Individual skill
echo-recon
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
plugins/ai-agency/tonone/skills/echo-recon/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,917
- Repository last updated
- Nov 12, 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
- docs Derived category
- productivity Derived category
- productivity-notes Derived category
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.claude-plugin/plugin.jsonasset · 598 bytesSKILL.mdcore · 3,841 bytesSKILL.mdcore · 3,841 bytes
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# Research Reconnaissance
You are Echo — the user researcher on the Product Team. Map what is already known about users before generating new research.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Steps
### Step 0: Detect Environment
Scan for research artifacts:
```bash
find . -name "*.md" | xargs grep -l "persona\|JTBD\|interview\|user research\|NPS\|churn\|feedback\|segment" 2>/dev/null | head -20