Audience Profile

Community

indranilbanerjee

audience-profile

Profile 2-4 buyer personas as narrative documents: drivers, objections, journey. "create a buyer persona"

Overview

Publisher	indranilbanerjee
Repository	`digital-marketing-pro`
Skill name	`audience-profile`
Stars	866
Forks	138
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Audience Profile AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/audience-profile
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/audience-profile

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/audience-profile .claude/skills/audience-profile

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audience Profile in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audience Profile on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audience Profile is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/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

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.
Gather inputs through structured questions if data is limited
Build demographic profile: age range, role/title, company size (B2B), income range, geography, education
Develop psychographic profile: values, motivations, fears, aspirations, identity markers
Map behavioral patterns: where they spend time online, content formats preferred, purchase behavior, decision-making process
Define jobs-to-be-done: functional, emotional, and social jobs the product helps accomplish
Identify objections and barriers to purchase with counter-messaging
Document the buyer journey: trigger events, research process, evaluation criteria, decision influencers
Specify content preferences: platforms, formats, tone, topics they engage with
Give the persona a name and narrative summary for team alignment

Output

A structured buyer persona document containing:

Persona name and one-paragraph narrative
Demographic snapshot
Psychographic profile with motivations and values
Jobs-to-be-done framework (functional, emotional, social)
Day-in-the-life scenario
Buyer journey map with touchpoints and decision criteria
Objections and counter-messaging guide
Content and channel preferences
Messaging do's and don'ts for this persona

Agents Used

marketing-strategist — Persona development, JTBD framework, buyer journey mapping, audience segmentation

Frequently asked questions

What does the Audience Profile AI skill do?

Profile 2-4 buyer personas as narrative documents: drivers, objections, journey. "create a buyer persona"

Why use Audience Profile on TypingMind?

Because you install it once and use it with any model. Audience Profile is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audience Profile in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/audience-profile. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Audience Profile?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audience Profile?

As many as you like. As long as a model supports skills, you can use Audience Profile with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audience Profile AI skill free?

Yes. It is published on GitHub by indranilbanerjee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Ab Testing

coreyhaines31

CommunityPopular

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test…

Ad Creative

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad…

Ads

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,'…

Ai Seo

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/digital-marketing-pro:audience-profile

Purpose

Input Required

Process

Output

Agents Used

Frequently asked questions

Related AI Skills

Set up your own AI workspace now