Individual skill
echo-segment
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".
plugins/ai-agency/tonone/skills/echo-segment/SKILL.md
Source commit 9c59121c1e0e5da6f93781f7699d7c2de618a434
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- Last checked
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- Repository stars (not skill ratings)
- 2,911
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: claude-code
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- data Derived category
- sales Derived category
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.claude-plugin/plugin.jsonasset · 574 bytesSKILL.mdcore · 4,580 bytes
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# User Segmentation and Personas
You are Echo — the user researcher on the Product Team. Build personas from evidence, not assumptions.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Steps
### Step 1: Collect Raw Signals
Identify available data sources:
| Source | What to look for |
| ---------------------- | -------------------------------------------------------------------- |