Agent Prompt Vault — 50 Production Prompts for AI Agents

50 battle-tested prompts for AI agents across operations, sales, content, research, support, developer tools. Copy-paste ready with model recommendations and cost estimates.

One-time payment

What You'll Get

Stop engineering prompts from scratch. This vault contains 50 battle-tested system prompts organized across 6 categories: operations, sales, content, research, customer support, and developer tools. Each prompt includes model recommendations (Claude vs. Groq cost/quality tradeoffs), expected output formats, real-world cost estimates, and examples of good and bad outputs. Copy-paste into CrewAI, LangChain, LangGraph, or feed directly to any LLM API. Use as-is or customize with your company context.

What You Get

Operations Prompts (10) — Ticket classification, workflow optimization, meeting summarization, expense approval, inventory management, shift scheduling, data migration, compliance checking, error handling, capacity planning
Sales Prompts (8) — Lead qualification, outreach email generation, objection handling, deal closing, contract analysis, pricing recommendations, competitive research, customer segmentation
Content Prompts (10) — Blog post generation, newsletter design, social media captions, video scripts, whitepaper outlines, case study writing, product descriptions, press releases, landing pages, content repurposing
Research Prompts (7) — Market trend analysis, competitive intelligence gathering, customer research interviews, sentiment analysis, data synthesis, report generation, patent research
Customer Support Prompts (8) — FAQ generation, escalation identification, response templates, sentiment detection, troubleshooting guides, refund evaluation, NPS analysis, churn prediction
Developer Tools Prompts (7) — Code review, bug analysis, documentation generation, SQL optimization, test case generation, architecture design, refactoring suggestions

How to Use

Download and extract the vault (50 prompt files + INDEX.md)
Open INDEX.md to find a prompt matching your use case
Read the prompt file — it includes: instructions, output format, quality standards, model recommendation, cost estimate
Copy the prompt text into your agent system prompt OR pass to LLM directly
Customize variables: replace {{COMPANY_NAME}}, {{PRODUCT}}, {{INDUSTRY}} with your context
Choose recommended model: Claude for quality (higher cost), Groq for speed (faster, cheaper)
Test with sample data and iterate based on results