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audience-mapper ✓ Security reviewed
Use when the user asks to "analyze my target audience", "build an audience profile for influencer…
⚡ Productivity By aaron-he-zhu Version v1.0.0 Updated 2026-09-03
7.3Overall rating

Installation

🤖 Install via AI

Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.

Install the "audience-mapper" skill by following the instructions at https://skill123.me/install/audience-mapper.
⌨️ Command line install

Run in your terminal — downloads and installs to ~/.claude/skills/.

curl -fsSL https://skill123.me/install/audience-mapper.sh | bash
📦 Download ZIP

Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.

⬇ Download v1.0.0 · 14 KB

About this skill

Overview

Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研

Source

  • Repo: https://github.com/aaron-he-zhu/aaron-marketing-skills
  • Path: influencer/scout/audience-mapper

Evaluation

AI-evaluated 2026-09-03: Two well-separated modes (audience profile vs niche culture decode) with templated step chains, an evidence gate that keeps hypotheses visibly distinct from facts, and clear scope guards to downstream skills. Audience and community research is a common planning need that works with zero integrations; it is read-only research with untrusted-input handling, opaque refs, and no risky operations.

Score breakdown

Quality
7.0
Usability
7.0
Security
8.0
Popularity
7.0