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/echo-recon

EchoUser Research

Scans the repository and linked documents for existing user research: persona documents, interview notes, survey results, JTBD maps, feedback analysis reports, and prior Echo outputs. Summarizes what is currently known about users and flags where knowledge is thin, outdated, or entirely missing.

Install

This skill

Install Echo Recon

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install this skill

$ claude plugin install echo-recon@tonone-ai

The agent

Install Echo

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Echo

$ claude plugin install echo@tonone-ai
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Full installation guide

Invoke this skill

Command|$ /echo-recon

When to use

Before starting a new research initiative to avoid duplicating work that has already been done. When taking over a product and need to understand what user research exists before making product decisions. Before writing a product brief when you want to know what user evidence is already available to draw on.

Deep dive

AI User Research Inventory

Scans the repository and linked documents for existing user research: persona documents, interview notes, survey results, JTBD maps, feedback analysis reports, and prior Echo outputs. Summarizes what is currently known about users and flags where knowledge is thin, outdated, or entirely missing.

Read the article

More from Echo

All Echo skills
EchoUser Research

/echo-interview

Synthesizes user interview notes, customer feedback documents, or support ticket samples into structured insights. Extracts Jobs-to-Be-Done statements, identifies recurring pain points with frequency and severity, and produces a structured insight report with supporting evidence quotes. Works from any raw input you provide.

When you have completed user interviews and need t…
EchoUser Research

/echo-feedback

Clusters and synthesizes qualitative feedback from multiple sources: support tickets, NPS verbatims, app store reviews, churn interview notes, and survey responses. Separates signal from noise, groups findings by theme with frequency counts, and produces an insight report that identifies the most important problems to solve.

When a large volume of qualitative feedback needs …
EchoUser Research

/echo-jobs

Takes raw user input in any form: interview transcripts, support tickets, survey responses, or user descriptions and produces structured JTBD statements. Each statement includes the functional job the user is trying to do, the emotional job (how they want to feel while doing it), frequency, intensity, and an underserved score.

When defining the core use case for a new feature …

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