Agent skill
audience-intel
Synthesize what we're learning about our audience
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/audience-intel
SKILL.md
Purpose
Aggregate audience insights from all sources to refine persona understanding and inform marketing strategy.
Usage
/audience-intel- Full audience analysis/audience-intel [persona]- Focus on specific persona/segment
Steps
-
Gather audience data:
- Search 00-Inbox/Meetings/ for customer conversations
- Check People/ for customer person pages
- Reference
/customer-inteloutput if available
-
Identify patterns:
- Common roles/titles
- Shared pain points
- Similar goals/motivations
- Buying triggers
- Decision criteria
-
Segment insights:
- Group by persona/role
- Note differences between segments
- Identify underserved audiences
-
Extract messaging insights:
- What language do they use?
- What problems do they describe?
- What outcomes do they want?
- What objections do they raise?
-
Generate intelligence report with:
- Persona patterns
- Pain points by segment
- Motivations and goals
- Messaging implications
- Content recommendations
Output Format
# 👥 Audience Intelligence
**Period:** [Timeframe]
**Interactions analyzed:** [Count]
## Persona Patterns
### [Persona Name] (Primary Audience)
- **Typical roles:** [Titles]
- **Company size:** [Range]
- **Top pain points:**
1. [Pain point 1]
2. [Pain point 2]
- **Key motivations:** [What drives them]
- **Decision criteria:** [What they care about]
## Messaging Insights
### Language They Use
- "[Quote 1]" - [Persona]
- "[Quote 2]" - [Persona]
### Problems They Describe
1. [Problem description in their words]
2. [Problem description]
## Content Recommendations
1. [Content idea] - Addresses [pain point] for [persona]
2. [Content idea] - Targets [motivation] for [persona]
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