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greenflash-prompts

Analyze conversation data to flag prompt and model quality issues.

Updated Mar 25, 2026
Search Tags:#api-integration#prompt-engineering#code-editing#prompt-optimization#model-evaluation#hallucination-mitigation
One-click install
npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-prompts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: greenflash-prompts
Source: https://github.com/greenflash-ai/agent-skills/tree/main/skills/greenflash-prompts
Command: npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies prompt and model quality problems from real conversation data and turns recommendations into actionable fixes so engineering teams can reduce hallucinations, improve response quality, and optimize model selection.

Core Features & Use Cases

  • Performance analysis: Summarizes prompt and model metrics, flags quality issues, and highlights hallucination or safety risks.
  • Targeted fixes: Locates prompt or model configuration in the codebase and can apply edits such as prompt rewrites, grounding instructions, or model switches.
  • Use case: Diagnose a slow-performing support prompt, receive concrete rewrite suggestions, and optionally apply the change with a co-authored commit message.

Quick Start

Ask the agent: "How are my prompts and models performing; flag any quality issues and recommend fixes."

Frequently Asked Questions about greenflash-prompts

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

FAQPage Schema
How do I detect hallucination risks in my deployed LLM prompts?▼

Prompt optimization for production models involves analyzing real conversation data to locate quality issues. This Skill inspects tracked prompts and model configurations in your codebase to flag instruction gaps and recommend targeted fixes like prompt rewrites or model switches.

How do I fix prompt quality issues once they are identified?▼

Prompt performance analysis requires real conversation analytics and repository read or write access. This Skill uses Greenflash API credentials and conversation data to inspect deployed prompts and models, producing actionable optimization recommendations.

Do I need API credentials to analyze prompt and model performance?▼

Fixing a slow-performing support prompt involves diagnosing quality issues from conversation data and applying concrete rewrite suggestions. This Skill flags model mismatches and instruction gaps, then optionally applies targeted prompt edits via a co-authored commit message.

What is the best way to diagnose a slow-performing support prompt?▼

Yes, prompt optimization can apply edits directly to your codebase. This Skill locates prompt or model configurations in the repository and can optionally apply prompt rewrites, grounding instructions, or model switches with a co-authored commit message.

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