audience-profile

audience-profile is a skill for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 158 tokens per session (791 once invoked), scanned A, original, MIT.

A detailed description of the types of customers a business wants to reach, including their motivations, behavior, goals, objections, and preferred content. A buyer persona is a realistic profile used to guide marketing decisions.

In plain words
What is it for?
Use it to create two to four customer profiles from product details, research, analytics, customer records, interviews, and existing assumptions.
Why use it?
It replaces vague assumptions about an audience with a shared picture of the people a brand is trying to serve. This helps marketing teams choose clearer messages, content, and channels.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths.

Part of the digital-marketing-pro plugin — 154 skills, 18 commands, 24 agents shipped together

Good fit Use it to create two to four customer profiles from product details, research, analytics, customer records, interviews, and existing assumptions.

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

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 154 skills, 18 commands, 24 agents.

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 audience-profile

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/audience-profile"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/audience-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 791 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 Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00158 $0.00791
Opus 5 $0.00079 $0.00396
Sonnet 5 $0.00032 $0.00158
Haiku 4.5 $0.00016 $0.00079

Measured 12d ago against content hash 2a932a762e96, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

audience-profile 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/audience-profile/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/digital-marketing-pro:audience-profile

Purpose

Build a rich, actionable buyer persona that goes beyond basic demographics. Captures psychographic drivers, behavioral patterns, jobs-to-be-done, objections, and content consumption preferences to inform all marketing activities.

Input Required

The user must provide (or will be prompted for):

  • Product/service: What the brand offers
  • Customer type: B2B buyer, B2C consumer, or both
  • Existing data: Any customer research, survey data, analytics demographics, CRM data, or interview insights
  • Number of personas: How many distinct personas to create (recommend 2-4)
  • Hypothesis: Who the user thinks their ideal customer is (starting point)

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Gather inputs through structured questions if data is limited
  3. Build demographic profile: age range, role/title, company size (B2B), income range, geography, education
  4. Develop psychographic profile: values, motivations, fears, aspirations, identity markers
  5. Map behavioral patterns: where they spend time online, content formats preferred, purchase behavior, decision-making process
  6. Define jobs-to-be-done: functional, emotional, and social jobs the product helps accomplish
  7. Identify objections and barriers to purchase with counter-messaging
  8. Document the buyer journey: trigger events, research process, evaluation criteria, decision influencers
  9. Specify content preferences: platforms, formats, tone, topics they engage with
  10. Give the persona a name and narrative summary for team alignment

Read the full file on GitHub · 53 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 · 53 lines · 158 tokens per session scan A 2a932a762e96

Subscribe to this mod's changes

audience-profile is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (812 stars, last pushed 4d ago), licensed MIT. It adds 158 tokens to every session and 791 once invoked, about $0.0008 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.

Related

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…

indranilbanerjee/contentforge · 178 tokens

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.

personamanagmentlayer/pcl · 51 tokens

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…

indranilbanerjee/contentforge · 169 tokens

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…

indranilbanerjee/contentforge · 168 tokens

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…

indranilbanerjee/contentforge · 160 tokens

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…

indranilbanerjee/contentforge · 162 tokens