Analyze user-agent conversations to classify intent and route to Greenflash sub-skills.
npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash
Please help me install this Agent Skill. Skill: greenflash Source: https://github.com/greenflash-ai/agent-skills/tree/main/skills/greenflash Command: npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash
Greenflash analyzes real user‑agent conversations to surface blockers, failures, and engagement drivers, letting teams quickly pinpoint why users are stuck or churn.
Ask the greenflash skill: “How are my products doing?”
High-intent search queries and answers about installing and using this skill.
To analyze user-agent conversations for blockers and churn drivers, the skill processes real chat data to classify intent and surface engagement failures. It routes queries to specialized sub-skills to pinpoint exactly why users are stuck.
Intent classification and routing for user-agent chat queries determines the user's question intent and forwards the request to specialized sub-skills such as health, inbox, users, prompts, or diagnose. This ensures conversations are analyzed by the correct workflow.
Yes, you need a Greenflash API key to query user-agent conversation insights. The skill requires this key to authenticate requests and uses the Greenflash Chat API to generate responses for general queries that do not match a predefined workflow.
To detect if the Greenflash SDK integration is missing in your codebase, the skill scans your product code for SDK imports and dependencies. It automatically prompts onboarding when it determines the required integration is absent.
You can maintain conversation state and context for follow-up chat queries using session management. The skill maintains conversation state, reuses conversation IDs for follow-ups, and resets context automatically when topics change.
For user-agent queries that do not match a predefined workflow, the skill falls back to the Greenflash Chat API for general query handling. This ensures unsupported questions still receive a response without breaking the conversation flow.
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