What makes Audience Mapper notable?

1.1K downloads. Trust evidence available

How should Audience Mapper be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Audience Mapper

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 s... Skill: Audience Mapper Owner: aaron-he-zhu Summary: 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 s... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:15:46.181Z | auto Version 19.0.0 - Added distribution-manifest.json for better distribution management. - Updated SKILL.md: version bumped to 19.0

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:audience-mapper

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-audience-mapper/snapshot"

Documentation

CLAWHUB

144,172 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
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: "19.0.0"
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. Works from a brand or product name alone, or from supplied customer/community data. 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": "19.0.0", "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.
- **`niche` mode** — the deep-dive: a community map (size, sub-niches, psychographics), a culture decode (language, norms, taboos), key-voice tiers, a content ecosystem, a **Brand Fit Score (X/25)** with a Strong/Moderate/Weak/Poor verdict, and a phased entry strategy with explicit red lines.

Both feed [STAR](../../../references/star-benchmark.md) creator/content scoring downstream, but this skill computes **neithe

_meta.json

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  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "audience-mapper",
  "version": "19.0.0",
  "publishedAt": 1784902546181
}

references/templates.md

# Audience Mapper — Templates

Fill-in templates for both modes. Mark every inferred attribute with a confidence level (High/Med/Low) so unsupported guesses stay visible. Lead with user-supplied data. Steps map to the numbered Instructions in [../SKILL.md](../SKILL.md): **audience** mode uses §A1–A9, **niche** mode uses §N1–N7.

---

## 1 — Set the Mode & Gather Context

Confirm or infer the mode, state it, then fill the shared block. Niche mode fills the extra rows.

```markdown
### Mapping Parameters

**Mode**: audience | niche   (inferred → state why)
**Brand/Product**: [name]
**Category**: [industry/vertical]
**Current Customer Base**: [description if available]
**Geographic Focus**: [regions/countries]
**Price Point**: [budget/mid/premium]
**Campaign Objective**: [awareness/consideration/conversion]

<!-- niche mode adds: -->
**Niche/Community**: [name]
**Parent Category**: [broader category]
**Research Goal**: [awareness/partnership/entry strategy]
**Platforms to Focus**: [platforms]
```

---

# audience mode (§A2–A9)

## A2 — Analyze Demographics

```markdown
## Demographic Profile

### Primary Audience

| Attribute | Profile | Confidence |
|-----------|---------|------------|
| Age Range | [X-Y years] | High/Med/Low |
| Gender | [distribution] | High/Med/Low |
| Location | [primary markets] | High/Med/Low |
| Income | [range] | High/Med/Low |
| Education | [level] | High/Med/Low |
| Occupation | [types] | High/Med/Low |
| Family Status | [single/married/parents] | High/Med/Low |

### Secondary Audience

| Attribute | Profile | Notes |
|-----------|---------|-------|
| [attributes] | [values] | [notes] |

### Demographic Insights

**Key Findings**:
1. [Insight about age/generation]
2. [Insight about location/culture]
3. [Insight about life stage]

**Implications for Influencer Selection**:
- Look for influencers aged [range] who resonate with [demographic]
- Prioritize creators in [locations/markets]
- Consider [family/lifestyle] focused content creators
```

## A3 — Profile Psychographics

```markdown
## Psychographic Profile

### Values & Beliefs

| Value | Importance | How It Manifests |
|-------|------------|------------------|
| [Value 1] | High | [Behavior/preference] |
| [Value 2] | High | [Behavior/preference] |
| [Value 3] | Medium | [Behavior/preference] |

### Interests & Hobbies

**Primary Interests** (directly related to product):
- [Interest 1] - [relevance]
- [Interest 2] - [relevance]

**Adjacent Interests** (lifestyle/cultural):
- [Interest 1] - [connection to brand]
- [Interest 2] - [connection to brand]

### Lifestyle Characteristics

**Daily Life**:
- Morning routine: [description]
- Work/life balance: [description]
- Leisure time: [how they spend it]
- Social habits: [description]

**Aspiration Profile**:
- Who they aspire to be: [description]
- Brands they admire: [brands]
- Lifestyle they want: [description]

### Personality Traits

| Trait | Level | Impact on Content |
|-------|-------|-------------------|
| [Trait

skill-card.md

## Description:

Audience Mapper helps agents build audience profiles and niche-community dossiers for influencer planning, including demographic and psychographic profiles, platform priorities, personas, community culture, key-voice tiers, Brand Fit Score, and phased entry strategy.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing, influencer, and brand strategy teams use this skill at the start of an influencer program or new market entry to understand who the audience is, where they spend time online, which creators they trust, and what community norms or red lines should shape outreach.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Sensitive business, CRM, survey, sales, or customer inputs may appear in audience analysis or saved summaries.

Mitigation: Provide only necessary inputs, review generated deliverables for confidential details, and approve persistence only after redaction.

Risk: Audience and niche attributes may be inferred when live or first-party data is unavailable, which can lead to misleading targeting guidance.

Mitigation: Keep confidence labels visible and validate major campaign decisions against user-supplied data, social analytics, social listening, or first-party research.

Risk: Incorrect community language, norms, taboos, or red lines can create cultural missteps during outreach.

Mitigation: Use the culture decode, risk assessment, and phased listen-and-learn entry strategy before partnerships or active community engagement.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/aaron-he-zhu/skills/audience-mapper)
- [Publisher Profile](https://clawhub.ai/user/aaron-he-zhu)
- [Project Homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)
- [Audience Mapper Templates](references/templates.md)

## Skill Output:

**Output Type(s):** [text, markdown, guidance]

**Output Format:** [Markdown analysis, tables, criteria sets, and handoff summaries]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May write mode-specific deliverables and promote durable facts only after user confirmation.]

## Skill Version(s):

19.0.0 (source: server release and artifact frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

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  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
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  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
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  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

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