Gemini Prompts

You are a distributed systems architect. Create a migration plan to break [monolith application description] into microservices. Team: [X engineers]. Timeline: [X months]. Current stack: [describe]. Target architecture goal: [scalability/team autonomy/deployment independence]. Migration strategy: 1) Domain Analysis — apply Domain-Driven Design to identify bounded contexts and natural service seams, 2) Dependency Map — identify tight couplings that make extraction hardest, 3) Migration Order — which services to extract first (start with least coupled, highest value), 4) Strangler Fig Pattern — how to run old and new side by side during transition, 5) Data Migration Strategy — how to break up the shared database (most dangerous part — address specifically), 6) Inter-service Communication — synchronous (REST/gRPC) vs asynchronous (events) decision framework for each service boundary, 7) Phase Plan — 4 phases with milestones and rollback criteria, 8) Org Design — team topology alignment with service architecture. Anti-patterns to avoid: distributed monolith, chatty services, shared database.

You are a FinOps engineer and cloud cost optimization specialist. Conduct a cloud cost optimization audit for [company] spending approximately $[monthly spend] on [AWS/GCP/Azure]. Known architecture: [describe major services and usage patterns]. Cost optimization analysis: 1) Waste Identification — idle resources, unattached volumes, unused IPs, oversized instances, forgotten snapshots, 2) Right-Sizing Analysis — EC2/VM instance type optimization using CPU/memory utilization data, 3) Commitment Discounts — Reserved Instances vs Savings Plans vs Committed Use — calculate break-even for this workload, 4) Storage Optimization — S3/GCS lifecycle policies, tiering strategy, snapshot cleanup, 5) Data Transfer Costs — the most expensive and avoidable data transfer patterns, 6) Architecture Optimization — spot instances for appropriate workloads, serverless candidates, 7) Tagging Strategy — cost allocation tagging standard to implement. Projected savings: calculate 3-month, 6-month, 12-month savings potential. Build a prioritized action plan by effort vs savings impact.

You are a senior engineering consultant performing a technical debt audit. Analyze the following codebase description and architecture diagram and produce a structured Technical Debt Report. Sections: 1) Executive Summary — overall debt level (Low/Medium/High/Critical) and top 3 risks if unaddressed, 2) Debt Inventory — categorize debt as: Code Quality, Architectural, Dependency, Test Coverage, Documentation, Security, 3) For each item: description, business impact (what will break or slow down), effort to fix (S/M/L/XL), recommended priority (P1-P4), 4) Debt Payback Roadmap — a phased 6-month plan balancing new feature work with debt reduction, 5) "Buy vs Build vs Deprecate" recommendation for the 2 most expensive components. Codebase context: [describe your tech stack, team size, codebase age, and known pain points].

You are a software modernization consultant. I need to migrate a legacy [language/framework, e.g., PHP 5.6 monolith] to [target stack, e.g., Node.js microservices]. Codebase size: ~[X] lines of code. Team size: [N] engineers. Timeline: [X months]. Create a migration plan: 1) Risk Assessment — identify the top 5 migration risks and mitigation strategies, 2) Strangler Fig Pattern — how to run old and new systems in parallel, 3) Phase Breakdown — 3-4 phases with goals, deliverables, and definition of done, 4) Database Migration Strategy — how to handle schema changes without downtime, 5) Testing Strategy — how to ensure behavioral parity, 6) Rollback Plan — what to do if phase N fails. Highlight the 3 decisions that will most impact success.

You are a test-driven development expert. Write comprehensive unit tests for this [language] function. Cover: happy path, edge cases, null/empty inputs, boundary values, and error scenarios. Use [testing framework]. Include: test description, setup, the test itself, and teardown where needed. Aim for 90%+ branch coverage. [PASTE FUNCTION]

You are a short-term rental (Airbnb/VRBO) investment analyst. Analyze the STR market opportunity for [city/neighborhood]. Property: [describe type, bedrooms, location specifics]. Analysis: 1) Market Overview — using current STR data, what is the average daily rate, occupancy rate, and RevPAR for comparable properties in this market?, 2) Revenue Projection — build a 12-month revenue projection with seasonal occupancy variation, 3) Expense Breakdown — STR-specific costs (platform fees, cleaning per turn, supplies, utilities, furnishing amortization, local taxes), 4) Net Operating Income vs long-term rental comparison, 5) Regulatory Risk Assessment — current STR regulations, permit requirements, and risk of future restrictions in this market, 6) Competitive Analysis — supply trends (is the market saturating?), 7) Investment Decision — rate as STR Favorable/Marginal/Avoid with specific reasoning, 8) Setup Budget — estimated all-in setup cost for a guest-ready STR at this price point. Data sources: use AirDNA, STR Insights, and local municipal data where available.

You are a product marketing manager with access to current market research. Analyze the competitive landscape for [our product] in [market/industry] as of 2026. Step 1: Search for and identify 5 key competitors. Step 2: Build a positioning matrix across these dimensions: pricing tier, primary use case, key differentiator, target customer segment, and main weakness. Step 3: Identify the 'white space' — positioning our product can own uniquely. Step 4: Draft a 2-sentence positioning statement using the formula: 'For [target customer] who [need], [product] is the [category] that [key benefit], unlike [competitor] who [key contrast].' Our product's key strengths: [list them].

You are an expert analyst. Analyze this document by identifying its purpose, extracting 5 key findings, listing action items, flagging risks or dissenting opinions, and providing a 1-paragraph synthesis explaining why the document matters. [PASTE DOCUMENT]

You are a market entry strategist. I want to expand [company/product] into [target market: country or segment]. Current market: [existing market]. Product: [describe]. Using available market research, develop: 1) Market Sizing — TAM/SAM/SOM with methodology, 2) Competitive Landscape — top 3-5 local and global players, their positioning and weaknesses, 3) Entry Mode Analysis — evaluate 4 options: organic build, partnership, acquisition, franchise/licensing — recommend one with reasoning, 4) Go-to-Market Plan — first 90 days step by step, 5) Regulatory & Cultural Considerations — top 3 barriers and mitigations, 6) Success Criteria — KPIs for month 3, 6, 12. Budget range: $[amount]. Team: [describe available resources].

You are a research methodology expert. I am writing a literature review on [research topic] for [academic level: undergraduate/graduate/PhD]. I will paste [X] sources below. Your task: 1) Identify the 3-5 major themes that recur across these sources, 2) Identify where sources agree, where they disagree, and where there are contradictions, 3) Spot the 'research gap' — what has not been studied that my research could address?, 4) Create a thematic outline for my literature review (not source-by-source, but theme-by-theme), 5) Write one paragraph for the strongest theme demonstrating proper academic synthesis (cite sources as Author, Year). Note: Do not plagiarize — synthesize and paraphrase. [PASTE ABSTRACTS OR EXCERPTS]

You are a competitive intelligence analyst. Compile a structured competitive intelligence report on [competitor name] for [our company] in [industry]. Using publicly available information searchable online, research and populate: 1) Company Overview — size, revenue estimate, funding history, key executives, recent hires (signals of direction), 2) Product Intelligence — features, pricing, recent launches, known limitations (from review sites), 3) Marketing Intelligence — primary channels, messaging themes, top content, ad strategy, 4) Customer Intelligence — who they target, customer complaints (from G2/Capterra/Reddit), NPS indicators, 5) Strategic Intelligence — announced partnerships, M&A activity, patent filings, hiring patterns as strategy signals, 6) Vulnerability Map — their 3 biggest exploitable weaknesses, 7) Recommended Countermeasures — how we should respond to each threat they pose. Update frequency recommendation: [quarterly/monthly].

You are a market research lead. Analyze the [industry] for the year 2026. Identify: 1) 3 emerging consumer behaviors, 2) 2 disruptive technologies, 3) Potential regulatory headwinds. Support each point with a hypothetical case study of how a leading company would respond. Use current search data if available.

You are a total rewards consultant. Build a compensation and leveling framework for [company] in the [industry] space. Company stage: [startup Series A / scale-up / enterprise]. Team size: [X people]. Key roles to level: [list 3-5 role families]. Framework deliverables: 1) Career ladders — define 3-5 levels per role family with title, level number, and a crisp definition of the scope of impact at each level, 2) Compensation bands — for each level, define a salary band structure (percentile targets: 50th/65th/75th of market) and explain the pay philosophy, 3) Equity framework — vesting schedule, cliff, refresh grants policy, 4) How to determine where a candidate slots in — leveling rubric with 3-4 dimensions (scope, complexity, autonomy, impact), 5) Promotion criteria — what does a promotion require beyond time in role? Search for current 2026 market data for [key roles] in [geography] to anchor the ranges.

You are a supply chain risk analyst. Conduct a supply chain risk assessment for [company type] in [industry]. Using current market intelligence: 1) Map the supply chain tiers — for a company in this industry, describe the typical Tier 1, Tier 2, and Tier 3 supplier landscape, 2) Risk Identification — identify the top 10 supply chain risks across categories: geographic concentration, single-source dependencies, geopolitical risks, climate/natural disaster exposure, cyber vulnerabilities in vendor systems, and financial stability risks, 3) For each risk: likelihood (H/M/L), impact (H/M/L), and current industry benchmark for mitigation, 4) Resilience Strategies — for each high-priority risk, recommend a specific resilience strategy (dual sourcing, nearshoring, inventory buffers, contractual protections), 5) Early Warning Indicators — what signals to monitor for each top risk, 6) Recommended supply chain KPIs for an ongoing risk dashboard. Company specifics: [key products, key supplier countries, supply chain visibility current state].