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greenflash-ai
greenflash-aiOFFICIAL
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greenflash-users

Analyze user conversation data to identify behavior patterns, frustration, and churn risk.

Updated Mar 25, 2026
Search Tags:#conversation analysis#triage#user behavior#churn#segments#user analytics#greenflash
One-click install
npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-users
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: greenflash-users
Source: https://github.com/greenflash-ai/agent-skills/tree/main/skills/greenflash-users
Command: npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-users

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Help product and support teams find and prioritize users who are frustrated, at risk of churning, or driving value by analyzing real conversation data and surfacing segment health and notable individuals.

Core Features & Use Cases

  • Segment health summaries: Identify which segments are healthiest and which show the most friction or negative sentiment.
  • Individual user insights: Lookup a user by email, name, or ID to see sentiment, engagement history, segment memberships, and notable conversation excerpts.
  • Segment creation & cohort analysis: Translate natural language segment descriptions into filter rules, create segments, compare cohorts, and surface users that need triage.
  • Use Case: Find enterprise users with repeated frustration signals, create a segment for them, and prioritize outreach or product fixes.

Quick Start

Ask the skill: Give me an overview of my user segments, highlighting the healthiest segments and any users who need attention.

Frequently Asked Questions about greenflash-users

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify frustrated users from conversation data to prevent churn?▼

Analyze user conversation data to identify behavior patterns, frustration signals, and churn risk. This process surfaces segment health summaries and highlights specific individuals needing attention based on real interactions.

How do I create user segments from natural language descriptions for cohort analysis?▼

Create user segments by translating natural language descriptions into filter rules. This allows you to build cohorts for comparative analysis, surface users needing triage, and track segment health across your user base.

Can I look up individual user sentiment and engagement history by email or ID?▼

Yes, individual user lookups are supported via email, name, or ID. The system retrieves sentiment, engagement history, segment memberships, and notable conversation excerpts to support product analytics and support triage.

Do I need a Greenflash API key to analyze user behavior and stream chat responses?▼

Yes, a Greenflash API key is required. The skill connects to the Greenflash API to stream chat responses over SSE, retrieve conversation details via REST, respect plan gating and rate limits, and support segment creation.

What is the best way to compare user cohorts and find enterprise accounts with high friction?▼

Translate natural language segment descriptions into filter rules to create segments, then compare cohort health summaries. This surfaces enterprise users with repeated frustration signals, allowing prioritization of outreach or product fixes.

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