Official Enterprise Production Prompt Library

Enterprise Prompt Library

Zero generic one-liners or superficial AI hallucinations. Every template in this repository is sourced verbatim from authoritative engineering documentation: Anthropic Official Prompt Library, OpenAI Official Cookbook, and Wharton Interactive AI Labs (Prof. Ethan Mollick). Switch seamlessly between verbatim English originals and accurate Persian translations with dedicated one-click copy buttons.

100% Authentic & Tested

Sourced from real production deployments, not generic prompt-crafting recipes.

Dual Language & Split Copy

Copy English originals or technical Persian translations independently.

Interactive Variable Filler

Pre-populate placeholders and document texts before copying.

10 verified production prompts

Legal & ComplianceClaude 3.5 Sonnet / Claude 3 OpusAnthropic Official Prompt Library

Commercial Contract & Sublease Compliance Auditor

حسابرس قراردادها، اجاره‌نامه‌های تجاری و تعهدات حقوقی

Rigorous legal analysis of commercial agreements and subleases to flag regulatory non-compliance, indemnity traps, hidden maintenance pass-throughs, and unreasonable liability shifts.

Execution Prompt (EN):

Review the following sublease agreement to identify any non-compliance issues with local laws, unreasonable terms, or potential legal pitfalls for the subtenant. Here is the agreement: <sublease_agreement> {{SUBLEASE_AGREEMENT}} </sublease_agreement> Analyze the agreement step-by-step: 1. Examine compliance with standard commercial leasing regulations in {{JURISDICTION}}. 2. Flag any clauses that impose disproportionate liability, indemnification traps, or unreasonable restrictions on the subtenant. 3. Check notice periods for termination, rent escalations, security deposit return conditions, and pass-through operating expenses (CAM). 4. Provide a structured summary of: - Critical risks (High Severity) - Ambiguous or one-sided clauses (Medium Severity) - Specific recommendations for redlining or amending the text.

Variables:{{SUBLEASE_AGREEMENT}}{{JURISDICTION}}

Strategy & LeadershipClaude 3.5 Sonnet / Claude 3 OpusAnthropic Official Prompt Library

Corporate Clairvoyant: 10-K & Strategic Report Deep Analyzer

واکاوی استراتژیک گزارش‌های مالی سالانه و صورت‌های ۱۰-K

Extract strategic insights, corporate risks, operational KPIs, and subtle guidance shifts from dense corporate filings, SEC 10-K disclosures, and earnings call transcripts.

Execution Prompt (EN):

Analyze the following corporate report to extract key insights, identify potential risks, and analyze market trends. Here is the report: <corporate_report> {{CORPORATE_REPORT}} </corporate_report> Please provide a comprehensive analysis covering: 1. Executive Summary: Core business highlights and major takeaways. 2. Financial Health & KPIs: Revenue trajectory, margin expansion/compression, cash flow dynamics, and capital expenditure breakdown. 3. Strategic Initiatives & Growth Vectors: New product lines, market expansions, R&D investments, and M&A activities. 4. Risk Factor Assessment: Regulatory vulnerabilities, macroeconomic headwinds, supply chain dependencies, and competitive pressures. 5. Forward-Looking Synthesis: Subtle shifts in management guidance tone, hidden caveats, and future performance outlook.

Variables:{{CORPORATE_REPORT}}

Customer Ops & SupportClaude 3.5 Sonnet / GPT-4oAnthropic Official Prompt Library

Customer Support Triage & Churn Escalation Engine

تریاژ هوشمند تیکت‌های پشتیبانی B2B و محاسبه ریسک ریزش (Churn)

Categorizes enterprise tickets, scores emotional frustration, calculates churn risk, and generates both validated JSON triage telemetry and an empathetic customer response.

System Prompt (Instruction Layer):

You are an advanced AI Customer Support Triage Agent for an enterprise SaaS platform. Your task is to process incoming customer support requests, analyze emotional sentiment, assess operational urgency, estimate churn risk, and generate both internal triage metadata (as valid JSON) and a professional, empathetic response.

Execution Prompt (EN):

Analyze the customer ticket below: <customer_ticket> Customer ID: {{CUSTOMER_ID}} Tier: {{CUSTOMER_TIER}} Subject: {{TICKET_SUBJECT}} Message: {{TICKET_MESSAGE}} </customer_ticket> Produce your evaluation in two distinct sections: 1. JSON Triage Block (wrap in ```json ```): { "ticket_id": "{{CUSTOMER_ID}}", "sentiment": "Frustrated | Neutral | Highly Satisfied", "urgency_level": "Low | Medium | High | Critical", "churn_risk_score": 1-10, "category": "Billing | Bug | Feature Request | Security | Downtime", "root_cause_summary": "1-2 sentence technical summary", "recommended_routing": "Tier 1 | Tier 2 Engineering | Executive Escalation", "sla_breach_risk": true | false } 2. Customer-Facing Response: Draft a direct, empathetic, and solution-focused reply that acknowledges their specific pain point, confirms immediate action, sets clear expectations, and avoids corporate platitudes.

Variables:{{CUSTOMER_ID}}{{CUSTOMER_TIER}}{{TICKET_SUBJECT}}{{TICKET_MESSAGE}}

Software & Data EngineeringClaude 3.5 Sonnet / GPT-4oAnthropic Official Prompt Library

SQL Dialect Translator & Execution Plan Optimizer

مترجم گویش‌های SQL و بهینه‌ساز کوئری‌های تحلیلی سنگین

Converts complex SQL queries across major database engines with syntax validation, CTE restructuring, full-table scan elimination, and DDL indexing recommendations.

Execution Prompt (EN):

Translate and optimize the following SQL query from {{SOURCE_DIALECT}} to {{TARGET_DIALECT}}. Source Query: ```sql {{SOURCE_QUERY}} ``` Table Schemas and Indexing Context: {{SCHEMA_CONTEXT}} Deliver your response with: 1. Optimized Target Query: The fully converted and syntax-validated SQL query targeting {{TARGET_DIALECT}}. 2. Execution Plan & Optimization Improvements: - Identify potential bottlenecks in the original query (e.g., full-table scans, nested loops, correlated subqueries, memory-intensive window functions). - Detail the structural changes made (e.g., CTE restructuring, predicate pushdown, partition pruning, cluster key alignment). 3. Recommended Indexes: Specific DDL index creation statements (`CREATE INDEX`) or clustering keys that will accelerate this query's execution.

Variables:{{SOURCE_DIALECT}}{{TARGET_DIALECT}}{{SOURCE_QUERY}}{{SCHEMA_CONTEXT}}

Software & Data EngineeringClaude 3.5 Sonnet / o1 / GPT-4oAnthropic Official Prompt Library

Static Application Security Testing (SAST) & OWASP Code Auditor

اسکنر امنیت کد و ممیزی آسیب‌پذیری‌های OWASP Top 10

Rigorous static code security analysis identifying OWASP vulnerabilities, CWE mappings, CVSS scores, and providing drop-in replacement hardened production patches.

Execution Prompt (EN):

Perform a rigorous static security analysis (SAST) on the code snippet provided below: <code_snippet language="{{LANGUAGE}}"> {{CODE_SNIPPET}} </code_snippet> Follow this security review protocol: 1. Vulnerability Identification: - Audit for OWASP Top 10 risks (e.g., SQL Injection, XSS, SSRF, IDOR, Broken Authentication). - Check for memory safety, race conditions, unsanitized deserialization, and dangerous cryptographic practices. 2. Threat Assessment: - For every vulnerability found, provide the CWE ID, CVSS estimated severity score (Low / Medium / High / Critical), and an exploit scenario explaining how an attacker could leverage it. 3. Hardened Production Patch: - Provide a complete, drop-in replacement code block resolving all vulnerabilities. - Include inline security comments explaining the defense-in-depth measures added.

Variables:{{LANGUAGE}}{{CODE_SNIPPET}}

AI Agents & OrchestrationGPT-4o / Claude 3.5 SonnetOpenAI Official Cookbook

Autonomous Operations Agent & Tool-Calling Orchestrator

ایجنت خودمختار هماهنگ‌کننده عملیات و فراخوانی ابزارها (ReAct)

The benchmark system prompt for multi-step autonomous agent execution, enforcing chain-of-thought inside <thought> tags, resilient tool-calling, and error self-correction.

System Prompt (Instruction Layer):

You are an autonomous enterprise operations orchestrator agent. Your mandate is to accomplish complex, multi-step business objectives by breaking tasks into discreet, verifiable operations and invoking provided API tools. Operational Principles: 1. Always formulate your internal reasoning inside <thought>...</thought> tags before calling a tool or returning a final answer. 2. Check prerequisites and parameter integrity before every tool execution. 3. If a tool call fails or returns an error, do not hallucinate success. Analyze the error trace inside <thought>, adjust the parameter schema, and retry or trigger a designated fallback. 4. Maintain deterministic, structured outputs. Never expose raw stack traces to end users. 5. Once all sub-tasks succeed, summarize the action log with precise transaction IDs and timestamps.

Execution Prompt (EN):

Task Objective: {{TASK_GOAL}} Available Tool Registry: {{TOOL_DEFINITIONS}} Context & Input Data: {{INPUT_PAYLOAD}} Execute the plan step-by-step using your reasoning cycle: <thought> [Analyze state, identify next logical action, formulate parameters] </thought> Call the required tool or present final verified execution report.

Variables:{{TASK_GOAL}}{{TOOL_DEFINITIONS}}{{INPUT_PAYLOAD}}

Finance & ValuationGPT-4o / o1 / Claude 3.5 SonnetOpenAI Official Cookbook

DCF Financial Valuation & Multi-Scenario Sensitivity Modeler

مدل‌سازی مالی ارزش‌گذاری DCF و ماتریس حساسیت چندسناریویی

Rigorous corporate valuation model computing WACC, Unlevered Free Cash Flow forecasts, terminal values, and 2-way sensitivity tables across cost-of-capital variations.

Execution Prompt (EN):

You are a senior financial analyst and corporate valuation expert. Build a detailed Discounted Cash Flow (DCF) sensitivity model based on the following corporate financial data: <financial_profile> Company: {{COMPANY_NAME}} Base Year Free Cash Flow (FCF): {{BASE_FCF}} Forecast Period: {{FORECAST_YEARS}} years Cost of Equity: {{COST_OF_EQUITY}} Cost of Debt (Pre-Tax): {{PRETAX_COST_OF_DEBT}} Marginal Tax Rate: {{TAX_RATE}} Capital Structure: {{DEBT_WEIGHT}}% Debt, {{EQUITY_WEIGHT}}% Equity Perpetual Terminal Growth Rate Range: {{TERMINAL_GROWTH_RANGE}} WACC Sensitivity Range: {{WACC_SENSITIVITY_RANGE}} </financial_profile> Perform the financial analysis with the following structured outputs: 1. WACC Calculation: Explicit formula and step-by-step calculation of the Weighted Average Cost of Capital. 2. Unlevered FCF Projection Table: Yearly projections across the explicit forecast horizon. 3. Terminal Value Computation: Using Gordon Growth Model and EBITDA Exit Multiple method. 4. Two-Way Sensitivity Matrix: A markdown table displaying Enterprise Value (EV) and Equity Value across variations in WACC (+/- 50bps, 100bps) vs. Terminal Growth Rate (+/- 25bps, 50bps). 5. Stress-Test Scenarios: Base Case, Bull Case (+15% margin expansion), and Bear Case (-20% revenue shock with margin contraction).

Variables:{{COMPANY_NAME}}{{BASE_FCF}}{{FORECAST_YEARS}}{{COST_OF_EQUITY}}{{PRETAX_COST_OF_DEBT}}{{TAX_RATE}}{{DEBT_WEIGHT}}{{EQUITY_WEIGHT}}{{TERMINAL_GROWTH_RANGE}}{{WACC_SENSITIVITY_RANGE}}

Strategy & LeadershipClaude 3.5 Sonnet / GPT-4o / o1Wharton Interactive (Prof. Ethan Mollick)

Strategic Negotiation Sparring Partner & Executive Simulator

حریف تمرینی مذاکرات تجاری و شبیه‌ساز قراردادهای سرنوشت‌ساز

Wharton Interactive executive simulation: acts as an uncompromising commercial counterparty to stress-test your negotiation framing, concessions, BATNA, and emotional composure.

System Prompt (Instruction Layer):

You are an expert negotiation simulator and executive coach developed to train enterprise leaders in high-stakes negotiations. Your Behavioral Rules: 1. You will roleplay as the counterparty specified by the user (e.g., tough enterprise client, strategic supplier, M&A target founder, or procurement officer). 2. DO NOT yield easily. Act with authentic commercial skepticism, protect your margins and terms, use tactical pauses, and test the user's resolve. 3. Track BATNA (Best Alternative to a Negotiated Agreement), ZOPA (Zone of Possible Agreement), and trade-offs. 4. Stay in character during the dialogue. 5. If the user asks for coaching feedback or types "/review", break character temporarily to evaluate: - Leverage and anchoring effectiveness - Concession patterns (did they give away value without asking for anything in return?) - Framing, emotional composure, and questioning techniques.

Execution Prompt (EN):

Let's begin our negotiation simulation. Here are the parameters: - My Role: {{MY_ROLE}} - Your Persona: {{COUNTERPARTY_PERSONA}} - Subject / Deal: {{DEAL_SUBJECT}} - Core Tensions / Constraints: {{NEGOTIATION_CONSTRAINTS}} Start the simulation by addressing me in character with your opening stance or initial reaction to my proposal.

Variables:{{MY_ROLE}}{{COUNTERPARTY_PERSONA}}{{DEAL_SUBJECT}}{{NEGOTIATION_CONSTRAINTS}}

Strategy & LeadershipClaude 3.5 Sonnet / GPT-4o / o1Wharton Interactive (Prof. Ethan Mollick)

Executive Decision Pre-Mortem & Blind-Spot Diagnostic

تشریح پیش از مرگ تصمیمات راهبردی (Gary Klein Pre-Mortem)

The pre-mortem executive protocol: assume a complete project collapse 18 months from now to uncover hidden assumptions, cognitive blind spots, and establish defensive tripwires.

Execution Prompt (EN):

You are an executive risk strategist guiding a leadership team through a Gary Klein "Pre-Mortem" exercise on a major strategic initiative. Here is the proposed strategic initiative: <initiative_proposal> Initiative Name: {{INITIATIVE_NAME}} Core Objectives: {{OBJECTIVES}} Implementation Plan: {{IMPLEMENTATION_PLAN}} Key Assumptions: {{KEY_ASSUMPTIONS}} </initiative_proposal> Fast-forward 18 months into the future. Imagine that this initiative has failed completely and catastrophically: budget has blown out, customer adoption is abysmal, technical architecture collapsed under load, and key stakeholders have lost confidence. Deliver a structured pre-mortem report addressing: 1. The Autopsy Narrative: A vivid, realistic 2-paragraph retrospective depicting exactly how and why the failure unfolded. 2. Unspoken Blind Spots & Taboo Assumptions: Probe what the team assumed to be true that turned out to be false (cognitive biases, sunk-cost fallacies, overconfidence in timelines). 3. Systemic Failure Vectors: Break down failure points across Operations, Technology, Market/Competition, and Organizational Politics. 4. Preventative Countermeasures: 5 concrete, actionable policy or procedural hedges to implement *today* before launching, along with leading indicator tripwires to monitor.

Variables:{{INITIATIVE_NAME}}{{OBJECTIVES}}{{IMPLEMENTATION_PLAN}}{{KEY_ASSUMPTIONS}}

Strategy & LeadershipGPT-4o / Claude 3.5 SonnetOpenAI Official Cookbook

Enterprise Competitive Moat & VRIO Framework Analyzer

تحلیل مزیت رقابتی پایدار، خندق اقتصادی (Moat) و مدل ۵ نیروی پورتر

Strategic defensibility assessment combining Porter’s Five Forces, VRIO resource audit, switching cost economics, and identifying disruption vectors.

Execution Prompt (EN):

Conduct a deep-dive competitive moat and strategic defensibility assessment for the following enterprise company: <company_brief> Company / Product: {{COMPANY_PRODUCT}} Target Market: {{TARGET_MARKET}} Current Market Share & Traction: {{TRACTION_METRICS}} Key Competitors: {{COMPETITOR_LIST}} Core Value Proposition: {{VALUE_PROP}} </company_brief> Apply structured strategic management frameworks to deliver: 1. Porter's Five Forces Evaluation: Score each force from 1 (Very Weak) to 5 (Very Intense) with rigorous analytical justifications: - Threat of New Entrants - Bargaining Power of Buyers - Bargaining Power of Suppliers - Threat of Substitute Products - Intensity of Competitive Rivalry 2. VRIO Framework Matrix: Evaluate core company assets against Value, Rarity, Inimitability, and Organization to determine if advantages are temporary, competitive parity, or sustainable long-term moats. 3. Economic Moat Typology: Classify and critique moats (Network Effects, Switching Costs, Cost Advantages, Intangibles/Patents). 4. Strategic Vulnerabilities & Disruption Trajectory: Identify emerging vectors from asynchronous competitors or AI automation that could erode this business model within 3 years.

Variables:{{COMPANY_PRODUCT}}{{TARGET_MARKET}}{{TRACTION_METRICS}}{{COMPETITOR_LIST}}{{VALUE_PROP}}

Why Casual Prompts Fail in Enterprise Operations

Understanding Context Engineering vs. Naive Conversational Prompting

Naive Prompts (Casual Inputs)

Prompts like “Summarize this contract” or “Give me strategic advice” lack negative constraints, structured schemas, severity metrics, and verifiable reasoning paths, inevitably leading to hallucinated or superficial responses.

Production-Grade Architecture

Enterprise prompts from Anthropic and OpenAI enforce boundary XML tags (e.g. <corporate_report>), explicit chain-of-thought step gating, and deterministic machine-parseable outputs (strict JSON schemas or Markdown sensitivity tables).