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Create a professional README.md for an open-source project. Essential sections: 1. Project title with logo and badges (build status, version, license). 2. One-line description and key features. 3. Installation instructions with code blocks. 4. Quick start guide with minimal example. 5. API reference or usage documentation. 6. Contributing guidelines and code of conduct link. 7. License and acknowledgments. Use clear formatting, screenshots, and GIFs for visual appeal.

Write a compelling B2B case study using the STAR method. Structure: 1. Situation (Client background and initial challenge). 2. Task (Specific goals and constraints). 3. Action (Your solution with implementation details). 4. Result (Quantifiable outcomes with before/after metrics). Include direct quotes from the client, visual data representations, and a clear call-to-action. Optimize for sales enablement and website conversion. Length: 800-1200 words.

Draft a winning grant proposal for nonprofit funding. Components: 1. Executive Summary (compelling 1-page overview). 2. Statement of Need (data-driven problem definition). 3. Project Description (goals, methods, timeline). 4. Budget Justification (itemized with rationale). 5. Organizational Capacity (credentials, past success). 6. Evaluation Plan (measurable outcomes). Use persuasive but factual language. Include appendices for supporting documents. Tailor to funder's priorities.

Optimize a blog post for search engines and readability. Checklist: 1. Target keyword in H1, first paragraph, and URL slug. 2. Use semantic keywords and LSI terms naturally. 3. Structure with H2/H3 subheadings every 300 words. 4. Add internal links to 3-5 related posts. 5. Include meta description (155 chars) and alt text for images. 6. Aim for 1500-2500 words with Flesch reading score 60+. Provide content brief template with search intent analysis.

Create a comprehensive PRD (Product Requirements Document) template. Sections: 1. Executive Summary (Problem, Solution, Success Metrics). 2. User Stories and Personas. 3. Functional Requirements (Must-have vs Nice-to-have). 4. Technical Constraints and Dependencies. 5. Success Criteria and KPIs. 6. Timeline and Milestones. 7. Open Questions and Risks. Use clear, unambiguous language. Include wireframes placeholders and acceptance criteria for each requirement.

Design a 7-day user onboarding email drip campaign. Email 1: Welcome + Quick Win (Day 0). Email 2: Feature highlight with video tutorial (Day 1). Email 3: Use case story from similar customer (Day 3). Email 4: Tips and tricks for power users (Day 5). Email 5: Invitation to community/webinar (Day 7). Each email should have a single clear CTA, personalized greeting, and mobile-optimized formatting. Include A/B test variations for subject lines.

Write high-converting copy for a SaaS landing page. Structure: 1. Hero headline using the 'outcome + timeframe' formula. 2. Subheadline addressing the main pain point. 3. Three benefit-focused feature blocks (not feature-focused). 4. Social proof section with specific metrics. 5. Two CTAs: primary (Start Free Trial) and secondary (Watch Demo). Use power words, active voice, and address objections preemptively. Target B2B decision-makers.

Create comprehensive API documentation for a RESTful service. Sections to include: 1. Authentication methods (API key, OAuth 2.0). 2. Endpoint reference with HTTP methods, parameters, and response schemas. 3. Code examples in Python, JavaScript, and cURL. 4. Error codes and troubleshooting guide. 5. Rate limiting and best practices. Use OpenAPI/Swagger spec format with interactive examples. Ensure clarity for both beginner and advanced developers.

Reduce BigQuery costs for a high-volume analytics workload. Strategies: 1. Partition tables by date and cluster by high-cardinality columns. 2. Use materialized views for frequently-run aggregations. 3. Implement query result caching and avoid SELECT *. 4. Set up cost controls with custom quotas per project. 5. Analyze query execution plans to identify expensive operations. Provide before/after cost comparison and ROI calculation. Include monitoring dashboard for ongoing cost tracking.

Build an anomaly detection system for transaction fraud. Approach: 1. Use Isolation Forest for unsupervised outlier detection. 2. Engineer features (transaction amount, time of day, location distance). 3. Set contamination parameter based on historical fraud rate. 4. Generate anomaly scores and flag top 1% as suspicious. 5. Create alerting system with precision/recall monitoring. Visualize anomalies on a scatter plot with decision boundary. Balance false positives vs fraud detection.

Design a dbt (data build tool) project for analytics engineering. Structure: 1. Staging models (raw data cleaning). 2. Intermediate models (business logic transformations). 3. Mart models (final aggregated tables). 4. Tests for data quality (unique, not_null, relationships). 5. Documentation with schema.yml and descriptions. Implement incremental models for large tables and use Jinja macros for reusable logic. Include CI/CD integration.

Create a production-quality Jupyter notebook template. Structure: 1. Markdown header with title, author, date, and objective. 2. Table of contents with anchor links. 3. Environment setup cell (imports, configs, random seed). 4. Exploratory Data Analysis section with visualizations. 5. Modeling section with clear train/test split. 6. Results summary with key metrics and business recommendations. Use consistent styling, hide warnings, and include inline documentation.

Analyze user retention using cohort analysis. Deliverables: 1. Cohort table showing retention % by signup month. 2. Heatmap visualization with color gradient (green=high, red=low). 3. Retention curves comparing different cohorts. 4. Calculate Day 1, Day 7, Day 30 retention rates. 5. Identify trends and anomalies with statistical annotations. Use Python (pandas, seaborn) or SQL + BI tool. Include actionable insights for product team.

Build an automated data quality monitoring system. Checks to implement: 1. Completeness (null percentage per column). 2. Uniqueness (duplicate detection). 3. Validity (regex patterns, range checks). 4. Timeliness (data freshness alerts). 5. Consistency (cross-table referential integrity). Create a dashboard showing quality scores over time with alerting for threshold breaches. Use Great Expectations or custom Python validators.

Create advanced features for a churn prediction model. Techniques: 1. Temporal features (days since last purchase, purchase frequency). 2. Aggregations (total spend, average order value). 3. Categorical encoding (one-hot, target encoding). 4. Interaction features (tenure × monthly charges). 5. Feature selection using mutual information and correlation analysis. Document feature importance and business rationale for each engineered feature.

Architect a real-time data pipeline using Apache Kafka. Components: 1. Producer sending clickstream events (JSON). 2. Kafka topic with 3 partitions for scalability. 3. Consumer group processing events in parallel. 4. Stream processing with Kafka Streams for aggregations. 5. Sink connector to write to Elasticsearch. Include error handling, exactly-once semantics, and monitoring with Kafka lag metrics.

Perform RFM (Recency, Frequency, Monetary) customer segmentation. Process: 1. Calculate RFM scores from transaction data. 2. Normalize features using StandardScaler. 3. Determine optimal K using elbow method and silhouette score. 4. Apply K-means clustering (4-6 segments). 5. Profile each segment with descriptive statistics and business labels (Champions, At-Risk, Lost). Visualize clusters using PCA 2D projection.

Build a time series forecasting model using Facebook Prophet. Steps: 1. Prepare historical sales data with daily granularity. 2. Add custom seasonality for Black Friday and holiday peaks. 3. Include external regressors (marketing spend, weather). 4. Generate 90-day forecast with uncertainty intervals. 5. Validate model using cross-validation and MAPE metric. Visualize actual vs predicted with interactive Plotly charts.

Design a production-grade Airflow DAG for daily ETL. Workflow: 1. Extract data from PostgreSQL and REST API. 2. Transform using pandas (clean, join, aggregate). 3. Load to data warehouse (Snowflake/BigQuery). 4. Send Slack notification on success/failure. 5. Implement retry logic and SLA monitoring. Use TaskGroups for organization, XComs for data passing, and proper error handling with callbacks.

Create a statistical analysis tool for A/B test results. Features: 1. Calculate conversion rate for Control vs Variant. 2. Compute p-value using two-proportion z-test. 3. Determine statistical significance at 95% confidence level. 4. Calculate required sample size for desired power (80%). 5. Visualize confidence intervals with error bars. Include interpretation guidelines for non-technical stakeholders.

Optimize a slow-running SQL query on a 50M+ row table. Techniques to apply: 1. Add appropriate indexes on WHERE and JOIN columns. 2. Replace subqueries with CTEs (Common Table Expressions). 3. Use EXPLAIN ANALYZE to identify bottlenecks. 4. Partition large tables by date for faster scans. 5. Rewrite correlated subqueries as window functions. Provide before/after execution times and explain each optimization decision.

Design a C-suite executive dashboard in Tableau. Layout: 1. KPI cards showing YoY growth for Revenue, Profit, Customer Count. 2. Geographic heat map of sales by region. 3. Trend line chart with forecast band for next quarter. 4. Top 10 products bar chart with drill-down capability. 5. Interactive filters for date range and business unit. Use a professional color palette (blues/grays) and ensure mobile responsiveness.

Build a robust data cleaning pipeline for a messy CSV dataset. Requirements: 1. Handle missing values using forward-fill, backward-fill, and mean imputation strategies. 2. Detect and remove outliers using IQR method. 3. Standardize date formats across multiple columns. 4. Remove duplicate rows based on composite keys. 5. Generate a data quality report showing before/after statistics. Use pandas best practices with method chaining for readability.

A detailed 3D isometric room for a cyberpunk RPG. Features: 1. View from an angled perspective. 2. Glowing computer terminal, bunk bed with neon sheets, and cluttered floor. 3. High-quality 3D models with clean lighting. 4. Cyberpunk color palette (purple, green, yellow). 5. Transparent background for game asset use. Ready for Unity/Unreal integration.

A tribute to 'The Persistence of Memory'. The prompt creates: 1. Photorealistic melting pocket watches draped over a desert landscape. 2. Strange, elongated organic shapes in the distance. 3. Clear, blue Catalonian sky and still water. 4. Masterful use of weird perspective and dream-logic. 4K high-art generation.

Vintage fashion illustration in the style of 1960s London. Components: 1. Go-go boots and miniskirts with geometric patterns. 2. Twiggy-style eye makeup (exaggerated lashes). 3. Bold, pop-art colors (orange, pink, teal). 4. Rough marker and ink texture. 5. High-fashion pose with elongated limbs. Retro, chic, and sophisticated.

Ultra-detailed 17th-century Baroque ornament. Visuals: 1. Intricate gold leaf swirls and floral patterns. 2. Realistic depth and relief shadows. 3. Deep crimson velvet fabric background. 4. Reflection of a candle-lit room on the gold. 5. Seamlessly tiling pattern for high-end wallpaper, fashion, or interior design.

High-end product packaging for Matcha tea. Design: 1. Washi paper texture. 2. Single vertical line of Japanese kanji. 3. Geometric green shapes (minimalism). 4. A small, elegant gold-leaf seal. 5. Macro photography on a grey stone surface. Peaceful, premium, and sophisticated. Designed for luxury retail niche.

An educational visualization of Pixar's storytelling logic. Shot: 1. A 3D graph showing 'Tension' over 'Time'. 2. Iconic characters (e.g., Woody, Joy, Buzz) placed at emotional peaks. 3. Bright, friendly lighting and rounded 3D shapes. 4. Instructional annotations in a playful font. 5. High-fidelity 3D render with sub-surface scattering.

Extreme high-contrast comic book noir style. 1. Deep, solid blacks and blinding whites. 2. A single splash of color (e.g., Red lips or dress). 3. Dramatic rainfall in white streaks. 4. Heavy ink shadows and sharp silhouettes. 5. Gritty, hard-boiled detective aesthetic. Professional graphic novel quality.

A modern remix of 'The Starry Night'. The prompt applies Van Gogh's iconic thick impasto swirls to a futuristic space station orbiting Saturn. Details: 1. Vibrant yellow and blue color palette. 2. Swirling gas clouds and neon rings. 3. Hand-painted brushstroke texture. 4. Dynamic, energetic composition. 5. A masterpiece of AI art history.

A futuristic high-rise apartment in Night City. Visuals: 1. Large window showing a rainy neon cityscape. 2. Cluttered desk with holographic monitors and hardware. 3. Grimy but high-tech furniture. 4. Pink and cyan mood lighting. 5. Cinematic composition with a focus on 'high-tech, low-life' details.

Hand-painted 2D background inspired by Hayao Miyazaki. Scene: 1. Lush, vibrant green forest with sunbeams (God rays) filtering through leaves. 2. Small whimsical forest spirits (Kodama style). 3. Crystal clear stream with blue and white accents. 4. Soft watercolor textures and detailed foliage. 5. Peaceful, nostalgic, and world-class animation quality.

Macro shot of an Italian gelato swirl. Flavor: Pistachio and dark chocolate. Details: 1. Thick, creamy ripples. 2. Slow melting at the edges. 3. Fine flecks of crushed nuts. 4. Soft pink and green color palette. 5. Glossy reflection on the scoop's surface. Dreamy, high-end dessert marketing look.

The rich, complex texture of Mexican Mole Negro. Visual: 1. Pouring thick, dark chocolate-based sauce over tender chicken. 2. Topping with sesame seeds. 3. Glistening oil and spices. 4. Earthenware 'cazuela' plate. 5. Warm, textured background (clay and wood). Deep, earthy tones and professional studio lighting.

The chaotic beauty of an Indian street food stall. Action: 1. Mixing layers of papdi, potatoes, chickpeas, curd, and chutneys. 2. A sprinkle of spicy 'sev' in mid-air. 3. Vibrant colors (Red chili, green mint, white yogurt). 4. Close-up of hands working rapidly. 5. Shallow depth of field focusing on the ingredients.

The Zen of lunch. A beautifully arranged Japanese Bento box. Includes: 1. Salmon teriyaki, sushi, tamagoyaki, and pickled vegetables. 2. Perfectly compartmentalized sections. 3. Natural wood box texture. 4. Soft, overhead natural lighting (morning sun). 5. Focus on the harmony of colors and textures (green, pink, orange, white).

Revealing the 40+ micro-layers of Turkish Baklava. Shot: 1. Pushing a fork down through the layers to show the crunch and flakiness. 2. Pistachio filling visible in the center. 3. Honey-syrup glistering on the surface. 4. Traditional copper plate and Turkish tea in the background. High-contrast, vibrant golden hues.

The first spoon-cut into a molten lava cake. Technical requirements: 1. Dark, rich chocolate oozing out in a slow, viscous stream. 2. Vanilla ice cream melting on top. 3. A sprinkle of powdered sugar and fresh raspberries. 4. Dimly lit, romantic restaurant atmosphere. 5. Glistening reflections on the warm chocolate.

The expert 'dough-toss'. A chef skillfully spinning and flipping a large pizza base into the air. Visuals: 1. Flour dusting in the light (Lens flare). 2. Thinning of the dough as it spins. 3. Authentic Neapolitan kitchen background with a wood-fired oven. 4. Motion blur on the spinning dough but sharp focus on the chef's hands.

The perfect ramen 'noodle-pull'. 1. Chopsticks lifting a large clump of springy, yellow noodles from a steaming tonkotsu broth. 2. Broth glistening on the noodles. 3. Soft-boiled egg (nitamago) yolk slowly drizzling. 4. Steam rising into the light. Warm, cozy, and highly appetizing 4K close-up.

The futuristic 'Bubble' of flavor. A slow-motion (240fps) capture of a mango-juice sphere popping onto a white porcelain spoon. Features: 1. Glass-like surface of the sphere. 2. Liquid explosion with gold-leaf flakes. 3. Pure, minimalist background. 4. Sharp focus and high-contrast lighting. High-end, experimental culinary art.

High-energy assembly of Mexican street tacos. Style: 1. Rhythmic chopping of cilantro and onions. 2. Tossing of 'al pastor' meat with pineapple onto a hot griddle. 3. Squeezing fresh lime with juice spray. 4. Pouring of vibrant green salsa. Gritty, authentic, 'live' feeling with high saturation and fast cuts. Perfect for food-vlog content.

The delicate engineering of French Macarons. Key steps: 1. Sifting almond flour for a 'zero-lump' batter. 2. The 'feet' rising perfectly in a macro-timelapse. 3. Pipe-filling with vibrant ganache. 4. The 'matching' of the shells. Soft pastel aesthetic, high-key lighting, emphasizing the luxury and precision of French pastry.

An immersive sensory experience of a Korean BBQ grill. Features: 1. High-quality wagyu beef strips sizzling on a round grill. 2. Smoke rising into a copper extraction vent. 3. Side dishes (Banchan) beautifully arranged. 4. The 'first bite' - wrapping meat in lettuce with kimchi. Sharp, vibrant colors, emphasizing the freshness and heat of the grill.

The ultimate 'Food Porn' shot of an Italian Tiramisu. The 'Reveal': 1. Cake ring being lifted to show clean layers of mascarpone and coffee-soaked ladyfingers. 2. Sifting of high-quality cocoa powder onto the top. 3. Macro shot showing the airy texture of the cream. Soft, warm kitchen lighting with a rustic espresso bar background.

The art of rolling a perfect Dragon Roll. Timelapse focus: 1. Precision rice spreading. 2. Layering of tempura shrimp, avocado, and cucumber. 3. The 'perfect roll' motion with the bamboo mat. 4. Sharp knife slice reveal of the cross-section. 5. Drizzling of unagi sauce and spicy mayo. Ultra-HD, 60fps cinematic look.

A high-speed, ASMR-focused recipe for authentic Butter Chicken. Visuals: 1. Searing marinated chicken in a cast-iron skillet. 2. Making the creamy tomato gravy with cascading cream. 3. Final garnish with cilantro and butter melt. Audio: Sizzling, pouring, and crunching. Cinematic food photography with deep red and orange saturation.

Automatic generation of a 20-page Brand Book. Includes: 1. Logo placement rules. 2. Color Palette (Hex, RGB, CMYK). 3. Typography hierarchy. 4. Imagery style & filters. 5. Brand 'Voice' and Tone guidelines. Minimalist, professional template that works for early-stage startups to established brands.

Visualize every touchpoint a customer has with your brand. Phases: Awareness -> Consideration -> Purchase -> Retention -> Advocacy. UI includes: 1. Expandable 'Pain Point' nodes. 2. 'Emotional state' curve chart. 3. Channel breakdown (Ads vs Organic). 4. Key 'Zero Moment of Truth' highlights. Pro-level marketing asset.