changed · +20 lines 4a1c65e6d952
  4. 12d ago First seen · 123 lines · 71 tokens per session scan A 383ea015d882

Subscribe to this mod's changes

marketing is a skill published in the GitHub repository ucsandman/marketing-studio (241 stars, last pushed 6d ago), licensed MIT. It adds 71 tokens to every session and 5,022 once invoked, about $0.0004 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 2026-08-30.

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