# audience-mapper

Analyzes target audiences, maps niche subcultures, and sets creator selection criteria before influencer campaigns.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1000 installs · ★ 3013
- Author: aaron-he-zhu
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/influencer/scout/audience-mapper/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/audience-mapper

## What it does

The skill operates in two modes. In `audience` mode, it maps demographics, psychographics, a platform-priority matrix, and influencer-selection criteria with clear red flags. In `niche` mode, it performs a culture decode covering community language, norms, taboos, a 25-point Brand Fit Score, and a phased entry plan.

Without supplied first-party data or platform evidence, the skill flags branches with `NEEDS_INPUT` and returns research hypotheses rather than verified facts. It does not search for creator contracts or score suitability tiers directly; those tasks belong downstream to `influencer-discovery` and `fit-scorer`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-mapper -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/audience-mapper/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/audience-mapper/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-mapper -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/audience-mapper/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-mapper -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/audience-mapper/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install aaron-he-zhu/aaron-marketing-skills audience-mapper
```

2. **Manually: put the files in place**
- File: `.github/skills/audience-mapper/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-mapper -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/aaron-he-zhu/aaron-marketing-skills --path influencer/scout/audience-mapper
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/audience-mapper/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-mapper -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/influencer/scout/audience-mapper/SKILL.md

## When to use it
- build demographic and psychographic audience profiles
- decode subculture norms, language, and taboos before brand outreach
- define influencer selection criteria with hard red flags
- calculate a 25-point Brand Fit Score for entering a niche

## Example prompts
- Analyze the target audience for [brand] in audience mode
- Research the van-life community and identify opportunities for [brand]
- Deep-dive [subculture] — key voices, what content works, brand fit, cultural risks

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f17e90ca9cc85d4c.

BEGIN THIRD-PARTY FILE f17e90ca9cc85d4c
```text
---
name: audience-mapper
slug: audience-mapper
displayName: "Audience Mapper · 目标受众画像"
summary: "目标受众画像/人群分析 · 细分社群/亚文化调研"
description: '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'
version: "20.1.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Run at the start of an influencer program, or when entering a new market/segment, before any creator selection — this is the who + what-community step. Use audience mode to understand who the customer is, where they spend time online, which creators they trust, and what selection criteria follow; use niche mode to decode a specific subculture's language, norms, taboos, key voices, and brand fit before outreach so the brand avoids cultural missteps. From a brand or product name alone, produce hypotheses and a research plan; factual mapping requires supplied or fetched customer/community evidence. Also use to diagnose why a prior campaign underperformed or to build personas for a creative brief."
argument-hint: "<brand/product or niche> [mode: audience|niche] [category] [geo/platforms]"
metadata: {"author": "aaron-he-zhu", "version": "20.1.0", "discipline": "influencer", "phase": "scout", "geo-relevance": "low", "hermes": {"tags": ["marketing", "influencer", "scout"], "category": "influencer"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Audience Mapper

Maps **who** the brand is trying to reach and **what community** they belong to — the two halves of understanding an audience before any creator is selected. It runs in two modes against one shared inputs set:

- **`audience` mode** — the wide-angle read: demographic + psychographic profiles, a behavioral/media-diet map, a platform-priority matrix, content preferences, an influencer-affinity table, one or more named personas, and a must-have / nice-to-have / red-flag **influencer-selection criteria** set ready to hand to discovery.
```
END THIRD-PARTY FILE f17e90ca9cc85d4c

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