Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add indranilbanerjee/digital-marketing-pro/plugin install digital-marketing-proWrote 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.
[](https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/brand-setup)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/brand-setup"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/brand-setup/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.
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/brand-setup"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/brand-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00148 | $0.01689 |
| Opus 5 | $0.00074 | $0.00844 |
| Sonnet 5 | $0.00030 | $0.00338 |
| Haiku 4.5 | $0.00015 | $0.00169 |
Grade A, and why
brand-setup 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Setup — Interactive Brand Profiling
When to Use This Skill
- User says "set up a new brand" or "create a brand profile"
- User mentions a new client or project for marketing
- User wants to switch between brands (agency use case)
- User wants to update brand voice, audiences, or goals
- First time using any marketing skill without an active brand
Setup Modes
Quick Setup (5 questions — recommended for getting started fast)
If the user wants to get started quickly, or says "quick setup", ask only these 5 essential questions:
- Brand name — "What's your brand or business name?"
- What you do — "In one sentence, what does [brand] do?" (extract industry, business model, USP)
- Target audience — "Who is your primary customer?" (extract B2B/B2C, demographics)
- Brand voice — "Pick 3 words that describe how your brand communicates" (map to formality/energy/humor/authority scales)
- Primary channel — "Where do you primarily market? (social media, email, SEO, paid ads, etc.)"
From these 5 answers, intelligently populate the full profile:
- Infer industry, business model type, and compliance requirements
- Map voice descriptors to the 1-10 scales (e.g., "professional" → formality: 8, "fun" → humor: 7)
- Set sensible defaults for everything else
- Tell the user: "Quick profile created! You can refine it anytime with /digital-marketing-pro:brand-setup --full"
Full Setup (17 questions — comprehensive profiling)
Use the full setup when:
- User explicitly asks for detailed/full/comprehensive setup
- User says "/digital-marketing-pro:brand-setup --full"
- User wants to update specific sections of an existing profile
Process (Full Setup)
Step 1: Brand Identity
Ask the user one question at a time (don't overwhelm):
- Brand name: "What's the brand/company name?"
- Elevator pitch: "In one sentence, what does [brand] do?"
- USP: "What makes [brand] different from competitors?"
- Mission/Values: "What's the brand's mission? What values drive it?"
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.
- 11d ago First seen · 128 lines · 148 tokens per session scan A da5d601923fd
brand-setup is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 148 tokens to every session and 1,689 once invoked, about $0.0007 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.
Other skills, from other repositories
cf-style-guide
Import a brand voice profile from an existing style guide — a .docx/.pdf document, a URL, or manual input — extracting tone, formality, personality, approved/banned terminology, compliance guardrails, and author profiles into a structured brand-profile JSON at /.claude-marketing/{brand-slug}/Brand-Guidelines/, then…
marketing-expert
Build comprehensive marketing technology solutions including automation workflows, campaign management, analytics tracking, and multi-channel orchestration. Use when the user mentions marketing automation, campaign management, SEO, email or content marketing, attribution, or multi-channel orchestration.
cf-brief
Generate a research-backed content brief from a keyword or topic — keyword data with volume and difficulty, top-5 competitor and E-E-A-T analysis, search-intent classification, audience pain points, a section-by-section outline with word counts and citation targets, plus SEO and AEO/GEO strategy (AI Overview status…
cf-publish
Execute CMS publishing: push a finished, reviewed piece (Phase 8 complete, quality score >=7.0) to Webflow or WordPress via MCP connectors as draft, scheduled, or live — always showing a full publish preview and waiting for your explicit yes/no/edit confirmation before anything is pushed. Runs the EU AI Act Article 50…
cf-template
Create and manage custom content-type templates beyond the 8 built-ins (article, blog, whitepaper, faq, research-paper, video-script, case-study, newsletter) — defining section structure, word-count allocations, readability targets, citation minimums, and quality standards, then validating the template against every…
cf-variants
Generate 3-10 scored A/B test variations of a single content element — headline, hook, CTA, intro, or conclusion — each rated across 6 quality dimensions and ranked by your optimization goal (clicks, engagement, conversions, or readability), with top-3 recommendations and A/B test setup guidance (sample size…