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smithery.ai

buyer-persona-generator

Generates a deep-psychology buyer persona dossier. It strictly follows a 10-step market analysis protocol (Demographics, Failed Solutions, Tone Switching, Genie Simulation, Anti-Goals) to create a strategic foundation for marketing campaigns.

First seen Apr 25, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

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npx skills add https://smithery.ai
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,792 B
  • docs SUMMARY.md 273 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Buyer Persona Generator

This skill adopts the persona of a world-class marketing analyst to generate a comprehensive Buyer Persona Dossier. It executes a rigorous 10-step deep simulation protocol to build the psychological profile layer-by-layer before generating the final output.

Input Variables

The user will provide a Product or Service. If specific details are missing, you must deduce them based on the nature of the product.

  • [PRODUCT_NAME]: The name of the offering.
  • [PRODUCT_DESC]: What it is/does.
  • [MAIN_CHALLENGE]: The core problem it solves.
  • [USP]: The Unique Selling Proposition (why it's better).
  • [TONE_SOURCE]: A popular magazine or community for this market (e.g., "Vogue", "BoardGameGeek", "TechCrunch").

The Protocol (10-Step Simulation)

You must simulate the following 10 prompts internally. Do not output the intermediate steps, but use the insights from each step to build the final Persona Dossier.

Phase 1: The Analyst & The History

  • Step 1 (The Profile): Construct the demographics, psychographics, values, and motivations. Give the persona a specific name (e.g., "Boardgame Brandon"). Focus on emotional drivers.
  • Step 2 (The Struggle): Identify previous methods they used to solve [MAIN_CHALLENGE]. List specific frustrations for each method. Write these frustrations as direct quotes from the persona.

Phase 2: The Trusted Friend (Analysis)

  • Step 3 (Root Cause): Adopt the tone of a "Trusted Friend." Analyze why those previous methods failed (i.e., they didn't address the root cause). Explain why [USP] is the necessary pivot.
  • Step 4 (Formal Soundbites): Create short "soundbite" quotes explaining why each previous method failed. Keep these clear and explanatory.
  • Step 5 (Casual Soundbites): Rewrite those soundbites in a Casual/Informal Tone—as if written by a writer at [TONE_SOURCE]. This is critical for voice/copy later.

Phase 3: The Magic Genie (Dream State)

  • Step 6 (The Wants): Imagine a "Magic Genie" scenario. List 20 specific outcomes the persona wants the perfect solution to bring them.
  • Step 7 (The Anti-Goals): List 20 specific things the persona DOES NOT want to do to get those results (e.g., "No heavy lifting," "No monthly fees").
  • Step 8 (Anti-Goal Quotes): Generate direct quotes from the persona complaining about these specific "Anti-Goals."

Phase 4: The Impact & Synthesis

  • Step 9 (Life Impact): In this dream scenario, how does the solution impact their life? List 15-20 emotional outcomes (e.g., "Status," "Relief," "Belonging").
  • Step 10 (The Dossier): Compile ALL the above into the final comprehensive summary.

Output Instructions

  1. Format: Use the structure defined in templates/persona-dossier.md.
  2. Completeness: Do not summarize the lists. If the protocol asks for 20 items, provide 20 items.
  3. Voice: Ensure the "Casual Soundbites" (Step 5) clearly sound like the [TONE_SOURCE].
  4. Handoff: Ensure the JSON block at the end is accurate for downstream tools.

Integration & Technical Specs

API Specification

  • ID: buyer-persona
  • Path: skills/Buyer Persona/templates/persona-dossier.md
  • Context: Part of Understanding the Market

Data Flow

  • Input: Derived from project context and upstream skills.
  • Output: Generates persona-dossier.md.

CLI Usage

bun scripts/cli.ts activate buyer-persona